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PostgreSQL replication cluster overview, PostgreSQL replication Cluster For pg replication, high availability, and load balancing clusters, write an overview for future reference. Pg has the following various replication-Based Cl
calculated as follows:Checkpoint_segments + wal_keep_segments + 1 filesThe important thing is that if the size of something is fixed, it rarely runs out of space.[in the case of transaction log replication, if the transaction log cannot be archived, we can run out of Xlog directory space.] ]You can learn more about this topic in the next section.2.5.2 LSN and shared buffer interactionIf you are repairing a table, you must make sure that the table is
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) database system. Other parts of
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
Label:Basic Environment Description: 9.3 PostgreSQL version:9.3. 6 Master:192.168. 56.101 Standby:192.168. 56.102 Installation process slightly, based on pkg package 1. Configure the Master side # psql-u pgsql-d postgres-c"CREATE USER Rep REPLICATION LOGIN ENCRYPTED PASSWORD ' PASSWORD ';" # cd/usr/local/pgsql # vim data/postgresql.conf listen_addresses='*'Wal_level='Hot_standby'max_wal_senders=1# Vim da
Label:4.4 Stream-based and file-based recoveryLife is not always black or white; sometimes there are some shades of gray. For some scenarios, stream replication may be just right. In other cases, file-based replication and PITR are what you need. However, there are also many cases where you need both stream replication and file-based
So far, we have processed file-based replication (or log shipping) and simple stream-based replication settings. In both cases, after the transaction is committed on master, the data is submitted and received by slave. It will still be lost at the time that master commits and slave actually receives the data completely.In this chapter, we will study the following topics:• Ensure that no transactions are los
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 plac
In the previous chapters, we have understood the various replication concepts. This is not just a theoretical overview of the things that will enhance your consciousness for the next thing to be introduced, but will also introduce you to a broad topic.In this chapter, we will be closer to the actual solution and understand how PostgreSQL works internally and what replic
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
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
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
4.7 Conflict ManagementIn PostgreSQL, stream replication data flows in only one direction. Xlog is provided by master to several slave that consume transaction logs and provide you with a better backup of your data. You may wonder how this can lead to a conflict, which can occur.Consider the situation: as you know, there is a small delay in data replication. Ther
BackgroundPostgreSQL logical backup, refers to online backup database data, DDL output as SQL statements, data can be in the form of SQL statements or fixed separators (row format) output. The backup does not affect the DML operation of the Backup object by other users. This article mainly introduces the logical backup tools provided by PostgreSQL, Pg_dump, Pg_
replication and have shown how data is replicated synchronously. We also described how to change the durability requirements by modifying the operating parameters of PostgreSQL. PostgreSQL gives the user the choice of how to replicate the transaction, and the level of durability required for a particular transactional replication.In the next chapter, we'll drill
script will be executed at each restart point. So what is the beginning of the heavy? Each time PostgreSQL transitions from file-based replay to stream-based replay, you are facing a heavy starting point. In fact, starting a stream copy again is considered to be a boot point.Once the start point arrives, you can have PostgreSQL perform some cleanup (or anything else). It is easy to clean out old xlog or tr
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): File "oracle_mon.py", line 306, in Check t
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 this is not worth mentioning, but if your set
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 Walreceiver proced Fire up:Log:trigger file foun
required:shared_preload_libraries = ' BDR 'Wal_level = ' logical 'Track_commit_timestamp = Onmax_connections = 100Max_wal_senders = 10Max_replication_slots = 10Max_worker_processes = 10The first thing to do is to load the BDR module into PostgreSQL. It contains important infrastructure for replication. Next, you must enable
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