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/Labs/02/Task 3: Evaluation and prep for next lab
+/Labs/03/Candidate, Primary, and Alternate Keys
+
+/Labs/03/Check Constraints
+
+/Labs/03/Column Values: Mandatory and Default
+
+/Labs/03/Developing and Testing Your Code
+
+/Labs/03/ERD
+
+/Labs/03/Final Test and Submit
+
+/Labs/03/Foreign Keys
+
+/Labs/03/Getting Set Up
+
+/Labs/03/Images/ERD
+
+/Labs/03/Images/ERD_full.svg
+
+/Labs/03/Images/Tables.svg
+
+/Labs/03/Implement Check Constraints
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+/Labs/03/Implementing the ERD
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+/Labs/03/Lab 3: Building a Relational Database
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+/Labs/03/Part 1: Building a Relational Database
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+/Labs/03/Part 2: Database Integrity Constraints
+
+/Labs/03/Running Code in a DBMS
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+/Labs/03/Table and Column Constraints
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+/Labs/03/Test your connection
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/Reference/DBeaver/DBeaver
/Reference/Lab Environment/Citrix Workspace
@@ -322,39 +360,19 @@
$:/isEncrypted
-$:/Labs/03/Candidate, Primary, and Alternate Keys
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$:/Labs/03/CHECK Constraints
-$:/Labs/03/Column Values: Mandatory and Default
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$:/Labs/03/Database Integrity Constraints
$:/Labs/03/Developing and Testing Your Code
-$:/Labs/03/Foreign Keys
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-$:/Labs/03/Getting Set Up
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-$:/Labs/03/Images/ERD
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$:/Labs/03/Importing Data
-$:/Labs/03/Lab 3: Building a Relational Database
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-$:/Labs/03/Part 1: Building a Relational Database
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-$:/Labs/03/Running Code in a DBMS
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$:/Labs/03/Scenario and Recap
-$:/Labs/03/Table and Column Constraints
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$:/Labs/03/Task : Implementing the ERD
-$:/Labs/03/Test your connection
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-$:/Labs/04/Continue work on second assignment and prepare for next lab
+$:/Labs/04/Complete the Water Sample System
$:/Labs/04/Delete Data
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$:/Labs/04/Lab 4: Inserting and Deleting Data
+$:/Labs/04/Prepare for next lab
+
$:/Labs/04/Scenario and Setup
$:/Labs/05/Lab 5: Querying Data (1)
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$:/Labs/05/Task 2: Joins
-$:/Labs/05/Task 3: Continue work on second assignment and prepare for next lab
+$:/Labs/05/Task 3: Prepare for next lab
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+$:/Labs/06/Grouped Aggregate Queries (GROUP BY, HAVING)
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+$:/Labs/06/Lab 6: Querying Data (II)
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+$:/Labs/06/Scenario and Setup 1
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+$:/Labs/06/Specialised Joins
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+$:/Labs/06/Subqueries
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+$:/Labs/06/Task 1: Group by Exercises
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+$:/Labs/06/Task 2: Join Exercises
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+$:/Labs/06/Task 3: Subquery Exercises
$:/language/Snippets/TableOfContents
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C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\fig1.svg
+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\ERD_Full.png
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C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab01\Entropy.svg
+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab01\Images\HuffmanByCharacter.svg
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+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab01\Images\HuffmanTreeCode.svg
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+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab01\Images\HuffmanWikipedia.svg
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C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab01\Images\WikipediaHuffman.png
C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\_Labs_03_Images_Tables.jpg
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C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\Images\Untitled.pdn
+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\Images\water_erd_embeded_font.svg
+
C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\Tables.jpg
C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\Tables.svg
+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\water_erd.puml
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+C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\content\labs\lab03\water_erd.svg
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C:\Users\burga12p\COMP101\Labs\labs_git\tiddlers\system\shadows\$__config_ViewToolbarButtons_Visibility_$__core_ui_Buttons_edit.tid
Entropy.svg
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{"title":"/Labs/02/Task 3: Evaluation and prep for next lab","text":"You now have an ERD that you can use as a blueprint for constructing a database. The next step is to start thinking about how certain elements of the ERD should be implemented in SQL.\n\nAs discussed in lectures, relationships in an ERD become foreign keys in a relational database. This means that you’ll need to link associated pairs of relations by embedding the primary key of one as an attribute in the other. Here are some rough guidelines for doing this:\n\n* For a 1:M relationship, the foreign key is always embedded in the relation on the many side.\n\n* For a 1:1 relationship, the foreign key can be embedded in the relation on either side (or even on both sides). Participation can help here: if one side is optional (O) and the other mandatory (I), then it’s better to put the foreign key on the optional side.\n\n* M:N relationships need to be broken down into two 1:M relationships with an associative entity, as discussed in lectures. You can then apply the 1:M guideline to work out the foreign keys.\n\nWhat foreign key attributes do you need to add to which entities? \u003Chr>\u003Cbr>\u003Chr>\u003Cbr>\u003Chr>\n\t\nAnother important thing to consider is the type or domain of each attribute. For each attribute in your ERD, what general type of data will be stored in it (e.g., numeric, text, date/time, …)? \u003Chr>\u003Cbr>\u003Chr>\u003Cbr>\u003Chr>\u003Cbr>\u003Chr>\u003Cbr>\u003Chr>\n\t\nAre there any attributes that at first glance look like one type of data (e.g., numbers), but should probably be stored as something else (e.g., text)? Why? \u003Chr>\u003Cbr>\u003Chr>\u003Cbr>\u003Chr>\u003Cbr>\u003Chr>","type":"text/x-markdown","section":"3","tags":"lab lab01","revision":"0","bag":"default"},
+{"title":"/Labs/03/Candidate, Primary, and Alternate Keys","text":"In the Relational Model, the most important kind of key is the candidate key. A candidate key is a set of columns whose values must be unique for all rows. No element of a candidate key may be null, since nulls cannot be compared for equality (which is the basis of uniqueness). Every table must have at least one candidate key, in order to avoid duplicate rows, which should be avoided – as Edgar Codd observed, “Saying something more than once doesn’t make it any more true.” \n\nIn SQL, there is no **CANDIDATE KEY** constraint – only **PRIMARY KEY** for the candidate key chosen as the most useful identifier, and UNIQUE for others. Note that **PRIMARY KEY** implies **NOT NULL** for all attributes, but **UNIQUE** does not, so you should add **NOT NULL** constraints for those. \n\nSQL allows at most one **PRIMARY KEY** constraint per table, and while it will permit a table with no primary key, you should never do this in practice (other than for temporary tables for importing data that need to be cleaned up first). \n\nNote that in general, a key is a set of columns, and it is not unusual for a key to have more than one (these are known as composite keys). When declaring a composite key, use the usual SQL list syntax, like so:\n\n \n```plaintext\nprimary key (Student_ID, Paper_Code, Year, Semester) \n```\nNote that adding more columns to a key makes it “less unique”, i.e. it undermines its strictness. Therefore, use only the minimal set of attributes required to assure uniqueness. Using existing columns to form a composite primary key is generally preferable to creating a new surrogate key, since surrogate key values have no intrinsic meaning. \n\nUsing the ERD as a guide, identify the primary key for each of the following tables:\n\n•\tScientist: \t\n•\tSample: \t\n•\tSite: \n\n**Now modify your CREATE TABLE statements to implement these, and test that they are correctly enforced.**\n\n","type":"text/x-markdown","section":"3.2","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Check Constraints","text":"Any additional validation rules for the database can be enforced using the general-purpose CHECK constraint type. The body of a CHECK constraint is a condition (true/false expression), which will usually centre around the following: \n\n•\tEquality (=) \n•\tInequality (>, \u003C, >=, \u003C=, BETWEEN) \n•\tSet membership (IN) \n•\tThe string pattern matching operator, LIKE (and NOT LIKE) \n•\tThe logical operators AND, OR, NOT \n\nHere is a typical CHECK constraint (but see the lectures for further examples):\n ```plaintext\n\t… constraint Sale_Shipped check (Shipped in ('T', 'F')), \n```\n### SQL’s Expression Language\nMost SQL dialects have an extensive library of elements that you can use to build database-specific formulae. These can be used in most places a value is expected, including when defining integrity constraints. For example:\n\nhttps://www.w3schools.com/sql/sql_operators.asp \n\nAlso often used in queries in conjusnction wit the WHEWE clause but can be used independantly: \n\nhttps://www.w3schools.com/sql/sql_where.asp \n\nw3 is a very good resource for all things SQL (not database specific): \nhttps://www.w3schools.com/sql/sql_intro.asp \n\nTo test a particular formula, write it in the SELECT clause of a SELECT statement, e.g.\n\n\n```plaintext\nselect 13 * 49, length('abracadabra'), Current_Date + 6 ;\n```\nWhen implementing any complex CHECK constraint, test your formula thoroughly first using a SELECT statement as shown, especially if you are using unfamiliar operators or functions. You will find this much quicker and easier than having to implement the entire table before testing.","type":"text/x-markdown","section":"3.4","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Column Values: Mandatory and Default","text":"### Mandatory Column Values\nColumns that are required to have a value (indicated by • in the ERD) should have a NOT NULL constraint applied, following the data type, like so:\n \n \n```plaintext\n\tSale_Date timestamp not null,\n```\n### Default Column Values\nSometimes a column has a sensible default value, which the system can insert automatically if the user does not specify one. These can be a fixed value such as a default bank balance of 0, or a calculation such as using the current date and time for new sales. \n\nTo define a default column value, use the DEFAULT keyword followed by the desired expression. This must appear after the data type for the column, but before any constraints such as NOT NULL.\n\n\n```plaintext\nSale_Date timestamp default current_timestamp not null,\n```\n**Update your DDL to match the requirements for mandatory values in the ERD.**","type":"text/x-markdown","section":"2.3","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Developing and Testing Your Code","text":"When developing your code, use an incremental approach: test early and often! Run each CREATE TABLE statement by itself (using Ctrl+Enter) and verify that there are no syntax errors. If errors are reported, try to read and understand them. If the error isn’t obvious, check for things like missing or extraneous commas, blank lines, semicolons, parentheses, or misspelled keywords. \n\nEnable line numbers in the gutter/left margin of the editor (right-click), as error messages will often refer to the line number. If you can’t see an error there, look at the end of the previous line. You will often see a red underlining as well.\nIf you need to make changes to a table, the easiest way is to drop the table, amend your code, and run it again. Use the DROP TABLE statement like so:\n\n```plaintext\ndrop table Scientist;\n```\nYou may wish to keep a DROP TABLE statement for each table at the start of your script for easy use. Tou may wish to enclose them all in a block comment so that they normally have no effect but can be run when required. \n\nTo check that a table is working properly, try inserting data, e.g. \n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone) values (123, 'Hankins', 'Stephanie', 'steph@mail.com', '021 123 456');\n```\nFor testing, use the data from the Excel spreadsheets you already have. When entering dates, convert from the character representation to a true date using the TO_DATE function with a suitable format, e.g.\n```plaintext\n… to_date('31/JUL/2017', 'DD/MON/YYYY') …\n```\nYou can also convert from an internal date to a formatted string using the TO_CHAR function:\n```plaintext\n… to_char(current_date, 'YYYY-MM-DD HH24:MI:SS') \n```\nTo check that the data has gone in, use the SELECT statement to query the table:\n```plaint4ext\nselect * from Scientist;\n```\nTo insert a default value, either omit the column name and value from your INSERT statement, or use the DEFAULT keyword in place of the value. \n\nTo insert a null (missing value), either omit the column name and value from your INSERT, or use the **NULL** keyword instead of the value. \n\nAs an alternative to dropping and re-creating the table, you can use the **ALTER TABLE** statement. This is a little more complicated to use, but has the advantage of leaving the table and its data in place. This would be an essential tool for a database administrator wanting to modify a live database! That said, modifying your **CREATE TABLE** statements has the advantage of keeping the entire table definition in one place. As you will see next time, the order of your CREATE TABLE statements will matter when you have foreign keys. \n\nMake sure you have saved your SQL source file, and know where to find it again!\n#### Further Reading\nhttps://www.postgresql.org/docs/current/sql.html\n\n","type":"text/x-markdown","section":"2.2","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/ERD","text":"### ERD Water Sample System\nUse the Lab03 worksheet to help you define your data types and constraints. \n\n\n{{/Labs/03/Images/ERD_full.svg}}\n","type":"text/x-markdown","section":"2.0","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Final Test and Submit","text":"### Test\nImport some data to make sure your tables are correct and have the correct data types and size to accomodate realistic data. See section 2.2 for an example of an **INSERT** statement.