untung99.homes: PostgreSQL Tutorial Comprehensive Postgresql Tutorial

Section 1. Querying Data

• Select – show you how to query data from a single table.
• Column aliases – learn how to assign temporary names to columns or expressions in a query.
• Order By – guide you on how to sort the result set returned from a query.
• Select Distinct  – provide you with a clause that removes duplicate rows in the result set.

Section 2. Filtering Data

• Where – filter rows based on a specified condition.
• Limit – get a subset of rows generated by a query.
• Fetch– limit the number of rows returned by a query.
• In – select data that matches any value in a list of values.
• Between – select data that is a range of values.
• Like – filter data based on pattern matching.
• Is Null – check if a value is null or not.

Section 3. Joining Multiple Tables

• Joins – show you a brief overview of joins in PostgreSQL.
• Table aliases – describes how to use table aliases in the query.
• Inner Join – select rows from one table that has the corresponding rows in other tables.
• Left Join – select rows from one table that may or may not have the corresponding rows in other tables.
• Self-join – join a table to itself by comparing a table to itself.
• Full Outer Join – use the full join to find a row in a table that does not have a matching row in another table.
• Cross Join – produce a Cartesian product of the rows in two or more tables.
• Natural Join – join two or more tables using implicit join conditions based on the common column names in the joined tables.

Section 4. Grouping Data

• Group By – divide rows into groups and applies an aggregate function on each.
• Having – apply conditions to groups.

Section 5. Set Operations

• Union – combine result sets of multiple queries into a single result set.
• Intersect – combine the result sets of two or more queries and returns a single result set that has the rows appear in both result sets.
• Except – return the rows in the first query that does not appear in the output of the second query.

Section 6. Grouping sets, Cube, and Rollup

• Grouping Sets  – generate multiple grouping sets in reporting.
• Cube – define multiple grouping sets that include all possible combinations of dimensions.
• Rollup – generate reports that contain totals and subtotals.

Section 7. Subquery

• Subquery – write a query nested inside another query.
• ANY  – retrieve data by comparing a value with a set of values returned by a subquery.
• ALL – query data by comparing a value with a list of values returned by a subquery.
• EXISTS  – check for the existence of rows returned by a subquery.

Section 8. Common Table Expressions

Section 9. Modifying Data

In this section, you will learn how to insert data into a table with the INSERT statement, modify existing data with the UPDATE statement, and remove data with the DELETE statement. Besides, you learn how to use the upsert statement to merge data.

• Insert – guide you on how to insert a single row into a table.
• Insert multiple rows – show you how to insert multiple rows into a table.
• Update – update existing data in a table.
• Update join – update values in a table based on values in another table.
• Delete – delete data in a table.
• Upsert – insert or update data if the new row already exists in the table.

Section 10. Transactions

• PostgreSQL Transactions – show you how to handle transactions in PostgreSQL using BEGIN, COMMIT, and ROLLBACK statements.

Section 11. Import & Export Data

You will learn how to import and export PostgreSQL data from and to CSV file format using the copy command.

Section 12. Managing Tables

In this section, you will start exploring the PostgreSQL data types and show you how to create new tables and modify the structure of the existing tables.

• Data types – cover the most commonly used PostgreSQL data types.
• Create a table – guide you on how to create a new table in the database.
• Select Into & Create table as– shows you how to create a new table from the result set of a query.
• Auto-increment column with SERIAL – uses SERIAL to add an auto-increment column to a table.
• Sequences – introduce you to sequences and describe how to use a sequence to generate a sequence of numbers.
• Identity column – show you how to use the identity column.
• Alter table – modify the structure of an existing table.
• Rename table – change the name of the table to a new one.
• Add column – show you how to use add one or more columns to an existing table.
• Drop column – demonstrate how to drop a column of a table.
• Change column data type – show you how to change the data of a column.
• Rename column – illustrate how to rename one or more columns of a table.
• Drop table – remove an existing table and all of its dependent objects.
• Truncate table – remove all data in a large table quickly and efficiently.
• Temporary table – show you how to use the temporary table.
• Copy a table – show you how to copy a table to a new one.

Section 13. Understanding PostgreSQL Constraints

• Primary key – illustrate how to define a primary key when creating a table or adding a primary key to an existing table.
• Foreign key – show you how to define foreign key constraints when creating a new table or add foreign key constraints for existing tables.
• CHECK constraint – add logic to check value based on a Boolean expression.
• UNIQUE constraint – make sure that values in a column or a group of columns are unique across the table.
• NOT NULL constraint – ensure values in a column are not NULL.

Section 14. PostgreSQL Data Types in Depth

• Boolean – store TRUE and FALSE values with the Boolean data type.
• CHAR, VARCHAR and TEXT – learn how to use various character types including CHAR, VARCHAR, and TEXT.
• NUMERIC – show you how to use NUMERIC type to store values that precision is required.
• Integer – introduce you to various integer types in PostgreSQL including SMALLINT, INT and BIGINT.
• DATE  – introduce the DATE data type for storing date values.
• Timestamp – understand timestamp data types quickly.
• Interval – show you how to use interval data type to handle a period of time effectively.
• TIME – use the TIME datatype to manage the time of day values.
• UUID – guide you on how to use UUID datatype and how to generate UUID values using supplied modules.
• Array – show you how to work with the array and introduces you to some handy functions for array manipulation.
• hstore – introduce you to data type which is a set of key/value pairs stored in a single value in PostgreSQL.
• JSON – illustrate how to work with JSON data type and shows you how to use some of the most important JSON operators and functions.
• User-defined data types – show you how to use the CREATE DOMAIN and CREATE TYPE statements to create user-defined data types.

Section 15. Conditional Expressions & Operators

• CASE – show you how to form conditional queries with CASE expression.
• COALESCE – return the first non-null argument. You can use it to substitute NULL by a default value.
• NULLIF – return NULL if the first argument equals the second one.
• CAST – convert from one data type into another e.g., from a string into an integer, from a string into a date.

Section 16. PostgreSQL Utilities

• psql commands – show you the most common psql commands that help you interact with psql faster and more effectively.

Section 17. PostgreSQL Recipes