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PostgreSQL Replication, Second Edition

You're reading from   PostgreSQL Replication, Second Edition Leverage the power of PostgreSQL replication to make your databases more robust, secure, scalable, and fast

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783550609
Length 322 pages
Edition 1st Edition
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Toc

Table of Contents (17) Chapters Close

Preface 1. Understanding the Concepts of Replication FREE CHAPTER 2. Understanding the PostgreSQL Transaction Log 3. Understanding Point-in-time Recovery 4. Setting Up Asynchronous Replication 5. Setting Up Synchronous Replication 6. Monitoring Your Setup 7. Understanding Linux High Availability 8. Working with PgBouncer 9. Working with pgpool 10. Configuring Slony 11. Using SkyTools 12. Working with Postgres-XC 13. Scaling with PL/Proxy 14. Scaling with BDR 15. Working with Walbouncer Index

Creating tables and issuing queries

After this introduction to Postgres-XC and its underlying ideas, it is time to create our first table and see how the cluster will behave. The next example shows a simple table. It will be distributed using the hash key of the id column:

test=# CREATE TABLE t_test (id int4)
DISTRIBUTE BY HASH (id);
CREATE TABLE
test=# INSERT INTO t_test
SELECT * FROM generate_series(1, 1000);
INSERT 0 1000

Once the table has been created, we can add data to it. After completion, we can check whether the data has been written correctly to the cluster:

test=# SELECT count(*) FROM t_test;
count
-------
  1000
(1 row)

Not surprisingly, we have 1,000 rows in our table.

The interesting thing here is to see how the data is returned by the database engine. Let's take a look at the execution plan of our query:

test=# explain (VERBOSE TRUE, ANALYZE TRUE,
NODES true, NUM_NODES true)
SELECT count(*) FROM t_test;
QUERY PLAN
-------------------------------------------------------
 Aggregate...
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