\n\nTry importing some invalid data that should be prevented by your check constraints. (GIGO)\n\nRun your script to test it. It must run in one action. Just because individual statements have run fine does not mean it will run as a script! \n\nYou should have **drop table** statements at the top of your script to clear out all existing tables and then recreate them. \n\nMake sure your DDL script has only the table structure in it, keep all your INSERT statements and queries in seperate .sql files.\n\nPrior to implementing integrity constrains these **drop table** statements could be in any order. After implementing integrity there is a specific order to drop. You can't drop either Scientist or Site Table until the Sample is dropped first. **Make sure you understand why this is the case!** \n### Submit\n**Submit your WaterSample.sql script to Blackboard for marking.**","type":"text/x-markdown","section":"4.0","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Foreign Keys","text":"Foreign keys enforce referential integrity: they ensure that each row has a valid parent row (in this sense, they prevent “orphan” rows). A foreign key is required for each relationship identified on the ERD, and the foreign key will appear on the “many” side, and reference a candidate key (usually the primary key) on the “one” side. \n\nA foreign key is a set of attributes (columns in SQL), and must match the parent key in both number of elements and data types. The column names can differ, but should normally match. You can satisfy both of these by copying the parent column definitions and pasting them into the child table (but check carefully whether the foreign key attributes should have **NOT NULL** constraints applied). We recommend that you declare foreign keys in SQL using named table-level constraints, like so: \n\n \n```plaintext\nconstraint Enrolment_Student_FK foreign key (Student_ID)\n\t\treferences Student,\n```\nIf the column names differ, identify the corresponding columns in the parent table like so:\n```plaintext\nreferences Student (Student_ID), \n```\nThe foreign keys in your schema will dictate the order of your **CREATE TABLE** statements. Since a foreign key always references a candidate key from the parent table, that parent table must exist first. For example, in a student records system, you would have to create the Paper and Student tables before you could create the Enrolment table. If you imagine moving the crow’s foot signifying the “many” side along the relationship, it will resemble an arrow head pointing at the table that must exist first. You might even like to number the tables on your ERD as a guide to their order, for example: \n\n{{/Labs/03/Images/Tables.svg}} \n\nSimilarly, when entering data into your tables, you must enter the parent rows first, e.g. you would have to record a paper and a student before you could enter an enrolment. **DELETE** and **DROP TABLE** statements would use the reverse order. \n\nIf a foreign key references a composite candidate key, the foreign key will also be composite. \n#### Questions\n\nWhich of Scientist, Sample, and Site will have foreign keys?\n\t\nWhat columns would make up each foreign key?\n\t\n\t\nWhich foreign keys would be mandatory (NOT NULL)?\n\t\nIn what order would the tables need to be created?\n\t\nModify your **CREATE TABLE** statements to implement these, and test that they are correctly enforced.\n\n","type":"text/x-markdown","section":"3.3","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Getting Set Up","text":"The first task will be to connect to a PostgreSQL database using \u003C\u003ClinkFromPath path:\"/Reference/DBeaver/DBeaver\" text :\"DBeaver\">> DBMS \n\nCheck your email for instructions to connect to PostgreSQL using DBeaver.\n \n","type":"text/x-markdown","section":"1.2","tags":"Contents","revision":"0","bag":"default"},
+
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mf8A7Cj/AIWb/wBQj/yZ/wDsKAD/AIWb/wBQj/yZ/wDsKP8AhZv/AFCP/Jn/AOwo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\n/wDfb/8AxNAB/wAK41j/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id=\"image843\"\n x=\"-3.6033533\"\n y=\"0\" />\n \u003C/g>\n\u003C/svg>\n","type":"image/svg+xml","tags":"image","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Implement Check Constraints","text":"### Implement and test the following integrity constraints:\n•\tSite region should be Dunedin, Alexandra, or Tekapo. \n\n•\tSite altitude should be constrained according to New Zealand’s geography (from -2 m on the Taieri Plains to 3724 m for Aoraki/Mount Cook, but call it -10 m to 4000 m).\n\n•\tThe institute was founded in 2015, so there should be no samples before the start of that year. \n\n•\tE-mail addresses should contain an ‘@’ symbol. (Extra challenge: ensure that there is only one ‘@’, and that it is not at the start or end.) \n#### Optional\n•\tExtra challenge: the first two characters of the site code should match the region (e.g. ‘DN’ for Dunedin). \n\n•\tExtra challenge: refactor the region constraint to use a separate lookup table. What advantages would this bring?\n","type":"text/x-markdown","section":"3.5","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Implementing the ERD","text":"Now that you have details for the main entities, you can begin writing SQL CREATE TABLE statements, but first, fill out the relevant parts of the table structure worksheet.\n### Creating a Table\nEach entity type in the ERD will become a table in the database. Attributes will become columns. Each column definition within the **CREATE TABLE** statement begins with the column name and data type. In SQL, lists (such as the columns within a table) are written in parentheses, with commas separating the items, e.g. “(a, b, c)”, so don’t forget the comma after each column (except for the last one).\nHere’s a cut-down example of a **CREATE TABLE** statement that you can use as a guide:\n```plaintext\ncreate table Employee\n(\n\tEmployee_ID\tvarchar2(6),\n\tFirst_Name\tvarchar2(20) not null,\n\tLast_Name\tvarchar2(25) not null,\n\tHire_Date\tdate default current_date,\n\tSalary\t\tnumber(8,2),\n\tCommission_Percent\tnumber(2,2) default 0,\n);\n```\nhttps://www.postgresql.org/docs/current/tutorial-table.html \n\nNote that we have omitted the primary key constraint for now; this (and other constraints) will be introduced later. \n### Table and Column Names\nGenerally, you should base your SQL names (identifiers) on the specification provided by the ERD. However, SQL identifiers cannot normally contain spaces, which are usually replaced by the underscore character, “_”. Your development team’s style guide might dictate other changes, e.g. replace “#” with “_Num”. There are a few other prohibited characters, and identifiers cannot start with a digit. Identifiers should be descriptive but not too long. \n\nIdentifiers must also be unique, of course (within the scope of the table in the case of column names, or across the entire database for table and constraint names). \n\nSQL-aware text editors will apply syntax-highlighting to keywords, but note that not all keywords are reserved words; that is, just because an identifier is highlighted does not necessarily mean you can’t use it as an identifier. **SAMPLE** is an example of this.\n### Column Data Types\nWhen defining a column, you must choose a suitable data type. Your main choices are:\n\n\n•\t**CHAR** for fixed-length character strings (default length = 1), e.g. CHAR(3). \n\n•\t**VARCHAR** for variable length strings (size limit required), e.g. VARCHAR(50). Varchar will only store the characters needed, so be generous with the size limit. \n\n•\t**NUMERIC** (or equivalently **DECIMAL**, or **NUMBER**) for integers and decimal numbers. Specify a precision and scale to control the number of significant figures and decimal places respectively, for example **NUMERIC(2)** for integers up to 99, or **NUMERIC(5,2)** for decimal numbers up to 999.99. \n\n•\t**DATE** or **TIMESTAMP** for date/time data (with optional time zone). These do not require a size. \n\n•\t**INTERVAL** for relative time (durations), such as for lap times in a race, or the playing time of music tracks. \n\n•\t**BLOB** or **CLOB** for binary or character large objects (such as PDFs, video, and Web pages). \n\nFor comprehensive information on the data types provided by PostgreSQL, as well as further useful information about expressing and comparing values, consult the documentation: \nhttps://www.postgresql.org/docs/current/datatype.html \n### Questions to answer\nWhat criteria would you use to choose a data type for a column?\n \n \n\n---\n\nWhy might it be unwise to use a numeric type for storing phone numbers? \n\n---\n**Start filling in the field names and data types in the worksheet to guide you when building your CREATE TABLE statement.**\t \n\n**Now write the DDL for the first three tables and run it.** \n\nYou may need to debug it, pay attention to the error messages.\n\t\n\n","type":"text/x-markdown","section":"2.1","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Lab 3: Building a Relational Database","tags":"lab toc","type":"text/vnd.tiddlywiki","text":"\u003Cdiv class=\"no-print\">Click the \u003C\u003Cmenu \"Open All\">> button below to open all of the sections for this lab.\u003C/div>\n\n!! Contents\n\n\u003C$set name=\"path\" value=\"/Labs/03/\">\n\n\u003C$macrocall $name=\"contents-tree\" path=\u003C\u003Cpath>> />\n\u003Cdiv class=\"no-print\">\u003C$macrocall $name=\"openByPath\" path=\u003C\u003Cpath>> />\u003C/div>\n\n\u003C/$set>","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Part 1: Building a Relational Database","text":"### Today’s Learning Outcomes\n* Understanding ERDs\n* Connecting to PosgreSQL database using DBeaver DBMS\n* SQL CREATE TABLE statements\n* SQL data types\n* Default Column Values\n* Mandatory columns\n* Populate and query tables\n# Introduction \nOver the next few labs, you will learn how to create and use a database using the SQL language a PostgreSQL database and the DBeaver database management system. Databases form the foundation of most information systems, and they provide a powerful and consistent way to organise and manage large volumes of shared data. \n\n{{/Labs/03/Images/ERD_full.svg}}\n### Scenario and Recap\nToday’s lab continues from last time, taking the ERD for the water quality scenario and beginning to implement it as a real database. The database approach should avoid many of the problems you encountered earlier with ad-hoc management of data, such as duplicated or missing data, inconsistencies in how values are recorded, and fragmented “islands of information”. \n\nUsing sample data (Excel spreadsheets and a sample form), information from members of the organisation, and your wits, you analysed the business requirements and designed the ERD shown in the figure. The next step is to map the ERD to a set of SQL CREATE TABLE statements. \n\n**This lab focuses on Scientist, Sample, and Site**, and getting the structure, naming, and data types right. Then you will add integrity constraints (primary and foreign keys, **NOT NULL** for mandatory columns, and additional business rules). \n\nWe will be creating the Measurement and Measurement Type entities later. \n","type":"text/x-markdown","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Part 2: Database Integrity Constraints","text":"### Main Concepts:\n* Primary key constraints \n* Foreign key constraints \n* CHECK constraints \n* Column vs table constraints \n* Table creation order \n* Constraint naming \n* Testing constraints \n* Importing data \n### Introduction\nA database with a well-designed structure that is centrally stored and managed is a good start, but there are still some potential problems with your database as it currently stands. For example, what happens if you try to add the same scientist more than once? What happens if you try to record a sample for a site that does not exist? The system should disallow these sorts of invalid data, and the key to enforcing this is integrity constraints. \n\nSQL DBMSs support a number of kinds of constraint, which can be built into your database via extra code in your CREATE TABLE statements: \n\n•\t**NOT NULL** for mandatory columns (which you looked at last week) \n\n•\t**PRIMARY KEY** and **UNIQUE** for identity columns \n\n•\t**FOREIGN KEY** for referential integrity (orphan prevention) \n\n•\t**CHECK** for miscellaneous “business rules” \n\nYou will be extending the SQL schema definition script you created last time, so start by making a copy of that file in a new folder for this week’s lab and opening the new copy in DBeaver.\n","type":"text/x-markdown","section":"3.0","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Running Code in a DBMS","text":"SQL is a text-based command language for database work. Each SQL statement instructs the database server to perform some task, such as creating a new table or deleting a row. SQL statements begin with one or two keywords that identify the action to be performed, and end with a semicolon (“;”). \nOther clauses and expressions can appear in between.\nStatements can span lines, and all whitespace is equivalent. SQL is case-insensitive, except for character strings, and identifiers written inside double-quotation marks. \nYou can annotate your code with comments, which will be ignored by the system. Both line and block comments are supported:\n \n \n```plaintext\n-- This is a single-line comment. \n\n/* This is\n a multi-line\n comment. */ \n``` \nThe code you write has no effect until you run it. For normal development and testing, you should run only the current statement (the one nearest the text cursor), by typing Ctrl+Enter. You can also execute a group of statements by selecting them and pressing the F5 key. To run the entire file as a script, press F5 with nothing selected. \n\nNOTE: The code you see in the editor in front of you does not necessarily match what is in the database. Use the Database Navigator panel at the left to see the current state of the database (remember to right click and refresh to get an updated view)). You should also save a copy of your SQL source code for future reference (and make sure to save often!). \n\nNOTE: when asked to write an SQL script, you must test it thoroughly to ensure that it runs without errors as a batch. Pay particular attention to the order of the statements, and don’t assume that the script will run just because you have tested the statements individually!