postgres select 1

POSTGRES-XL Cluster construction and testing CentOS6.5 192.168.0.101 CentOS6.5 192.168.0.102 CentOS6.5 192.168.0.103 CentOS6.5 192.168.0.104 First, host planning Cnode1 (GTM) cnode2 (Gtm_proxy,coordinator,datanode) cnode3

Postgres log utility has to say that Postgres logs (pg_log, similar to the oracle alter file, rather than pg_xlog) are indeed flexible and feature-rich, the following are some management functions using ipvs logs. The parameters involved are in the

POSTGRES-XL is a fully acid-compliant, open-source, easy to scale, multi-tenant security. Support share-nothing; Support massive data parallel processing-mpp (massively Parallel processing). is not very similar to Greenplum. Host Assignment3 host,

"Editor's note" as an open source object-relational database, Postgres has been loved by many developers. Recently, Postgres officially released version 9.5, which has been a lot of repair and functional improvements. This article will share 10

PostgreSQL provides developers with a rich set of tools to manage concurrent access to data. Internally, data consistency is maintained by using a multi-version model (multi-version concurrency control, MVCC). This means that each SQL statement sees

1. Prepare Create a base table first: CREATE TABLE mytb1 (ID serial,name character varying,age integer);To create an index on the name field: Create INDEX Mytb1_name_index on MYTB1 (name); To view the MYTB1 table structure: postgres=# \d mytb1;

Today development found me, said their database connection is not up, may be too many connections, and then I log on to the server, and try to log into the database, is also an error:Psql:FATAL:sorry, too many clients alreadyIt is clear that the

Long time do not write things, have been looking at some open source things, the following paste on Linux installation configuration postgres and use Dblink operation reference for readers and their future reference:1. Download Source: postgresql-9.3

Postgres uses returning to implement last_insert_id of mysql. Today, I am asked if postgres has inserted a value like mysql and returned the inserted value. This is yes and has higher scalability. Example: [S @ localhost ~] $ Psqlpsql (9.2.4)

In a (bad) PostgreSQL query, just a little to change (any (array[...)) to any (VALUES (...) ) will be able to reduce the query time from 20s to 0.2s. From the simplest learning to use EXPLAIN ANALYZE , to learn to use the Postgres community A lot of