Sql cookbook o reilly pdf

There's also live online events, interactive content, certification prep materials, and more. You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language SQL so you can create and manipulate large stores of data.

SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL. Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental ….

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …. Skip to main content. Start your free trial. Buy on Amazon. Book description You may know SQL basics, but are you taking advantage of its expressive power? Show and hide more. Table of contents Product information.

Retrieving Records 1. Retrieving All Rows and Columns from a Table 1. Retrieving a Subset of Rows from a Table 1. Retrieving a Subset of Columns from a Table 1. Providing Meaningful Names for Columns 1. Concatenating Column Values 1. Limiting the Number of Rows Returned 1. Returning n Random Records from a Table 1. Finding Null Values 1. Transforming Nulls into Real Values 1. Searching for Patterns 1. Summing Up 2. Sorting Query Results 2. Returning Query Results in a Specified Order 2.

Sorting by Multiple Fields 2. Sorting by Substrings 2. Sorting Mixed Alphanumeric Data 2. Dealing with Nulls When Sorting 2. Sorting on a Data-Dependent Key 2. Summing Up 3.

Working with Multiple Tables 3. Stacking One Rowset atop Another 3. Combining Related Rows 3. Identifying and Avoiding Cartesian Products 3. Performing Joins When Using Aggregates 3.

Returning Missing Data from Multiple Tables 3. Summing Up 4. Inserting, Updating, and Deleting 4. Inserting a New Record 4. Inserting Default Values 4. Copying Rows from One Table into Another 4. Copying a Table Definition 4. Inserting into Multiple Tables at Once 4.

Blocking Inserts to Certain Columns 4. Modifying Records in a Table 4. Updating When Corresponding Rows Exist 4. Updating with Values from Another Table 4. Merging Records 4. Deleting All Records from a Table 4. Deleting Specific Records 4. Deleting a Single Record 4.

Deleting Referential Integrity Violations 4. Deleting Duplicate Records 4. Deleting Records Referenced from Another Table 4. Summing Up 5. Metadata Queries 5. Listing Tables in a Schema 5. Listing Indexed Columns for a Table 5. Listing Constraints on a Table 5. Summing Up 6. Working with Strings 6. Walking a String 6. Embedding Quotes Within String Literals 6. Counting the Occurrences of a Character in a String 6.

Removing Unwanted Characters from a String 6. Separating Numeric and Character Data 6. Determining Whether a String Is Alphanumeric 6. Extracting Initials from a Name 6. Ordering by Parts of a String 6. Ordering by a Number in a String 6.

Creating a Delimited List from Table Rows 6. Alphabetizing a String 6. Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on …. To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …. Skip to main content.

Start your free trial. Buy on Amazon. Book description You know the rudiments of the SQL query language, yet you feel you aren't taking full advantage of SQL's expressive power.

You'll learn about: Window functions, arguably the most significant enhancement to SQL in the past decade. Show and hide more. Table of contents Product information. Retrieving Records 1. Retrieving All Rows and Columns from a Table 1. Retrieving a Subset of Rows from a Table 1.

Retrieving a Subset of Columns from a Table 1. Providing Meaningful Names for Columns 1. Concatenating Column Values 1. Limiting the Number of Rows Returned 1. Returning n Random Records from a Table 1. Finding Null Values 1. Transforming Nulls into Real Values 1. Searching for Patterns 2. Sorting Query Results 2.

Returning Query Results in a Specified Order 2. Sorting by Multiple Fields 2. Sorting by Substrings 2. Sorting Mixed Alphanumeric Data 2. Dealing with Nulls when Sorting 2.

Sorting on a Data Dependent Key 3. Working with Multiple Tables 3. Stacking One Rowset atop Another 3. Combining Related Rows 3.

Identifying and Avoiding Cartesian Products 3. Performing Joins when Using Aggregates 3. Performing Outer Joins when Using Aggregates 3. Returning Missing Data from Multiple Tables 3. Inserting, Updating, Deleting 4. Inserting a New Record 4. Inserting Default Values 4. Copying Rows from One Table into Another 4. Copying a Table Definition 4. Inserting into Multiple Tables at Once 4. Blocking Inserts to Certain Columns 4. Modifying Records in a Table 4.

Updating when Corresponding Rows Exist 4. Updating with Values from Another Table 4. Merging Records 4. Deleting All Records from a Table 4. Deleting Specific Records 4. Deleting a Single Record 4. Deleting Referential Integrity Violations 4. Deleting Duplicate Records 4. Deleting Records Referenced from Another Table 5.

Metadata Queries 5. Listing Tables in a Schema 5. Listing Indexed Columns for a Table 5. Listing Constraints on a Table 5. Working with Strings 6. Walking a String 6. Embedding Quotes Within String Literals 6. Counting the Occurrences of a Character in a String 6. Removing Unwanted Characters from a String 6. Separating Numeric and Character Data 6. Determining Whether a String Is Alphanumeric 6. Extracting Initials from a Name 6.

Ordering by Parts of a String 6. Ordering by a Number in a String 6. Creating a Delimited List from Table Rows 6. Alphabetizing a String 6. Extracting the nth Delimited Substring 6. Parsing an IP Address 7. Working with Numbers 7. Computing an Average 7. Summing the Values in a Column 7. Counting Rows in a Table 7. Counting Values in a Column 7. Generating a Running Total 7. Generating a Running Product 7.