\n","type":"text/x-markdown","section":"1.4","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Table and Column Constraints","text":"SQL provides two syntactic forms for defining constraints: column-level (or “inline”) and table-level (or “out-of-line”). The column-level syntax bundles the constraint as part of the column definition, but has the limitation that it can only refer to that one column. The **NOT NULL** constraints you used last time were unnamed, column-level constraints. Here is a column-level primary key constraint:\n \n```plaintext\nScientist_Num varchar2(6) primary key,\n```\nThe table-level syntax puts the constraint definition at the end of the **CREATE TABLE** statement, at the same level of nesting as the other columns. Table constraints can apply to multiple columns (within the same table). We recommend that you define all primary and foreign keys as table-level constraints, for clarity and consistency. \n\nSome SQL dialects also support schema-level constraints, which can involve columns from multiple tables. \n\n### Constraint Names\nEvery constraint has a name, which must be unique within the schema. Constraint names are helpful to developers and administrators, and also to end-users, who may see them in error messages. The system does not try to interpret constraint names, however. \n\nIf you do not specify a name for a constraint, the system will generate one automatically. Such names will probably not be very meaningful (e.g. “SYS_C0023877”), so this is not considered good practice. Instead, use the **CONSTRAINT** keyword, followed by a concise but descriptive name, and then the constraint definition, like so:\n\n\n```plaintext\nconstraint Scientist_PK primary key (Scientist_Num) \n```\nA useful convention is to begin the constraint name with the table name, so that the table can be easily identified, and constraints for the same table will sort together. Include the column name(s) if appropriate (usually not for primary and foreign keys), and a brief indication of the purpose of the constraint (e.g. PK for primary key, FK for foreign key, or Range, Valid, or similar for other types). \n\nIf a constraint name is too long, you will see an error. Sensibly abbreviate the name and try again. \n\nThe system only cares about the constraint definition (the last part), and does not try to interpret the name. \n\nYou may choose not to name your NOT NULL constraints, however, as they are very common and error reports a relatively helpful and specific error message for these.\n### Testing Constraints\n\nJust because your code runs without errors does not mean it is correct! When developing any database integrity constraint, you should design some test cases and make sure that they are treated correctly. You should check that invalid data are rejected, but also that valid data are not unintentionally rejected. Test especially around “edge cases”, such as values near the boundary between valid and invalid. For primary key constraints, you should test both the unique and not null properties. \n\nNormally your test cases will be **INSERT** statements, though you can test **UPDATE** and **DELETE** operations as well. When an operation fails, check the error message carefully to make sure that it failed in the way you expected, and not for some other reason (e.g. missing punctuation).\n\n","type":"text/x-markdown","section":"3.1","tags":"Contents","revision":"0","bag":"default"},
+
+{"title":"/Labs/03/Test your connection","text":"Before we start the task for today we will test that we have our set up correct. \nWrite a simple create table statement. \n```plaintext\nCREATE TABLE test( \nUserName varchar(10) \n); \n``` \nControl Enter will run the statement or use the buttons on the left. \nRight click on the gutter between the statements and controls and select line numbers, this can be helpful to find errors. \nCheck the Navigator window to see if it created ok. No? \nRight click on the WaterSample database in the navigator and go refresh. \nCan you see table test now? \nTry insert some data. \n```plaintext \nINSERT INTO test (UserName) values ('Dr Dick');\n```\nControl Enter to run the insert statament. \nNow we test that it worked by interrogating the database with a SELECT statement. \n```plaintext \nSELECT * FROM test; \n```\nto check it is there. \n```plaintext \nDROP TABLE test;\n```\nTest completed, clear out the the test table and we are ready to start work.\n\n\n","type":"text/x-markdown","section":"1.3","tags":"Contents","revision":"0","bag":"default"},
+
{"title":"/Reference/DBeaver/DBeaver","text":"We will be using DBeaver Community {{$:/ou/parameters/DBeaver Version}} in {{$:/ou/parameters/Paper Code}}.\n\n## Lab Environment\n\nDBeaver is already installed in the lab environment. You can access it via the \u003C\u003Cmenu \"Start\">> menu at \u003C\u003Cmenu \"Information Science > DBeaver\">>.\n\nIf you don't see \u003C\u003Cmenu \"DBeaver\">>, or the \u003C\u003Cmenu \"Information Science\">> items in the \u003C\u003Cmenu \"Start\">> menu then may need to add the shortcuts. \n\nYou can add the shortcuts by using the \u003C\u003ClinkFromPath path:\"/Reference/Lab Environment/InfoSci Shortcuts\" text:\"InfoSci Shortcuts\">> script.\n\n## Personal Computers\n\nIf you have \u003C\u003ClinkFromPath path:\"/Reference/Lab Environment/Citrix Workspace\" text:\"Citrix Workspace\">> installed then you can access the lab environment from your own personal computers.\n\nIf you wish to install DBeaver directly on to your own personal computers then you can use one of the following mechanisms:\n\n### Chocolatey (Windows)\n\nIf you have the Chocolatey package manager installed then you can install DBeaver using:\n\n```plaintext\nchoco install dbeaver\n```\n\n### Homebrew (macOS)\n\nIf you have the Homebrew package manager installed then you can install DBeaver using:\n\n```plaintext\nbrew install dbeaver-community\n```\n\n### Manual Install\n\nDBeaver Community installers can be downloaded from:\n\nhttps://dbeaver.io/download/","type":"text/x-markdown","tags":"software","revision":"0","bag":"default"},
{"title":"/Reference/Lab Environment/Citrix Workspace","text":"You will need to use Citrix Workspace to access the Windows student desktop lab environment from your own personal computers. If you haven't installed the Citrix Workspace on your own computer yet, then refer to the following page for installation instructions:\r\n\r\nhttps://blogs.otago.ac.nz/studentit/student-desktop/student-desktop-own-device/","type":"text/x-markdown","tags":"software","revision":"0","bag":"default"},
@@ -712,65 +800,63 @@
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+{"title":"$:/Import","status":"complete","type":"text/vnd.tiddlywiki","text":"The following tiddlers were imported:\n\n# [[Tables.svg]]","revision":"0","bag":"default"},
{"title":"$:/isEncrypted","text":"no","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Candidate, Primary, and Alternate Keys","text":"In the Relational Model, the most important kind of key is the candidate key. A candidate key is a set of columns whose values must be unique for all rows. No element of a candidate key may be null, since nulls cannot be compared for equality (which is the basis of uniqueness). Every table must have at least one candidate key, in order to avoid duplicate rows, which should be avoided – as Edgar Codd observed, “Saying something more than once doesn’t make it any more true.” \n\nIn SQL, there is no **CANDIDATE KEY** constraint – only **PRIMARY KEY** for the candidate key chosen as the most useful identifier, and UNIQUE for others. Note that **PRIMARY KEY** implies **NOT NULL** for all attributes, but **UNIQUE** does not, so you should add **NOT NULL** constraints for those. \n\nSQL allows at most one **PRIMARY KEY** constraint per table, and while it will permit a table with no primary key, you should never do this in practice (other than for temporary tables for importing data that need to be cleaned up first). \n\nNote that in general, a key is a set of columns, and it is not unusual for a key to have more than one (these are known as composite keys). When declaring a composite key, use the usual SQL list syntax, like so:\n\n \n```plaintext\nprimary key (Student_ID, Paper_Code, Year, Semester) \n```\nNote that adding more columns to a key makes it “less unique”, i.e. it undermines its strictness. Therefore, use only the minimal set of attributes required to assure uniqueness. Using existing columns to form a composite primary key is generally preferable to creating a new surrogate key, since surrogate key values have no intrinsic meaning. \n\nUsing the ERD as a guide, identify the primary key for each of the following tables:\n\n•\tScientist: \t\n•\tSample: \t\n•\tSite: \n\nNow modify your CREATE TABLE statements to implement these, and test that they are correctly enforced.\n\n","type":"text/x-markdown","section":"3.2","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/03/CHECK Constraints","text":"Any additional validation rules for the database can be enforced using the general-purpose **CHECK** constraint type. The body of a **CHECK** constraint is a condition (true/false expression), which will usually centre around the following: \n\n•\tEquality (=) \n•\tInequality (>, \u003C, >=, \u003C=, **BETWEEN**) \n•\tSet membership (**IN**) \n•\tThe string pattern matching operator, **LIKE** (and **NOT LIKE**) \n•\tThe logical operators **AND, OR, NOT** \n\nHere is a typical **CHECK** constraint (but see the lectures for further examples):\n\n \n```plaintext\nconstraint Sale_Shipped check (Shipped in ('T', 'F')), nt,\n```\n### SQL’s Expression Language\nMost SQL dialects have an extensive library of elements that you can use to build database-specific formulae. These can be used in most places a value is expected, including when defining integrity constraints. These language elements are documented in the Oracle SQL Language Reference, under the chapters labelled Pseudocolumns, Operators, Functions, Expressions, and Conditions: \nhttps://www.h2database.com/html/grammar.html \nAnother very good resource for all things SQL \n\nhttps://www.w3schools.com/sql/sql_intro.asp \nTo test a particular formula, write it in the **SELECT** clause of a **SELECT** statement, e.g.\n\n```plaintext\nselect 13 * 49, length('abracadabra'), add_months(Current_Date, 6);\n```\nWhen implementing any complex **CHECK** constraint, test your formula thoroughly first using a **SELECT** statement as shown, especially if you are using unfamiliar operators or functions. You will find this much quicker and easier than having to implement the entire table before testing. \n\n#### Implement and test the following integrity constraints: \n•\tSite region should be Dunedin, Alexandra, or Tekapo.\n\n•\tSite altitude should be constrained according to New Zealand’s geography (from -2 m on the Taieri Plains to 3724 m for Aoraki/Mount Cook, but call it -10 m to 4000 m). \n\n•\tThe institute was founded in 2015, so there should be no samples before the start of that year. \n\n•\tE-mail addresses should contain an ‘@’ symbol. (Extra challenge: ensure that there is only one ‘@’, and that it is not at the start or end.) \n\n•\tExtra challenge: the first two characters of the site code should match the region (e.g. ‘DN’ for Dunedin). \n\n•\tExtra challenge: refactor the region constraint to use a separate lookup table. What advantages would this bring?\n","type":"text/x-markdown","section":"3.4","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/CHECK Constraints","text":"Any additional validation rules for the database can be enforced using the general-purpose **CHECK** constraint type. The body of a **CHECK** constraint is a condition (true/false expression), which will usually centre around the following: \n\n•\tEquality (=) \n•\tInequality (>, \u003C, >=, \u003C=, **BETWEEN**) \n•\tSet membership (**IN**) \n•\tThe string pattern matching operator, **LIKE** (and **NOT LIKE**) \n•\tThe logical operators **AND, OR, NOT** \n\nHere is a typical **CHECK** constraint (but see the lectures for further examples):\n\n \n```plaintext\nconstraint Sale_Shipped check (Shipped in ('T', 'F')), nt,\n```\n### SQL’s Expression Language\nMost SQL dialects have an extensive library of elements that you can use to build database-specific formulae. These can be used in most places a value is expected, including when defining integrity constraints. These language elements are documented in the Oracle SQL Language Reference, under the chapters labelled Pseudocolumns, Operators, Functions, Expressions, and Conditions: \nhttps://www.h2database.com/html/grammar.html \nAnother very good resource for all things SQL \n\nhttps://www.w3schools.com/sql/sql_intro.asp \nTo test a particular formula, write it in the **SELECT** clause of a **SELECT** statement, e.g.\n\n```plaintext\nselect 13 * 49, length('abracadabra'), add_months(Current_Date, 6) from Dual;\n```\nWhen implementing any complex **CHECK** constraint, test your formula thoroughly first using a **SELECT** statement as shown, especially if you are using unfamiliar operators or functions. You will find this much quicker and easier than having to implement the entire table before testing. \n\n#### Implement and test the following integrity constraints: \n•\tSite region should be Dunedin, Alexandra, or Tekapo.\n\n•\tSite altitude should be constrained according to New Zealand’s geography (from -2 m on the Taieri Plains to 3724 m for Aoraki/Mount Cook, but call it -10 m to 4000 m). \n\n•\tThe institute was founded in 2015, so there should be no samples before the start of that year. \n\n•\tE-mail addresses should contain an ‘@’ symbol. (Extra challenge: ensure that there is only one ‘@’, and that it is not at the start or end.) \n\n•\tExtra challenge: the first two characters of the site code should match the region (e.g. ‘DN’ for Dunedin). \n\n•\tExtra challenge: refactor the region constraint to use a separate lookup table. What advantages would this bring?\n","type":"text/x-markdown","section":"3.4","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/03/Database Integrity Constraints","text":"### Main Concepts:\n*\tPrimary key constraints \n*\tForeign key constraints \n*\tCHECK constraints \n*\tColumn vs table constraints \n*\tTable creation order \n*\tConstraint naming \n*\tTesting constraints \n*\tImporting data \n\n### Introduction\nA database with a well-designed structure that is centrally stored and managed is a good start, but there are still some potential problems with your database as it currently stands. For example, what happens if you try to add the same scientist more than once? What happens if you try to record a sample for a site that does not exist? The system should disallow these sorts of invalid data, and the key to enforcing this is *integrity constraints*. \n\nSQL DBMSs support a number of kinds of constraint, which can be built into your database via extra code in your **CREATE TABLE** statements: \n\n•\t**NOT NULL** for mandatory columns (which you looked at last week) \n•\t**PRIMARY KEY** and **UNIQUE** for identity columns \n•\t**FOREIGN KEY** for referential integrity (orphan prevention) \n•\t**CHECK** for miscellaneous “business rules” \n\nYou will be extending the SQL schema definition script you created earlier, so start by making a copy of that file as a backup (just in case!).\n","type":"text/x-markdown","section":"3.0","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Column Values: Mandatory and Default","text":"### Mandatory Column Values\nColumns that are required to have a value (indicated by • in the ERD) should have a NOT NULL constraint applied, following the data type, like so:\n \n \n```plaintext\n\tSale_Date timestamp not null,\n```\n### Default Column Values\nSometimes a column has a sensible default value, which the system can insert automatically if the user does not specify one. These can be a fixed value such as a default bank balance of 0, or a calculation such as using the current date and time for new sales. \n\nTo define a default column value, use the DEFAULT keyword followed by the desired expression. This must appear after the data type for the column, but before any constraints such as NOT NULL.