postgresql database replication

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Using BUCARDO5 to implement PostgreSQL primary database replication _ database Other

The next generation asynchronous multiple primary database replication System Bucardo 5 was released. This version removes the limit of two database sources in the old version, allowing for more source databases (that is, the primary database) and more target databases (that is, backing up the

PostgreSQL database streaming replication stream replication main standby delay test

Label:What is the latency between the PostgreSQL database stream replication master and standby and should be evaluated for both HA and load balancing. A simple HA architecture, for example, is how much time we allow for data loss in the event of a failure of the main library. No nonsense, go directly into this experiment test. Test environment:Main Library: Memo

Use Bucardo5 to implement master database replication of PostgreSQL, bucardo5postgresql

Use Bucardo5 to implement master database replication of PostgreSQL, bucardo5postgresql The next generation of asynchronous primary database replication system Bucardo 5 is released. This version removes the restrictions on two database

PostgreSQL database stand-alone expansion for stream replication

1. Installing the Postgres database on the standby server does not require initialization.installation process See: http://www.cnblogs.com/ilifeilong/p/6979288.html2. Create a replication user with replication permissions on the primary serverPostgres=CREATEwithREPLICATION'repl' LOGIN;3. Allow replication users to conn

PostgreSQL replication cluster overview, PostgreSQL replication Cluster

skype. Although plproxy can only do horizontal sharding, put it here. Plproxy is a database component developed by skype. During use, you need to consider bandwidth and local cache. It limits the number of proxy databases to the power of 2. Proxy implements the forwarding function on user-defined functions. This requires that a large number of business logic needs to be put on the PostgreSQL server end in

PostgreSQL Replication's second chapter understands the transaction log of PostgreSQL (1)

internal firewall of PostgreSQL, which represents one of the two most important configuration files in a PostgreSQL cluster. It allows the user to define any type of authentication based on the source of the request. A database administrator, understanding the pg_hba.conf file is critical because this file determines whether a slave is allowed to connect to mast

The fifth chapter of PostgreSQL replication set up synchronous replication (1)

Remote_write.Changing durability settings While the system is runningIt is easy to change the way data is replicated while the system is running. In this chapter, we have adjusted the Synchronous_standby_names (master) and application_name (slave) parametersA fully synchronized replication infrastructure is established. The benefit of PostgreSQL is that you can change your durability requirements when the

PostgreSQL stream replication (streaming replication)

-write log before the database is actually changed. This guarantees that the timestamp of the pre-write log will never lag behind the database, even if the server is suddenly crashing at the time of the write, and the data can be recovered from the pre-write log after the restart because the pre-write log retains the newer version than the database record. The as

The fourth chapter of PostgreSQL replication set up asynchronous replication (1)

recovery (pitr,point-in-time-recovery). ] In this scenario, stream replication will resolve your issue. With stream replication, the latency of replication will be minimal and you can enjoy some extra level of protection for your data. Let's talk about the overall architecture of the PostgreSQL streaming infrastructur

The fourth chapter of PostgreSQL replication set up asynchronous Replication (4)

long as the stream connection is available, slave never needs to be read from the Xlog file. 2. If we do not use a stream, but instead replay from a file, PostgreSQL will check each XLOG record and see if it is correctly verified. If any errors occur, slave will not continue to replay the corrupted Xlog. This will ensure that no other problems are derived and that no corrupted xlog are replayed. Your database

PostgreSQL Replication's second chapter understands the transaction log of PostgreSQL (5)

: There are various types of xlog records (for example, Heap,btree,clog,storage,gin, and Standby records, just to name a few).Xlog Records Backward links. This way, each entry points to the previous entry in the file. In this way, we can fully believe that we have found the end of the record as long as we want to point to the pointer to the previous entry.make XLOG with certaintyAs you can see, a change could trigger many xlog entries. This is true for all kinds of statements, such as a large DE

PostgreSQL Replication's second chapter understands the transaction log of PostgreSQL (4)

2.4 Adjusting checkpoints and xlogSo far, this chapter has provided insight into how PostgreSQL writes data, in general, what Xlog is used for. Given this knowledge, we can now continue and learn what we can do to make our databases work more efficiently in both replication and single-server operations.2.4.1 Understanding CheckpointsIn this chapter, we have seen that it has been written to Xlog before the d

The first chapter of PostgreSQL Replication Understanding Replication Concepts (1)

Label:PostgreSQL replication Series translated from PostgreSQL replication book In this chapter, you'll look at different replication concepts, and you'll see which types of replication are most appropriate for which practical scenarios. At the end of this chapter, you will

PostgreSQL Replication's second chapter understands the transaction log of PostgreSQL (2)

Label:2.2 Xlog and ReplicationIn this chapter, you have learned that the transaction log for PostgreSQL has made all changes to the database. The transaction log itself is packaged as an easy-to-use 16MB segment.The idea of using this change set to replicate data is not farfetched. In fact, this is a logical step in the development of each relational (or even non-relational)

The first chapter of PostgreSQL Replication Understanding Replication Concepts (3)

to • It is supported by many frameworks • It can be combined with a variety of other replication methods • It can support PostgreSQL very well (e.g. using pl/proxy) Light and shadow tend to go together, so fragmentation has its shortcomings, as follows: • Adding servers to a running cluster is cumbersome (depending on the type of partition function) • Your flexibility may be severely reduced. • Not all typ

PostgreSQL Advantage, MySQL database itself is not very rich, trigger and stored process support is weak, Greenplum, AWS Redshift, etc. are based on PostgreSQL developed

main library backup will compete with the application for IO resources, originally also evaluated on-premises from the library backup, but we use the Pg_rman tool still need to initiate the start Backup and end Backup command in the main library, considering the network impact, coupled with the current IO resources are more abundant, so the backup temporarily or On the main library, subsequent consideration of migrating the backup operations to the slave library. Offsite

The first chapter of PostgreSQL Replication Understanding Replication Concepts (2)

tables. Record submission status, and so on. The goal of physical replication is to create a copy of the system at the same physical level. This means that the same data on all servers will be in the same place on your table. In the case of logical replication, however, the content should be the same regardless of whether the content is in the same place and no different.When to use physical repli

Postgresql fatal error: Reserved connection locations are reserved for Super Users who execute non-replication requests, and postgresql Super Users

Postgresql fatal error: Reserved connection locations are reserved for Super Users who execute non-replication requests, and postgresql Super Users Recently, database monitoring of the monitoring system is always delayed. An error is reported when you view the log: 10:20:19, 534 ERROR Traceback (most recent call last)

The fourth chapter of PostgreSQL replication set up asynchronous Replication (3)

will wait for a file/tmp/start_me_up.txt to make the condition set. The content of this file is completely irrelevant; PostgreSQL simply checks to see if the file exists and, if so, stops the recovery and converts itself to master.Creating an empty file is fairly straightforward work:imac:slavehs$ Touch/tmp/start_me_up.txtThe database system will respond to the new file Start_me_up.txtFatal:terminating Wal

The fourth chapter of PostgreSQL replication set up asynchronous Replication (5)

wal_keep_segments heavily. The idea of this postgresql.conf setup is to keep master in more Xlog files than is theoretically needed. If you set the variable to 1000, it means that master will keep the xlog above 16GB. In other words, your slave can disappear 16GB compared to normal (convert to master). This greatly increases the slave's advantage of joining a cluster without having to fully synchronize itself from the beginning. For a 500MB database

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