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Getting Started with CockroachDB

You're reading from   Getting Started with CockroachDB A guide to using a modern, cloud-native, and distributed SQL database for your data-intensive apps

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800560659
Length 246 pages
Edition 1st Edition
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Author (1):
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Kishen Das Kondabagilu Rajanna Kishen Das Kondabagilu Rajanna
Author Profile Icon Kishen Das Kondabagilu Rajanna
Kishen Das Kondabagilu Rajanna
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Getting to Know CockroachDB
2. Chapter 1: CockroachDB – A Brief Introduction FREE CHAPTER 3. Chapter 2: How Does CockroachDB Work Internally? 4. Section 2: Exploring the Important Features of CockroachDB
5. Chapter 3: Atomicity, Consistency, Isolation, and Durability (ACID) 6. Chapter 4: Geo-Partitioning 7. Chapter 5: Fault Tolerance and Auto-Rebalancing 8. Chapter 6: How Indexes Work in CockroachDB 9. Section 3: Working with CockroachDB
10. Chapter 7: Schema Creation and Management 11. Chapter 8: Exploring the Admin User Interface 12. Chapter 9: An Overview Of Security Aspects 13. Chapter 10: Troubleshooting Issues 14. Chapter 11: Performance Benchmarking and Migration 15. Other Books You May Enjoy Appendix: Bibliography and Additional Resources

DQL

DQL is used for reading or querying data or table metadata. SQL statements involving SELECT and SHOW fall under this category.

SELECT is a very commonly used SQL syntax to read table data. It takes the following parameters:

  • ALL: Doesn't eliminate duplicate rows.
  • DISTINCT: Eliminates duplicate rows.
  • DISTINCT ON ( a_expression): Eliminates duplicate rows based on a scalar expression.
  • target_element: A scalar expression to determine a column in each result row, or to retrieve all columns in case of an asterisk (*).
  • table_expression: A table expression from which the data has to be retrieved.
  • AS OF SYSTEM TIME  timestamp: Retrieves data as it existed at the time of this timestamp, where timestamp refers to a specific time in the past. This can return historical data, which can be stale.
  • WHERE a_expression: Only retrieves rows that return TRUE for a_expression.
  • GROUP BY a_expression: Groups results on one or more columns.
  • ...
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