\n\n\n```plaintext\nSale_Date timestamp default current_timestamp not null,\n```\n","type":"text/x-markdown","section":"2.1","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/03/Developing and Testing Your Code","text":"When developing your code, use an incremental approach: test early and often! Run each CREATE TABLE statement by itself (using Ctrl+Enter) and verify that there are no syntax errors. \n\nIf errors are reported, try to read and understand them. If the error isn’t obvious, check for things like missing or extraneous commas, blank lines, semicolons, parentheses, or misspelled keywords. \n\nEnable line numbers in the gutter/left margin of the editor (right-click), as error messages will often refer to the line number. If you can’t see an error there, look at the end of the previous line. You will often see a red underlining as well. \n\nIf you need to make changes to a table, the easiest way is to drop the table, amend your code, and run it again. Use the DROP TABLE statement like so:\n \n```plaintext\ndrop table Scientist;\n```\nYou may wish to keep a DROP TABLE statement for each table at the start of your script for easy use. Enclose them all in a block comment so that they normally have no effect but can be run when required. \n\nTo check that a table is working properly, try inserting data, e.g. \n\n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone)\nvalues (123, 'Hankins', 'Stephanie', 'steph@mail.com', '021 123 456');\n```\nFor testing, use the data from the Excel spreadsheets you already have. When entering dates, convert from the character representation to a true date using the TO_DATE function with a suitable format, e.g.\n```plaintext\nto_date('31/JUL/2017', 'DD/MON/YYYY') \n```\nYou can also convert from an internal date to a formatted string using the TO_CHAR function:\n```plaintext\nto_char(current_date, 'YYYY-MM-DD HH24:MI:SS') \n```\nSee the documentation of format models for more information:\nhttps://www.h2database.com/html/functions.html?highlight=date&search=date#firstFound \n\nTo check that the data has gone in, use the SELECT statement to query the table\n```plaintext\nselect * from Scientist; \n```\nTo insert a default value, either omit the column name and value from your INSERT statement, or use the DEFAULT keyword in place of the value. \n\nTo insert a null (missing value), either omit the column name and value from your INSERT, or use the NULL keyword instead of the value. \n\nAs an alternative to dropping and re-creating the table, you can use the ALTER TABLE statement. This is a little more complicated to use, but has the advantage of leaving the table and its data in place. This would be an essential tool for a database administrator wanting to modify a live database! That said, modifying your CREATE TABLE statements has the advantage of keeping the entire table definition in one place. As you will see next time, the order of your CREATE TABLE statements will matter when you have foreign keys. \n\nMake sure you have saved your SQL source file, and know where to find it again! \n### Further Reading \n•\tPosgreSQL Documentation\n\nhttps://www.postgresql.org/docs/current/ \n\nOr any generic SQL help documents.\n","type":"text/x-markdown","section":"2.2","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Database Integrity Constraints","text":"### Main Concepts:\n\tPrimary key constraints \n\tForeign key constraints \n\tCHECK constraints \n\tColumn vs table constraints \n\tTable creation order \n\tConstraint naming \n\tTesting constraints \n\tImporting data \n\n### Introduction\nA database with a well-designed structure that is centrally stored and managed is a good start, but there are still some potential problems with your database as it currently stands. For example, what happens if you try to add the same scientist more than once? What happens if you try to record a sample for a site that does not exist? The system should disallow these sorts of invalid data, and the key to enforcing this is *integrity constraints*. \n\nSQL DBMSs support a number of kinds of constraint, which can be built into your database via extra code in your **CREATE TABLE** statements: \n\n•\t**NOT NULL** for mandatory columns (which you looked at last week) \n•\t**PRIMARY KEY** and **UNIQUE** for identity columns \n•\t**FOREIGN KEY** for referential integrity (orphan prevention) \n•\t**CHECK** for miscellaneous “business rules” \n\nYou will be extending the SQL schema definition script you created earlier, so start by making a copy of that file in a new folder for this week’s lab and opening the new copy in DBeaver.\n","type":"text/x-markdown","section":"3.0","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/03/Importing Data","text":"You should now have a complete implementation of the first three tables. A useful next step is to import data from the existing spreadsheet into your database tables to populate them. Start by looking at the insert statements below and pay particular attention to the treatment of dates and date formats, and missing values and nulls.\n```plaintext\nINSERT INTO Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone) VALUES ('12346', 'Towel', 'Terry', 'ttowel@wet.co.nz', '+64 21 2561 4789');\n\nINSERT INTO Site (Region, Site_ID, Description, Longitude, Latitude, Catchment_Area, Catchment_Height, Altitude) VALUES ('Alexandra', 'AX1', 'Clutha at Luggate Br.', 169.2805884, -44.72908428, NULL, NULL, NULL);\n\n\nINSERT INTO Sample (Scientist_Num, Site_ID, Recorded_On) VALUES ('12346', 'AX1', to_date('13-Jan-2022 12:40', 'DD-MON-YYYY HH24:MI'));\n```\n\nFurther Reading \n\n•\t**CONSTRAINT** and other Commands: \n\nhttps://www.h2database.com/html/commands.html\n","type":"text/x-markdown","section":"3.5","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Developing and Testing Your Code","text":"When developing your code, use an incremental approach: test early and often! Run each CREATE TABLE statement by itself (using Ctrl+Enter) and verify that there are no syntax errors. \n\nIf errors are reported, try to read and understand them. If the error isn’t obvious, check for things like missing or extraneous commas, blank lines, semicolons, parentheses, or misspelled keywords. \n\nEnable line numbers in the gutter/left margin of the editor (right-click), as error messages will often refer to the line number. If you can’t see an error there, look at the end of the previous line. You will often see a red underlining as well. \n\nIf you need to make changes to a table, the easiest way is to drop the table, amend your code, and run it again. Use the DROP TABLE statement like so:\n \n```plaintext\ndrop table Scientist;\n```\nYou may wish to keep a DROP TABLE statement for each table at the start of your script for easy use. Enclose them all in a block comment so that they normally have no effect but can be run when required. \n\nTo check that a table is working properly, try inserting data, e.g. \n\n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone)\nvalues (123, 'Hankins', 'Stephanie', 'steph@mail.com', '021 123 456');\n```\nFor testing, use the data from the Excel spreadsheets you already have. When entering dates, convert from the character representation to a true date using the TO_DATE function with a suitable format, e.g.\n```plaintext\nto_date('31/JUL/2017', 'DD/MON/YYYY') \n```\nYou can also convert from an internal date to a formatted string using the TO_CHAR function:\n```plaintext\nto_char(current_date, 'YYYY-MM-DD HH24:MI:SS') \n```\nSee the documentation of format models for more information:\nhttps://www.h2database.com/html/functions.html?highlight=date&search=date#firstFound \n\nTo check that the data has gone in, use the SELECT statement to query the table\n```plaintext\nselect * from Scientist; \n```\nTo insert a default value, either omit the column name and value from your INSERT statement, or use the DEFAULT keyword in place of the value. \n\nTo insert a null (missing value), either omit the column name and value from your INSERT, or use the NULL keyword instead of the value. \n\nAs an alternative to dropping and re-creating the table, you can use the ALTER TABLE statement. This is a little more complicated to use, but has the advantage of leaving the table and its data in place. This would be an essential tool for a database administrator wanting to modify a live database! That said, modifying your CREATE TABLE statements has the advantage of keeping the entire table definition in one place. As you will see next time, the order of your CREATE TABLE statements will matter when you have foreign keys. \n\nMake sure you have saved your SQL source file, and know where to find it again! \n### Further Reading -- need updating links...\n•\tH2 database home \nhttps://www.h2database.com/html/main.html\nhttps://www.h2database.com/html/commands.html#alter_table_add\n\n","type":"text/x-markdown","section":"2.2","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/03/Scenario and Recap","text":"Today’s lab continues from last time, taking the ERD for the water quality scenario and beginning to implement it as a real database. The database approach should avoid many of the problems you encountered earlier with ad-hoc management of data, such as duplicated or missing data, inconsistencies in how values are recorded, and fragmented “islands of information”. \nUsing sample data (Excel spreadsheets and a sample form), information from members of the organisation, and your wits, you analysed the business requirements and designed the ERD shown in the figure. \nThe next step is to map the ERD to a set of SQL CREATE TABLE statements. \n**Note** that details of the Measurement and Measurement Type entities are missing, as these will be completed in your assessed lab work in a later lab. \nThis lab focuses on Scientist, Sample, and Site, and getting the structure, naming, and data types right. We will leave integrity constraints (primary and foreign keys, and additional business rules) to begin with, apart from the basic NOT NULL. \n{{/Labs/03/Images/ERD}}","type":"text/x-markdown","section":"1.1","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Foreign Keys","text":"Foreign keys enforce referential integrity: they ensure that each row has a valid parent row (in this sense, they prevent “orphan” rows). A foreign key is required for each relationship identified on the ERD, and the foreign key will appear on the “many” side, and reference a candidate key (usually the primary key) on the “one” side. \n\nA foreign key is a set of attributes (columns in SQL), and must match the parent key in both number of elements and data types. The column names can differ, but should normally match. You can satisfy both of these by copying the parent column definitions and pasting them into the child table (but check carefully whether the foreign key attributes should have **NOT NULL** constraints applied). We recommend that you declare foreign keys in SQL using named table-level constraints, like so: \n\n \n```plaintext\nconstraint Enrolment_Student_FK foreign key (Student_ID)\n\t\treferences Student,\n```\nIf the column names differ, identify the corresponding columns in the parent table like so:\n```plaintext\nreferences Student (Student_ID), \n```\nThe foreign keys in your schema will dictate the order of your **CREATE TABLE** statements. Since a foreign key always references a candidate key from the parent table, that parent table must exist first. For example, in a student records system, you would have to create the Paper and Student tables before you could create the Enrolment table. If you imagine moving the crow’s foot signifying the “many” side along the relationship, it will resemble an arrow head pointing at the table that must exist first. You might even like to number the tables on your ERD as a guide to their order, for example: \nIMAGE GOES HERE Tables.jpg\n{{/Labs/03/Images/Tables}} \n\nSimilarly, when entering data into your tables, you must enter the parent rows first, e.g. you would have to record a paper and a student before you could enter an enrolment. **DELETE** and **DROP TABLE** statements would use the reverse order. \n\nIf a foreign key references a composite candidate key, the foreign key will also be composite. \n\nWhich of Scientist, Sample, and Site will have foreign keys?\n\t\nWhat columns would make up each foreign key?\n\t\n\t\nWhich foreign keys would be mandatory (NOT NULL)?\n\t\nIn what order would the tables need to be created?\n\t\nModify your **CREATE TABLE** statements to implement these, and test that they are correctly enforced.\n\n","type":"text/x-markdown","section":"3.3","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/03/Task : Implementing the ERD","text":"Now that you have details for the main entities, you can begin writing SQL CREATE TABLE statements, but first, fill out the relevant parts of the worksheet supplied in the Lab. \n### Creating a Table\nEach entity type in the ERD will become a table in the database. Attributes will become columns. Each column definition within the CREATE TABLE statement begins with the column name and data type. In SQL, lists (such as the columns within a table) are written in parentheses, with commas separating the items, e.g. “(a, b, c)”, so don’t forget the comma after each column (except for the last one). \nHere’s an example of a (very minimal!) CREATE TABLE statement that you can use as a guide for writing your own:\n \n \n```plaintext\ncreate table Employee\n(\n\tEmployee_ID\tvarchar2(6),\n\tFirst_Name\tvarchar2(20) not null,\n\tLast_Name\tvarchar2(25) not null,\n\tHire_Date\tdate default sysdate,\n\tSalary\t\tnumber(8,2),\n\tCommission_Percent\tnumber(2,2) default 0\n);\n\n```\nThis example has deliberately left out any primary and foreign key constraints, as well as additional constraints implementing business rules such as the salary being greater than 0. We will look at these shortly. \n### Table and Column Names\nGenerally, you should base your SQL names (identifiers) on the specification provided by the ERD. However, SQL identifiers cannot normally contain spaces, which are usually replaced by the underscore character, “_”. There are a few other prohibited characters, and they cannot start with a digit. Identifiers should be descriptive but not too long. \n\nIdentifiers must also be unique, of course (within the scope of the table, for column names, or across the entire database for table and constraint names). \n\nSQL Developer will apply syntax-highlighting to keywords, but note that not all keywords are reserved words; that is, just because an identifier is highlighted does not necessarily mean you can’t use it as an identifier. SAMPLE is an example of this.\n \n### Column Data Types\nWhen defining a column, you must choose a suitable data type. Your main choices are: \n\n•\tCHAR for fixed-length character strings (default length = 1), e.g. CHAR(3). \n \n•\tVARCHAR for variable length strings (size limit required), e.g. VARCHAR(50). H2 will only store the characters needed, so be generous with the size limit. \n\n•\tNUMERIC (or equivalently DECIMAL, or NUMBER in H2) for integers and decimal numbers. Specify a precision and scale to control the number of significant figures and decimal places respectively, for example NUMERIC(2) for integers up to 99, or NUMERIC(5,2) for decimal numbers up to 999.99. \n\n•\tDATE or TIMESTAMP for date/time data (with optional time zone). These do not require a size. \n\n•\tINTERVAL for relative time (durations), such as for lap times in a race, or the playing time of music tracks. \n\n•\tBLOB or CLOB for binary or character large objects (such as PDFs, video, and Web pages). \n\nFor comprehensive information on the data types provided by SQL, as well as further useful information about expressing and comparing values, consult the documentation:\n\nhttps://www.postgresql.org/docs/current/datatype.html\n\n### Questions\nWhat criteria would you use to choose a data type for a column? \n\nWhy might it be unwise to use a numeric type for storing phone numbers?\n\n\n\n","type":"text/x-markdown","section":"2.0","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Getting Set Up","text":"The first task will be to connect to a PostgreSQL database using \u003C\u003ClinkFromPath path:\"/Reference/DBeaver/DBeaver\" text :\"DBeaver\">> DBMS \n \n","type":"text/x-markdown","section":"1.2","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/04/Complete the Water Sample System","text":"### Complete the Measurement_Type and Measurement Tables\n \n{{/Labs/03/Images/ERD_full.svg}}\n\n**Submit your impelemtation sql script to Blackboard.**","type":"text/x-markdown","section":"2.1","tags":"Contents hidden","revision":"0","bag":"default"},
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","type":"image/jpeg","tags":"image 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+{"title":"$:/Labs/04/Delete Data","text":"**CAUTION! It’s very easy to delete more data than you intended if you’re not careful. Make sure you save your INSERT statements from Task 1.2 so that you can re-create any data that you delete during this task.** \n\nSometimes you also need to remove data from a table. You can do this using SQL’s DELETE statement, which has the following general form:\n\n```plaintext\ndelete from \u003Ctable name>\n[where \u003Ccondition>];\n```\nFor example, the following will delete the Scientist with the ID 12345: \n```plaintext\ndelete from Scientist\nwhere Scientist_Num = '12345';\n```\n\nCheck the contents of your Scientist table, run the above DELETE statement, then check the table contents again. (Remember that you may need to modify column names and values to be compatible with your table.) Have the contents of the table changed, and does this match what you expected to happen? If not, why not? \n \n---\nThe WHERE clause is absolutely critical for most delete operations. Only rows that match the specified criteria will be deleted. What will happen if you run the statement delete from Scientist?\n\n---\n\nDeleting data isn’t always this straightforward, though. Run the three INSERT statements below, modifying column names and values as necessary to match your tables. (**Hint**: To run multiple statements, select all of them in the SQL worksheet, then click the Run Script button, which is third down in the toolbar, and looks like a document with a curled edges. The selected statements will run in sequence.)\n\n\n\n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone)\nvalues ('54321', 'Jones', 'Heather', 'hjones@wet.co.nz', '+64 27 297 1619');\n\ninsert into Site (Site_ID, Region, Description, Latitude, Longitude,\n Catchment_Area, Catchment_Height, Altitude)\nvalues ('DN20', 'Dunedin', 'Leith at Clyde St. Br.', -45.867093, 170.516081,\n null, null, null);\n\ninsert into Sample (Scientist_Num, Site_ID, Recorded_On, Comments)\nvalues ('54321', 'DN20', to_date('25/11/2016', 'DD/MM/YYYY'), null);\n\n```\nNow run the following statement:\n```plaintext\ndelete from Site\nwhere Site_ID = 'DN20';\n```\nWhat happens, and why?\n\n\n---\nHow can you work around this?\n\n---\nAfter all that inserting and deleting, your data may have become a little messy. It wouldn’t hurt at this point to delete everything from all three tables and rebuild the data from scratch using the INSERT statements that you saved earlier. (You did save them, didn’t you? ) Just delete the data, don’t drop the tables.","type":"text/x-markdown","section":"1.3","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/03/Importing Data","text":"You should now have a complete implementation of the first three tables. A useful next step is to import data from the existing spreadsheet into your database tables to populate them. Refer to the instructional video on Blackboard on how to do this, and pay particular attention to the treatment of dates and date formats, and missing values and nulls. \n\nFurther Reading \n\n•\t**CONSTRAINT** and other Commands: \n\nhttps://www.h2database.com/html/commands.html\n","type":"text/x-markdown","section":"3.5","tags":"Contents hidden","revision":"0","bag":"default"},
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-{"title":"$:/Labs/03/Lab 3: Building a Relational Database","tags":"lab toc hidden","type":"text/vnd.tiddlywiki","text":"\u003Cdiv class=\"no-print\">Click the \u003C\u003Cmenu \"Open All\">> button below to open all of the sections for this lab.\u003C/div>\n\n!! Contents\n\n\u003C$set name=\"path\" value=\"/Labs/03/\">\n\n\u003C$macrocall $name=\"contents-tree\" path=\u003C\u003Cpath>> />\n\u003Cdiv class=\"no-print\">\u003C$macrocall $name=\"openByPath\" path=\u003C\u003Cpath>> />\u003C/div>\n\n\u003C/$set>","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/03/Part 1: Building a Relational Database","text":"# Introduction \nOver the next few labs, you will learn how to create and use a database using the SQL language a PostgreSQL database and the DBeaver database management system. Databases form the foundation of most information systems, and they provide a powerful and consistent way to organise and manage large volumes of shared data.\n\n### Today’s Learning Outcomes\n* Understanding ERDs\n* Connecting to PosgreSQL database using DBeaver DBMS\n* Create a blank database\n* SQL CREATE TABLE statements\n* SQL data types\n* Default Column Values\n* Mandatory columns\n* Populate and query tables\n\n\n","type":"text/x-markdown","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/03/Running Code in a DBMS","text":"SQL is a text-based command language for database work. Each SQL statement instructs the database server to perform some task, such as creating a new table or deleting a row. SQL statements begin with one or two keywords that identify the action to be performed, and end with a semicolon (“;”). \nOther clauses and expressions can appear in between.\nStatements can span lines, and all whitespace is equivalent. SQL is case-insensitive, except for character strings, and identifiers written inside double-quotation marks. \nYou can annotate your code with comments, which will be ignored by the system. Both line and block comments are supported:\n \n \n```plaintext\n-- This is a single-line comment. \n\n/* This is\n a multi-line\n comment. */ \n``` \nThe code you write has no effect until you run it. For normal development and testing, you should run only the current statement (the one nearest the text cursor), by typing Ctrl+Enter. You can also execute a group of statements by selecting them and pressing the F5 key. To run the entire file as a script, press F5 with nothing selected. \n\nNOTE: The code you see in the editor in front of you does not necessarily match what is in the database. Use the Database Navigator panel at the left to see the current state of the database (remember to right click and refresh to get an updated view)). You should also save a copy of your SQL source code for future reference (and make sure to save often!). \n\nNOTE: when asked to write an SQL script, you must test it thoroughly to ensure that it runs without errors as a batch. Pay particular attention to the order of the statements, and don’t assume that the script will run just because you have tested the statements individually!\n","type":"text/x-markdown","section":"1.4","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/03/Scenario and Recap","text":"Today’s lab continues from last time, taking the ERD for the water quality scenario and beginning to implement it as a real database. The database approach should avoid many of the problems you encountered earlier with ad-hoc management of data, such as duplicated or missing data, inconsistencies in how values are recorded, and fragmented “islands of information”. \nUsing sample data (Excel spreadsheets and a sample form), information from members of the organisation, and your wits, you analysed the business requirements and designed the ERD shown in the figure. \nThe next step is to map the ERD to a set of SQL CREATE TABLE statements. \n**Note** that details of the Measurement and Measurement Type entities are missing, as these will be completed in your assignment work. \nThis lab focuses on Scientist, Sample, and Site, and getting the structure, naming, and data types right. We will leave integrity constraints (primary and foreign keys, and additional business rules) for next time, apart from the basic NOT NULL. \n{{/Labs/03/Images/ERD}}","type":"text/x-markdown","section":"1.1","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/03/Table and Column Constraints","text":"SQL provides two syntactic forms for defining constraints: column-level (or “inline”) and table-level (or “out-of-line”). The column-level syntax bundles the constraint as part of the column definition, but has the limitation that it can only refer to that one column. The **NOT NULL** constraints you used last time were unnamed, column-level constraints. Here is a column-level primary key constraint:\n \n```plaintext\nScientist_Num varchar2(6) primary key,\n```\nThe table-level syntax puts the constraint definition at the end of the **CREATE TABLE** statement, at the same level of nesting as the other columns. Table constraints can apply to multiple columns (within the same table). We recommend that you define all primary and foreign keys as table-level constraints, for clarity and consistency. \n\nSome SQL dialects also support schema-level constraints, which can involve columns from multiple tables. \n\n### Constraint Names\nEvery constraint has a name, which must be unique within the schema. Constraint names are helpful to developers and administrators, and also to end-users, who may see them in error messages. The system does not try to interpret constraint names, however. \n\nIf you do not specify a name for a constraint, the system will generate one automatically. Such names will probably not be very meaningful (e.g. “SYS_C0023877”), so this is not considered good practice. Instead, use the **CONSTRAINT** keyword, followed by a concise but descriptive name, and then the constraint definition, like so:\n\n\n```plaintext\nconstraint Scientist_PK primary key (Scientist_Num) \n```\nA useful convention is to begin the constraint name with the table name, so that the table can be easily identified, and constraints for the same table will sort together. Include the column name(s) if appropriate (usually not for primary and foreign keys), and a brief indication of the purpose of the constraint (e.g. PK for primary key, FK for foreign key, or Range, Valid, or similar for other types). \n\nIf a constraint name is too long, you will see an error. Sensibly abbreviate the name and try again. \n\nThe system only cares about the constraint definition (the last part), and does not try to interpret the name. \n\nYou may choose not to name your NOT NULL constraints, however, as they are very common and error reports a relatively helpful and specific error message for these.\n### Testing Constraints\n\nJust because your code runs without errors does not mean it is correct! When developing any database integrity constraint, you should design some test cases and make sure that they are treated correctly. You should check that invalid data are rejected, but also that valid data are not unintentionally rejected. Test especially around “edge cases”, such as values near the boundary between valid and invalid. For primary key constraints, you should test both the unique and not null properties. \n\nNormally your test cases will be **INSERT** statements, though you can test **UPDATE** and **DELETE** operations as well. When an operation fails, check the error message carefully to make sure that it failed in the way you expected, and not for some other reason (e.g. missing punctuation).\n\n","type":"text/x-markdown","section":"3.1","tags":"Contents hidden","revision":"0","bag":"default"},
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-{"title":"$:/Labs/03/Task : Implementing the ERD","text":"Now that you have details for the main entities, you can begin writing SQL CREATE TABLE statements, but first, fill out the relevant parts of the worksheet supplied in the Lab. \n### Creating a Table\nEach entity type in the ERD will become a table in the database. Attributes will become columns. Each column definition within the CREATE TABLE statement begins with the column name and data type. In SQL, lists (such as the columns within a table) are written in parentheses, with commas separating the items, e.g. “(a, b, c)”, so don’t forget the comma after each column (except for the last one). \nHere’s an example of a (very minimal!) CREATE TABLE statement that you can use as a guide for writing your own:\n \n \n```plaintext\ncreate table Employee\n(\n\tEmployee_ID\tvarchar2(6),\n\tFirst_Name\tvarchar2(20) not null,\n\tLast_Name\tvarchar2(25) not null,\n\tHire_Date\tdate default sysdate,\n\tSalary\t\tnumber(8,2),\n\tCommission_Percent\tnumber(2,2) default 0\n);\n\n```\nThis example has deliberately left out any primary and foreign key constraints, as well as additional constraints implementing business rules such as the salary being greater than 0. We will look at these shortly. \n### Table and Column Names\nGenerally, you should base your SQL names (identifiers) on the specification provided by the ERD. However, SQL identifiers cannot normally contain spaces, which are usually replaced by the underscore character, “_”. There are a few other prohibited characters, and they cannot start with a digit. Identifiers should be descriptive but not too long. \n\nIdentifiers must also be unique, of course (within the scope of the table, for column names, or across the entire database for table and constraint names). \n\nSQL Developer will apply syntax-highlighting to keywords, but note that not all keywords are reserved words; that is, just because an identifier is highlighted does not necessarily mean you can’t use it as an identifier. SAMPLE is an example of this.\n \n### Column Data Types\nWhen defining a column, you must choose a suitable data type. Your main choices are: \n\n•\tCHAR for fixed-length character strings (default length = 1), e.g. CHAR(3). \n \n•\tVARCHAR for variable length strings (size limit required), e.g. VARCHAR(50). H2 will only store the characters needed, so be generous with the size limit. \n\n•\tNUMERIC (or equivalently DECIMAL, or NUMBER in H2) for integers and decimal numbers. Specify a precision and scale to control the number of significant figures and decimal places respectively, for example NUMERIC(2) for integers up to 99, or NUMERIC(5,2) for decimal numbers up to 999.99. \n\n•\tDATE or TIMESTAMP for date/time data (with optional time zone). These do not require a size. \n\n•\tINTERVAL for relative time (durations), such as for lap times in a race, or the playing time of music tracks. \n\n•\tBLOB or CLOB for binary or character large objects (such as PDFs, video, and Web pages). \n\nFor comprehensive information on the data types provided by SQL, as well as further useful information about expressing and comparing values, consult the documentation:\n\nLink required here - maybe w3 ??\n\n### Questions\nWhat criteria would you use to choose a data type for a column? \n\nWhy might it be unwise to use a numeric type for storing phone numbers?\n\n\n\n","type":"text/x-markdown","section":"2.0","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/03/Test your connection","text":"Before we start the task for today we will test that we have our set up correct. \nWrite a simple create table statement. \n```plaintext\nCREATE TABLE test( \nUserName varchar(10) \n); \n``` \nControl Enter will run the statement or use the buttons on the left. \nRight click on the gutter between the statements and controls and select line numbers, this can be helpful to find errors. \nCheck the Navigator window to see if it created ok. No? \nRight click on the WaterSample database in the navigator and go refresh. \nCan you see table test now? \nTry insert some data. \n```plaintext \nINSERT INTO test (UserName) values ('Dr Dick');\n```\nControl Enter to run the insert statament. \nNow we test that it worked by interrogating the database with a SELECT statement. \n```plaintext \nSELECT * FROM test; \n```\nto check it is there. \n```plaintext \nDROP TABLE test;\n```\nTest completed, clear out the the test table and we are ready to start work.\n\n\n","type":"text/x-markdown","section":"1.3","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/04/Continue work on second assignment and prepare for next lab","text":"You should now have data in three of the five tables, and you should be getting close to completing the CREATE TABLE statements for the two remaining tables (Measurement and Measurement Type). Once you’ve created these two tables, use the skills you learned in this lab to populate them with data as well. Data for the Measurement table are in the CSV file, but you’ll need to think carefully about how to handle outlier values. You’ll need to generate appropriate data for the Measurement Type table based on the types of measurement shown on the sample data form from Lab 03. \n\nIn the next two labs, you’ll learn how to retrieve data from a database. If you want to get a head start, you can experiment with SQL’s SELECT statement. \n \n Here are some useful links:\n\n•\tOracle’s SQL Language Reference \nhttps://docs.oracle.com/cd/E11882_01/server.112/e41084/toc.htm \n•\tDocumentation for Oracle’s SELECT statement (caution: extremely detailed!) \nhttps://docs.oracle.com/cd/E11882_01/server.112/e41084/statements_10002.htm#SQLRF01702 \n•\tAn online SQL tutorial that’s a bit more lightweight and interactive \nhttps://www.w3schools.com/sql/\n\n","type":"text/x-markdown","section":"1.4","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/04/Delete Data","text":"**CAUTION! It’s very easy to delete more data than you intended if you’re not careful. Make sure you save your INSERT statements from Task 1.2 so that you can re-create any data that you delete during this task.** \n\nSometimes you also need to remove data from a table. You can do this using SQL’s DELETE statement, which has the following general form:\n\n```plaintext\ndelete from \u003Ctable name>\n[where \u003Ccondition>];\n```\nFor example, the following will delete the Scientist with the ID 12345: \n```plaintext\ndelete from Scientist\nwhere Scientist_Num = '12345';\n```\n\nCheck the contents of your Scientist table, run the above DELETE statement, then check the table contents again. (Remember that you may need to modify column names and values to be compatible with your table.) Have the contents of the table changed, and does this match what you expected to happen? If not, why not? \n \n---\nThe WHERE clause is absolutely critical for most delete operations. Only rows that match the specified criteria will be deleted. What will happen if you run the statement delete from Scientist?\n\n---\n\nDeleting data isn’t always this straightforward, though. Run the three INSERT statements below, modifying column names and values as necessary to match your tables. (**Hint**: To run multiple statements, select all of them in the SQL worksheet, then click the Run Script button, which is second from the left in the SQL Worksheet toolbar, and looks like a document with a green triangle on top of it. The selected statements will run in sequence.)\n\n\n\n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone)\nvalues ('54321', 'Jones', 'Heather', 'hjones@wet.co.nz', '+64 27 297 1619');\n\ninsert into Site (Site_ID, Region, Description, Latitude, Longitude,\n Catchment_Area, Catchment_Height, Altitude)\nvalues ('DN20', 'Dunedin', 'Leith at Clyde St. Br.', -45.867093, 170.516081,\n null, null, null);\n\ninsert into Sample (Scientist_Num, Site_ID, Recorded_On, Comments)\nvalues ('54321', 'DN20', to_date('25/11/2016', 'DD/MM/YYYY'), null);\n\n```\nNow run the following statement:\n```plaintext\ndelete from Site\nwhere Site_ID = 'DN20';\n```\nWhat happens, and why?\n\n\n---\nHow can you work around this?\n\n---\nAfter all that inserting and deleting, your data may have become a little messy. It wouldn’t hurt at this point to delete everything from all three tables and rebuild the data from scratch using the INSERT statements that you saved earlier. (You did save them, didn’t you? ) Just delete the data, don’t drop the tables.","type":"text/x-markdown","section":"1.3","tags":"Contents hidden","revision":"0","bag":"default"},
-
-{"title":"$:/Labs/04/Insert Data","text":"Before you can do anything else, you need to get some data into your tables. This is done using SQL’s INSERT statement, which has the following general form:\n```plaintext\ninsert into \u003Ctable name> [(\u003Clist of column names>)]\nvalues (\u003Clist of value expressions>);\n```\nThe list of column names after the table name is optional, but it’s generally good practice to include it. Why is this good practice? (Hint: Think about what could go wrong if you didn’t include the column names.) \n \n---\nCan you think of other reasons why you might want to explicitly list the column names? (Hint: Look at the columns in the Sample and Site tables.)\n\n---\n\nWhy does it say “list of value expressions” rather than just “list of values” above? What are the advantages of this?\n\n---\n### Scientist table\nFirst, you’ll load some data into the Scientist table. For example, the following will insert a new Scientist row: \n\n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone)\nvalues ('12345', 'Smith', 'Jane', 'jsmith@wet.co.nz', '+64 22 0191 1468');\n```\nOpen DBeaver, connect to your PostgreSQL schema, and run the above INSERT statement on your Scientist table. \n\n**You may need to modify the column names in the INSERT statement to match your table. You may also need to modify the values to be compatible with the data types in your table, e.g., the values above may be longer than what you’ve allowed for, or you may need to remove the quotes from values that you stored as numbers rather than text (e.g., Scientist_Num). Ask for advice if you’re unsure.** \n\nIf all goes well, you’ll see “1 row inserted.” appear in the Script Output panel at the bottom of the window. \nWhat happens if you try to insert the same row again, and why? (**Hint**: Just run the INSERT statement again. Make sure you fully read the error message that appears in the Script Output panel.) \n\n---\nChange the data in the INSERT statement to correct the reported issue and try running it again. Did it work this time? If not, why not? \n\n---\nContinue to correct the data in the INSERT statement until you’re able to insert a second row into the Scientist table. Check that the data are actually there by running the statement\n```plaintext \nselect * from Scientist;. \n``` \n\nYou should see two rows appear in the Query Result panel at the bottom of the window.\n\t\nInvent some more Scientist data and insert them into the table. Five to ten rows will be plenty. Try to make the data at least somewhat realistic, e.g., don’t just use the same name or mobile number for all rows. Make sure you save a copy of your INSERT statements for future reference (either copy and paste them into a text document, or save the SQL Worksheet contents to a file).\t\n### Site table\nYou had to invent your own data for the Scientist table, but you already have data for Site table, in the first eight columns of the water quality CSV file from Lab 06. Open it in Excel and scroll down until you find some data in the CatchmentArea, CatchmentHeight, and Altitude columns. Create a few INSERT statements by copying and pasting the corresponding values from the CSV file. Include some rows that have values for CatchmentArea, CatchmentHeight, and Altitude, and some that don’t. For those that don’t, use NULL (without quotes) instead of a value. Make sure that each row is for a different region. Here are a couple of examples to get you started: \n```plaintext\ninsert into Site (Site_ID, Region, Description, Latitude, Longitude,\n Catchment_Area, Catchment_Height, Altitude)\nvalues ('TK3', 'Tekapo', 'Opuha at Skipton Br.', -44.07888926, 170.9797435,\n 458, 1020, 238);\n\ninsert into Site (Site_ID, Region, Description, Latitude, Longitude,\n Catchment_Area, Catchment_Height, Altitude)\nvalues ('AX1', 'Alexandra', 'Clutha at Luggate Br.', -44.72911152, 169.2805516,\n null, null, null);\n```\n\nWriting individual INSERT statements will clearly get quite tedious if there are a lot of rows to insert. For large amounts of data, you could use something to generate INSERT statements for you, but the best option is to use a bulk data loading tool that can directly import formats like CSV. \n\nIs there a way to get Excel to generate INSERT statements for you, which you can then paste into SQL Developer? \n\n---\nDoes DBeaver provide any way to import data in bulk from a disk file? \n\n---\nThere are about 20 sites listed in the CSV data. Load the data for all of these into the Site table using one of the three methods mentioned above (manually-written INSERTs, generated INSERTs, or bulk import). \n### Sample table\nFinally, you need to load the relevant CSV data into the Sample table. Here are some tips: \n\n•\tThe relevant columns in the CSV data are SiteID and RecordedOn. The latter contains a date/time value. To get this into Oracle, you’ll need to convert the value into an Oracle DATE using the TO_DATE function, e.g.,: to_date('6/01/2015 8:45', 'DD/MM/YYYY HH:MI'). \n\n•\tThe CSV data specifies the site ID for each sample, but not the scientist. You’ll need to assign this yourself, drawing on the Scientist data you created. \n\n•\tYou’ll need to generate a sample ID value. You could just make this up yourself, but better options include using Excel to generate the IDs, or using a sequence (if the sample ID is stored as a NUMBER). \n\n•\tThere are no comments for any of the samples in the CSV data. For now, just leave the Comments column null. (Hint: If a column is allowed to be null, you can omit it from the list of column names in the INSERT statement, and the database will automatically insert a null into that column if it doesn’t have a default value.) \n\nWhy did we ask you to load data into the Scientist and Site tables before loading data into the Sample table? What would have happened if you tried to insert into Sample first? \n\n---\n\n\n","type":"text/x-markdown","section":"1.2","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/04/Insert Data","text":"Before you can do anything else, you need to get some data into your tables. This is done using SQL’s INSERT statement, which has the following general form:\n```plaintext\ninsert into \u003Ctable name> [(\u003Clist of column names>)]\nvalues (\u003Clist of value expressions>);\n```\nThe list of column names after the table name is optional, but it’s generally good practice to include it. Why is this good practice? (Hint: Think about what could go wrong if you didn’t include the column names.) \n \n---\nCan you think of other reasons why you might want to explicitly list the column names? (Hint: Look at the columns in the Sample and Site tables.)\n\n---\n\nWhy does it say “list of value expressions” rather than just “list of values” above? What are the advantages of this?\n\n---\n### Scientist table\nFirst, you’ll load some data into the Scientist table. For example, the following will insert a new Scientist row: \n\n```plaintext\ninsert into Scientist (Scientist_Num, Surname, Other_Names, Email, Mobile_Phone)\nvalues ('12345', 'Smith', 'Jane', 'jsmith@wet.co.nz', '+64 22 0191 1468');\n```\nOpen DBeaver, connect to your PostgreSQL schema, and run the above INSERT statement on your Scientist table. \n\n**You may need to modify the column names in the INSERT statement to match your table. You may also need to modify the values to be compatible with the data types in your table, e.g., the values above may be longer than what you’ve allowed for, or you may need to remove the quotes from values that you stored as numbers rather than text (e.g., Scientist_Num). Ask for advice if you’re unsure.** \n\nIf all goes well, you’ll see “1 row inserted.” appear in the Script Output panel at the bottom of the window. \nWhat happens if you try to insert the same row again, and why? (**Hint**: Just run the INSERT statement again. Make sure you fully read the error message that appears in the Script Output panel.) \n\n---\nChange the data in the INSERT statement to correct the reported issue and try running it again. Did it work this time? If not, why not? \n\n---\nContinue to correct the data in the INSERT statement until you’re able to insert a second row into the Scientist table. Check that the data are actually there by running the statement\n```plaintext \nselect * from Scientist;. \n``` \n\nYou should see two rows appear in the Query Result panel at the bottom of the window.\n\t\nInvent some more Scientist data and insert them into the table. Five to ten rows will be plenty. Try to make the data at least somewhat realistic, e.g., don’t just use the same name or mobile number for all rows. Make sure you save a copy of your INSERT statements for future reference (either copy and paste them into a text document, or save the SQL Worksheet contents to a file).\t\n### Site table\nYou had to invent your own data for the Scientist table, but you already have data for Site table, in the first eight columns of the water quality CSV file from Lab 02. Open it in Excel and scroll down until you find some data in the CatchmentArea, CatchmentHeight, and Altitude columns. Create a few INSERT statements by copying and pasting the corresponding values from the CSV file. Include some rows that have values for CatchmentArea, CatchmentHeight, and Altitude, and some that don’t. For those that don’t, use NULL (without quotes) instead of a value. Make sure that each row is for a different region. Here are a couple of examples to get you started: \n```plaintext\ninsert into Site (Site_ID, Region, Description, Latitude, Longitude,\n Catchment_Area, Catchment_Height, Altitude)\nvalues ('TK3', 'Tekapo', 'Opuha at Skipton Br.', -44.07888926, 170.9797435,\n 458, 1020, 238);\n\ninsert into Site (Site_ID, Region, Description, Latitude, Longitude,\n Catchment_Area, Catchment_Height, Altitude)\nvalues ('AX1', 'Alexandra', 'Clutha at Luggate Br.', -44.72911152, 169.2805516,\n null, null, null);\n```\n\nWriting individual INSERT statements will clearly get quite tedious if there are a lot of rows to insert. For large amounts of data, you could use something to generate INSERT statements for you, but the best option is to use a bulk data loading tool that can directly import formats like CSV. \n\nIs there a way to get Excel to generate INSERT statements for you, which you can then paste into SQL Developer? \n\n---\nDoes DBeaver provide any way to import data in bulk from a disk file? \n\n---\nThere are about 20 sites listed in the CSV data. Load the data for all of these into the Site table using one of the three methods mentioned above (manually-written INSERTs, generated INSERTs, or bulk import). \n### Sample table\nFinally, you need to load the relevant CSV data into the Sample table. Here are some tips: \n\n•\tThe relevant columns in the CSV data are SiteID and RecordedOn. The latter contains a date/time value. To get this into your database, you’ll need to convert the value into a DATE using the TO_DATE function, e.g.,: to_date('6/01/2015 8:45', 'DD/MM/YYYY HH:MI'). \n\n•\tThe CSV data specifies the site ID for each sample, but not the scientist. You’ll need to assign this yourself, drawing on the Scientist data you created. \n\n•\tYou’ll need to generate a sample ID value. You could just make this up yourself, but better options include using Excel to generate the IDs, or using a sequence (if the sample ID is stored as a NUMBER). \n\n•\tThere are no comments for any of the samples in the CSV data. For now, just leave the Comments column null. (Hint: If a column is allowed to be null, you can omit it from the list of column names in the INSERT statement, and the database will automatically insert a null into that column if it doesn’t have a default value.) \n\nWhy did we ask you to load data into the Scientist and Site tables before loading data into the Sample table? What would have happened if you tried to insert into Sample first? \n\n---\n\n\n","type":"text/x-markdown","section":"1.2","tags":"Contents hidden","revision":"0","bag":"default"},
{"title":"$:/Labs/04/Lab 4: Inserting and Deleting Data","tags":"lab toc hidden","type":"text/vnd.tiddlywiki","text":"\u003Cdiv class=\"no-print\">Click the \u003C\u003Cmenu \"Open All\">> button below to open all of the sections for this lab.\u003C/div>\n\n!! Contents\n\n\u003C$set name=\"path\" value=\"/Labs/04/\">\n\n\u003C$macrocall $name=\"contents-tree\" path=\u003C\u003Cpath>> />\n\u003Cdiv class=\"no-print\">\u003C$macrocall $name=\"openByPath\" path=\u003C\u003Cpath>> />\u003C/div>\n\n\u003C/$set>","revision":"0","bag":"default"},
-{"title":"$:/Labs/04/Scenario and Setup","text":"Over the next few weeks, you’ll explore ways to create databases to store and manipulate data in a consistent manner. This week, we’ll look at how to manipulate data in a database, focusing on the Create (SQL INSERT) and Delete (SQL DELETE) data manipulation operations. \n\nAll the work that you do today contributes towards completing the second assignment. \n\nIt’s in your interest to make notes in this lab, as the notes will help you with the required components of the assignment.\n### Task 0: Scenario and setup\nToday’s lab continues the water quality scenario from where you left off last time. You’ll need to complete Lab 03 before you can complete the tasks in this lab. You created tables corresponding to the Scientist, Sample, and Site entities in the following ERD:\n \n{{/Labs/03/Images/ERD}}\n\nIf you haven’t already done so, you’ll complete the details for the Measurement and Measurement Type tables as part of your work for the second assignment. This lab focuses on the Scientist, Sample, and Site tables. \n\nYou’ll also need the water quality CSV data file and the sample data form from Lab 04 on Blackboard. Download copies of these if you don’t have them already.\n","type":"text/x-markdown","section":"1.1","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/04/Prepare for next lab","text":"You should now have data in three of the five tables, and you should be getting close to completing the CREATE TABLE statements for the two remaining tables (Measurement and Measurement Type). Once you’ve created these two tables, use the skills you learned in this lab to populate them with data as well. Data for the Measurement table are in the CSV file, but you’ll need to think carefully about how to handle outlier values. You’ll need to generate appropriate data for the Measurement Type table based on the types of measurement shown on the sample data form from Lab 03. \n\nIn the next two labs, you’ll learn how to retrieve data from a database. If you want to get a head start, you can experiment with SQL’s SELECT statement. \n\n#### Submit your Schema.sql file via Blackboard\nMake sure it runs as a full script from start to finish without errors before you submit!\nYou will need **DROP TABLE** statements at the top ***in the correct order***.\n \n Here are some useful links:\n\n•\tOracle’s SQL Language Reference \nhttps://docs.oracle.com/cd/E11882_01/server.112/e41084/toc.htm \n•\tDocumentation for Oracle’s SELECT statement (caution: extremely detailed!) \nhttps://docs.oracle.com/cd/E11882_01/server.112/e41084/statements_10002.htm#SQLRF01702 \n•\tAn online SQL tutorial that’s a bit more lightweight and interactive \nhttps://www.w3schools.com/sql/\n\n","type":"text/x-markdown","section":"1.4","tags":"Contents hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/04/Scenario and Setup","text":"Over the next few weeks, you’ll explore ways to create databases to store and manipulate data in a consistent manner. This week, we’ll look at how to manipulate data in a database, focusing on the Create (SQL INSERT) and Delete (SQL DELETE) data manipulation operations. \n\n\n\nIt’s in your interest to make notes in this lab, as the notes will help you with the practical tests.\n### Task 0: Scenario and setup\nToday’s lab continues the water quality scenario from where you left off last time. You’ll need to complete Lab 03 before you can complete the tasks in this lab. You created tables corresponding to the Scientist, Sample, and Site entities in the following ERD:\n \n{{/Labs/03/Images/ERD_full.svg}}\n\nIf you haven’t already done so, you’ll complete the details for the Measurement and Measurement Type tables at the end of this lab in preperation for next weeks lab. **This lab focuses on the Scientist, Sample, and Site tables.** \n\nYou’ll also need the water quality CSV data file and the sample data form from Lab 04 on Blackboard. Download copies of these if you don’t have them already.\n","type":"text/x-markdown","section":"1.1","tags":"Contents hidden","revision":"0","bag":"default"},
{"title":"$:/Labs/05/Lab 5: Querying Data (1)","tags":"lab toc hidden","type":"text/vnd.tiddlywiki","text":"\u003Cdiv class=\"no-print\">Click the \u003C\u003Cmenu \"Open All\">> button below to open all of the sections for this lab.\u003C/div>\n\n!! Contents\n\n\u003C$set name=\"path\" value=\"/Labs/05/\">\n\n\u003C$macrocall $name=\"contents-tree\" path=\u003C\u003Cpath>> />\n\u003Cdiv class=\"no-print\">\u003C$macrocall $name=\"openByPath\" path=\u003C\u003Cpath>> />\u003C/div>\n\n\u003C/$set>","revision":"0","bag":"default"},
-{"title":"$:/Labs/05/Scenario and Setup","text":"This week, you’ll look at how to manipulate data in an Oracle database, focusing on the Read (SQL SELECT) operation. Of the data manipulation sublanguage statements, SELECT is by far the most complicated and interesting (INSERT, UPDATE and DELETE are much more straightforward). \n\nAll the work that you do today contributes towards completing the second assignment. It’s in your interest to make notes in this lab, as the notes will help you with the required components of the assignment.\n\n### Task 0: Scenario and setup\nToday’s lab continues the water quality scenario from where you left off last time. You’ll need to complete Lab 04 before you can complete the tasks in this lab (a solution is available on Blackboard if you need to catch up). You created database tables corresponding to the Scientist, Sample, and Site entities in the ERD below, and filled them with data.\n \n{{/Labs/03/Images/ERD}}\n\nIf you haven’t already done so, you’ll complete the details for the Measurement and Measurement Type tables as part of your work for the second assignment. This lab focuses on the Scientist, Sample, and Site tables. \n\nYou’ll also need the water quality CSV data file and the sample data form from Lab 04 on Blackboard. Download copies of these if you don’t have them already.\n","type":"text/x-markdown","section":"1.1","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/05/Scenario and Setup","text":"This week, you’ll look at how to manipulate data in a database, focusing on the Read (SQL SELECT) operation. Of the data manipulation sublanguage statements, SELECT is by far the most complicated and interesting (INSERT, UPDATE and DELETE are much more straightforward). \n\nIt’s in your interest to make notes in this lab, as the notes will help you with the preparing for the practical test.\n\n### Task 0: Scenario and setup\nToday’s lab continues the water quality scenario from where you left off last time. You’ll need to complete Lab 04 before you can complete the tasks in this lab (a solution is available on Blackboard if you need to catch up). You created database tables corresponding to the Scientist, Sample, and Site entities in the ERD below, and filled them with data.\n \n{{/Labs/03/Images/ERD}}\n\nIf you haven’t already done so, you’ll complete the details for the Measurement and Measurement Type tables as they will be required next week for more advanced queries. This lab focuses on the Scientist, Sample, and Site tables. \n\nYou’ll also need the water quality CSV data file and the sample data form from Lab 04 on Blackboard. Download copies of these if you don’t have them already.\n","type":"text/x-markdown","section":"1.1","tags":"Contents hidden","revision":"0","bag":"default"},
{"title":"$:/Labs/05/Task 1: Select Exercises","text":"Write SQL SELECT statements to answer the following questions. **Make sure you save your code somewhere for future reference.** Note that an empty query result may not necessarily indicate an error. If you find there are no data in your schema that satisfy a query, insert some that do and try again.\n1.\tList all sites in order of region and description.\n2.\tList all samples that have comments, in reverse date order. (Hint: Look at the IS NULL operator.)\n3.\tList the site ID, region, description, latitude and longitude of sites whose altitude is between 0 and 100 metres. Save this query as a view called Low_Altitude_Sites. \nWhat happens to sites that have no (i.e., null) altitude, and why? \t\n\t\n4.\tFind the mobile phone numbers of scientists Terry Towel and Jane Smith (using their name, not ID!).\n","type":"text/x-markdown","section":"1.3","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/05/Task 1: The basic SELECT statement","text":"### Select\nYou can think of the SELECT statement as roughly equivalent to a “print” statement in other languages: it’s simply a way to output some information from the database. What you output could be as simple as a single character literal value, or complex collection of column values, calculations and summarised statistical data. \n\nThe basic form of the SELECT statement looks like this:\n```plaintext\nselect [\u003Clist of expressions>]]\nfrom \u003Ctable expression>\n[where \u003Ccondition>]\n[order by \u003Clist of columns>];\n```\nThe SELECT clause is simply a comma-separated list of expressions, so you can write queries like the following:\n```plaintext\nselect 'Hello, World!', 18 * 365, sysdate from Dual;\n```\nWhat does this query output? \n\n---\nDescribe the structure and contents of the Dual table? Note:The Wikipedia page for the Dual table (https://en.wikipedia.org/wiki/DUAL_table) may be useful in answering these questions. \n\nWhy is this table needed? (Hint: It has to do with the syntax of the SELECT statement.) \n\n--- \n### From\nThe FROM clause specifies a table-valued expression, which tells the query where to get its data. In the simplest case, the FROM clause identifies a single table, but as you’ll see, it supports much more complex expressions. \n```plaintext\nselect Site_ID, Latitude, Longitude\nfrom Site; \n```\nselect * will return all the columns that exist in the FROM expression. \n\nCan you think of any reasons why it might not be a good idea to use **select** * in production code (i.e., deployed and running for real)? \n\n---\n### Where\nThe WHERE clause is used to restrict data based on some condition. Only those rows returned by the FROM clause for which the condition evaluates to true will be output. \n```plaintext\nselect *\nfrom Site\nwhere Altitude >= 100;\n```\nSensible sorting of the output rows can mean the difference between a useful query result and an unintelligible one. Use the ORDER BY clause to specify a sort key. If you need to sort on multiple columns, specify them as a comma-separated list, with the most significant column(s) first. For descending order, specify DESC. For example: \n```plaintext\nselect *\nfrom Scientist\norder by Surname, Other_Names;\n```\n```plaintext\nselect *\nfrom Site\norder by Altitude desc;\n```\nAlmost all queries have a sensible row ordering, so you should get into the habit of supplying an ORDER BY clause for any queries that you are likely to use more than once. \nQueries that might be commonly re-used can be stored as views, for example:\n```plaintext\ncreate view High_Altitude_Sites as\n select *\n from Site\n where Altitude >= 100\n order by Description;\n```\nThen all you have to do is:\n```plaintext\nselect * from High_Altitude_Sites;\n```\n\n","type":"text/x-markdown","section":"1.2","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/05/Task 1: The basic SELECT statement","text":"### Select\nYou can think of the SELECT statement as roughly equivalent to a “print” statement in other languages: it’s simply a way to output some information from the database. What you output could be as simple as a single character literal value, or complex collection of column values, calculations and summarised statistical data. \n\nThe basic form of the SELECT statement looks like this:\n```plaintext\nselect [\u003Clist of expressions>]]\nfrom \u003Ctable expression>\n[where \u003Ccondition>]\n[order by \u003Clist of columns>];\n```\nThe SELECT clause is simply a comma-separated list of expressions, so you can write queries like the following:\n```plaintext\nselect 'Hello, World!', 18 * 365, current_date;\n```\nWhat does this query output? \n\n\n--- \n### From\nThe FROM clause specifies a table-valued expression, which tells the query where to get its data. In the simplest case, the FROM clause identifies a single table, but as you’ll see, it supports much more complex expressions. \n```plaintext\nselect Site_ID, Latitude, Longitude\nfrom Site; \n```\nselect * will return all the columns that exist in the FROM expression. \n\nCan you think of any reasons why it might not be a good idea to use **select** * in production code (i.e., deployed and running for real)? \n\n---\n### Where\nThe WHERE clause is used to restrict data based on some condition. Only those rows returned by the FROM clause for which the condition evaluates to true will be output. \n```plaintext\nselect *\nfrom Site\nwhere Altitude >= 100;\n```\nSensible sorting of the output rows can mean the difference between a useful query result and an unintelligible one. Use the ORDER BY clause to specify a sort key. If you need to sort on multiple columns, specify them as a comma-separated list, with the most significant column(s) first. For descending order, specify DESC. For example: \n```plaintext\nselect *\nfrom Scientist\norder by Surname, Other_Names;\n```\n```plaintext\nselect *\nfrom Site\norder by Altitude desc;\n```\nAlmost all queries have a sensible row ordering, so you should get into the habit of supplying an ORDER BY clause for any queries that you are likely to use more than once. \nQueries that might be commonly re-used can be stored as views, for example:\n```plaintext\ncreate view High_Altitude_Sites as\n select *\n from Site\n where Altitude >= 100\n order by Description;\n```\nThen all you have to do is:\n```plaintext\nselect * from High_Altitude_Sites;\n```\n\n","type":"text/x-markdown","section":"1.2","tags":"Contents hidden","revision":"0","bag":"default"},
{"title":"$:/Labs/05/Task 2: Join Exercises","text":"Write SQL SELECT statements to answer the following questions. **Make sure you save your code somewhere for future reference.** \n\nNote that an empty query result may not necessarily indicate an error.\n1.\tList the site ID, date, region, description, and altitude of all samples, in date order.\n2.\tList all samples that were gathered at an altitude of between 0 and 100 metres. (Hint: This should look familiar. Can you re-use something you’ve already done?)\n3.\tList the names (in alphabetical order) of scientists who have gathered samples in the Dunedin region.\n4.\tOutput full details of all samples, including the scientist and the site.\n5.\tList the names (in alphabetical order) of scientists who haven’t yet gathered a sample. (Hint: You’ll need to use an outer join. Remember that unmatched columns are filled with nulls.)\n","type":"text/x-markdown","section":"2.2","tags":"Contents hidden","revision":"0","bag":"default"},
{"title":"$:/Labs/05/Task 2: Joins","text":"Very often, you need information from two or more tables. The relational *join* operation combines related data from multiple tables, returning a single table. Specifically, join combines pairs of rows from the two tables that have the same value in some common set of columns—most often the foreign key in one and the referenced primary key in the other. For example, to see full details of samples and the scientists that gathered them: \n```plaintext\nselect *\nfrom Sample inner join Scientist using (Scientist_Num);\n``` \nRun the above query. Why doesn’t the Scientist_Num column appear twice, given that it exists in both tables? \n\n---\nWhat happens if you swap the order of Sample and Scientist in the FROM clause? Is the difference important? \n\n---\nThe most common type of join is the inner join, which retrieves only matching pairs. Unmatched rows don’t appear in the result. If you want unmatched rows to be included, there are several kinds of outer join (syntax: [LEFT|RIGHT|FULL] OUTER JOIN) that can be used instead. These usually introduce nulls into the result. \n\nIf the join columns have different names, you’ll need to specify join conditions with ON instead of USING. For example, if the Scientist_Num foreign key in Sample was instead called Scientist_No: \n```plaintext\nselect *\nfrom Sample inner join Scientist on (Scientist_Num = Scientist_No);\n```\nRewrite the first join above with ON instead of USING. What additional changes do you need to make to get this to work, and why? \n\n---\nJoins involving more than two tables can be done simply by adding more join operations in the FROM clause. For example: \n```plaintext\nselect *\nfrom Sample inner join Scientist using (Scientist_Num)\n inner join Site using (Site_ID);\n```\nYou should always have an ERD handy when writing queries. The ERD is like a map of the database, giving you an overview of all tables and their columns, and also the relationships among them. Each relationship you traverse will add a join to your query. If you need data from two distant tables, you may have to join through a number of intervening tables as well. To be useful, the ERD should explicitly include all foreign key attributes, etc. \n\n**Here are some hints for writing joins:**\n\n•\tWork incrementally. Plan the path using the ERD, and implement one join at a time, testing at each step. If there are multiple paths, make sure you choose the right one! \n•\tDon’t do more joins than necessary. Use the foreign key attributes! \n•\tCheck the number of rows returned by the query. If you see more rows than the largest table being joined, you have a problem. \n•\tFill in the SELECT clause last (just use select * while testing).\n\n\t\t\t\t\n\n\n\n","type":"text/x-markdown","section":"2.1","tags":"Contents hidden","revision":"0","bag":"default"},
-{"title":"$:/Labs/05/Task 3: Continue work on second assignment and prepare for next lab","text":"You should now have a reasonable idea of how basic querying works in SQL. If you found this easy and would like an extra challenge, learn about subqueries and how they can be used (for example, subqueries can provide a different, and perhaps slightly more intuitive, way to answer the query above about scientists who have no samples). Otherwise, work on the queries and views for Assignment 2. \n\nIn the next lab, you’ll learn how to use aggregate functions and grouping (GROUP BY) to summarise data\n","type":"text/x-markdown","section":"3.0","tags":"Contents hidden","revision":"0","bag":"default"},
+{"title":"$:/Labs/05/Task 3: Prepare for next lab","text":"You should now have a reasonable idea of how basic querying works in SQL. If you found this easy and would like an extra challenge, learn about subqueries and how they can be used (for example, subqueries can provide a different, and perhaps slightly more intuitive, way to answer the query above about scientists who have no samples). \n\nIn the next lab, you’ll learn how to use aggregate functions and grouping (GROUP BY) to summarise data. \n\nTo prepare for that lab download the full test data inserts and populate all your tables, fixing up any errors you find in your DDL script as needed.\n","type":"text/x-markdown","section":"3.0","tags":"Contents hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Grouped Aggregate Queries (GROUP BY, HAVING)","text":"We looked at basic aggregate queries last week, where you wrote queries that produced a single row of output from multiple rows of input. Sometimes, however, you want finer detail or granularity, producing a row of aggregate data for each separate group of data. Examples of this include: counting the number of customers in each city, finding the top sales rep per region, computing average salary by gender, or calculating the total quarterly revenue. The clue that you need to write a grouped query is in the wording: “for each x”, “of each x”, “by x”, or “per x” mean you probably have to group by x. \n\nIn SQL, the grouping for aggregates can be specified using the **GROUP BY** clause, which simply lists columns or expressions that you wish to group by. The query result will have one row of output for each combination of values in the grouped columns, with aggregate functions being applied over each group. With no **GROUP BY** clause, there will be one group for the entire set of data. \n\nHere is a simple example, showing the number of students of each gender:\n```plaintext\nselect Gender, count(*)\nfrom Student\ngroup by Gender;\n``` \nAnother example, showing the number of students of each gender enrolled in each paper:\n```plaintext\nselect Paper_Code, Gender, count(*)\nfrom Student inner join Enrolment using (Student_ID)\ngroup by Paper_Code, Gender;\n```\nThere are restrictions on what can appear in the **SELECT** clause in an aggregate query, since the output must be tabular – you cannot include arbitrary columns from the tables in the FROM clause. The general rule is that any expression that has one value per group is permitted, which typically limits you to the following: \n\n•\tAggregate function calls (**COUNT, SUM**, etc.) \n\n•\tExpressions listed in the **GROUP BY** clause \n\n•\tExpressions that are independent of the rows, such as literals or function calls such as **CURRENT_TIMESTAMP** \n\nThis means that you cannot see the summary data and details of the original rows in the scope of one **SELECT** expression (even though it may be tempting to try). \n\nGenerally, you should include the grouped columns in the **SELECT** clause to give context. It often makes sense to order by those columns as well. \n\nBecause SQL applies the WHERE clause prior to grouping, you cannot easily use it to filter groups based on aggregate function results (at least without resorting to subqueries). Instead, SQL provides the HAVING clause for this purpose. It works just like the WHERE clause, except it filters by group rather than by the original, individual rows. The HAVING clause would normally include an aggregate function call in the condition. For example, to see papers with more than 30 students:\n```PLAINTEXT\nselect Paper_Code, count(*)\nfrom Enrolment\ngroup by Paper_Code\nhaving count(*) > 30;\n```\n","type":"text/x-markdown","section":"1.2","tags":"lab lab06 hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Lab 6: Querying Data (II)","tags":"lab toc hidden","type":"text/vnd.tiddlywiki","text":"\u003Cdiv class=\"no-print\">Click the \u003C\u003Cmenu \"Open All\">> button below to open all of the sections for this lab.\u003C/div>\n\n!! Contents\n\n\u003C$set name=\"path\" value=\"/Labs/06/\">\n\n\u003C$macrocall $name=\"contents-tree\" path=\u003C\u003Cpath>> />\n\u003Cdiv class=\"no-print\">\u003C$macrocall $name=\"openByPath\" path=\u003C\u003Cpath>> />\u003C/div>\n\n\u003C/$set>","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Scenario and Setup 1","text":"### Introduction\nThis lab examines some more advanced features of the SQL language for query processing.\n### Main Concepts:\n \n* Grouped aggregate queries \n* Specialised joins \n* Subqueries\n\n### Getting Started\nYou should be able to continue where you left off last time. If you haven’t finished the querying activities from the previous lab, do so before proceeding. Check that your database tables are present and contain the test data from the previous lab. \n\nIf you haven’t already done so, complete the details for the Measurement and Measurement Type tables as part of your work for lab submission. \n\nYou’ll also need the water quality CSV data file and the sample data form from Lab 05 on Blackboard. Download copies of these if you don’t have them already.\n\n\nIt’s in your interest to make notes in this lab, as the notes will help you with the practical test.\n\n \n{{/Labs/03/Images/ERD}}\n\n\n","type":"text/x-markdown","section":"1.1","tags":"lab lab06 hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Specialised Joins","text":"Last week we looked at the use of joins for combining data from related tables. Specifically, we used inner joins to retrieve pairs of related rows. A notable feature of inner joins is that the query result will not include rows that have no matching row(s) in the other table. Sometimes, however, we want those unmatched rows to appear in the result, such as when reporting. To do this, use an *outer join*. \n\nThe outer join operation is asymmetrical: one of the two tables is considered the “master” table and will have all rows present in the output, and the other will be padded with nulls whenever there is no matching row. The master table is identified by the keywords LEFT or RIGHT preceding the** OUTER JOIN** clause; **X LEFT OUTER JOIN Y** is the same as **Y RIGHT OUTER JOIN X**. There is also a FULL OUTER JOIN which will include all rows from both tables, null-padded where there are no matches from the other table. The join is otherwise specified as for an inner join (e.g. **USING** (…)). \n\nFor example, to see the all students and their enrolments (if any):\n```plaintext\nselect *\nfrom Student left outer join Enrolment using (Student_ID);\n```\nAs with inner joins, you should check the number of rows returned (prior to aggregation) to make sure it is reasonable (it should not be greater than the number of rows in either table). \n\nThere is also a Cartesian Product, which is like a join but returns all combinations of rows from the tables (even the unrelated ones!), and is seldom useful. If you simply list table names in the FROM clause, you will get the Cartesian Product, e.g.\n```plaintext\nselect *\nfrom Day, Time;\n```\n\n","type":"text/x-markdown","section":"2.1","tags":"lab lab06 hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Subqueries","text":"Queries sometimes involve multiple parts, where you need some auxiliary piece of information in order to perform the main query. In simple cases, these can be written as two queries, but if the subordinate query involves many rows, this may not be practical. \n\nIn SQL, you can write a **SELECT** expression and embed it within another query as a subquery. Subqueries are often seen in the **WHERE** clause, as part of a restriction condition, but they can also appear in the **FROM** or **SELECT** clauses. Generally, the subquery needs to be written inside parentheses so that the SQL parser can identify where it starts and ends. \n\nAn example would be to find the highest-paid employee (or employees – there might be more than one top-equal). The first step would be to write a skeleton of the main query:\n```plaintext\nselect *\nfrom Employee\nwhere Salary = ?;\n```\nThe “?” figure is not valid SQL syntax, but a placeholder for the highest salary value, which can be determined with a separate query:\n```plaintext\nselect max(Salary) from Employee;\n```\nYou can then combine the two queries, embedding the “highest salary” query as a subquery of the main one:\n```plaintext\nselect *\nfrom Employee\nwhere Salary = (\n\tselect max(Salary)\n\tfrom Employee\n);\t\n```\nOf course, you are not limited to using “=” with the subquery: it could be “>”, “NOT IN”, etc., depending on the requirements. There are also the qualifiers **ANY** and **ALL** that can be used with subqueries (note that “= **ANY**” is equivalent to “**IN**”).","type":"text/x-markdown","section":"3.1","tags":"lab lab06 hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Task 1: Group by Exercises","text":"### Write SQL to implement the following queries:\n1.\tHow many sites are there per region? \n\n2.\tWhat is the total catchment area for each region? (What is strange about the results? Is there anything you can do to resolve the problem?) \n\n3.\tWhat scientists are responsible for more than 80 samples?\n","type":"text/x-markdown","section":"1.3","tags":"lab lab06 hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Task 2: Join Exercises","text":"### Write SQL for the following: \n\n4: List all scientists and their samples. \n\n5:\tShow the number of samples taken by each scientist (**tricky!**).\n","type":"text/x-markdown","section":"2.2","tags":"lab lab06 hidden","revision":"0","bag":"default"},
+
+{"title":"$:/Labs/06/Task 3: Subquery Exercises","text":"### Write SQL for the following queries: \n\n6:\tWhich site has the largest catchment area?\n\n7: Which scientists have recorded samples in the Dunedin region?\n\n8:\tWhich scientists have not recorded any samples?\n","type":"text/x-markdown","section":"3.2","tags":"lab lab06 hidden","revision":"0","bag":"default"},
{"title":"$:/language/Snippets/TableOfContents","caption":"Table of Contents","created":"20200702094536792","modified":"20200702094536853","type":"text/vnd.tiddlywiki","text":"\u003Cdiv class=\"tc-table-of-contents\">\n\n\u003C\u003Ctoc-selective-expandable 'TableOfContents'>>\n\n\u003C/div>","revision":"0","bag":"default"},
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