postgresql streaming replication

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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 asynchronous replication solution for PostgreSQL

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: Memory: 32g,cpu:8 Core, ip:192.168.122.101 Standb

Streaming replication slots in PostgreSQL 9.4

Streaming replication Slots is a pending feature in PostgreSQL 9.4, as part of the logical changeset extraction feature.What is they for, what does need to know, what changes?What is replication slots?Streaming replication slots i

Configure a Streaming Replication cluster in PostgreSQL

Running Environment: Primary: 192.168.111.150Standby: 192.168.111.15119425111.152os: CentOS5.8PostgreSQL: 9.1.2 or later. Streaming Replication is supported. PostgreSQL cache details Compiling PostgreSQL on Windows Configuration and installation of LAPP (Linux + Apache + PostgreSQL

PostgreSQL replication cluster overview, PostgreSQL replication Cluster

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

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

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

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

The fourth chapter of PostgreSQL replication set up asynchronous replication (7)

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

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

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

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

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) database system. Other parts of the book, you will see in many ways how the

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

Use pg_basebackup to build a PostgreSQL stream replication Environment

) ------------------------------------ Lili split line ------------------------------------ Install the PostgreSQL 9.3.5 database in Ubuntu Server 14.04 Install PostgreSQL 6.3 on yum in CentOS 9.3 PostgreSQL cache details Compiling PostgreSQL on Windows Configuration and installation of LAPP (Linux + Apache +

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

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

Asynchronous stream replication of PostgreSQL master-Slave implementation

one of the ways that PostgreSQL master-slave replication is implemented:Standby-based asynchronous stream replication, which is a nice feature provided after the postgresql9.x version (2010.9), similar functionality is available in Oracle after 11g for active dataguard and SQL Server Log shipping provided after version 2012, here again for PG applause, is really

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

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

The fifth chapter of PostgreSQL replication set up synchronous replication (3)

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

PostgreSQL high availability, load balancing, replication and cluster scenario introduction

middleware code. Business Solutions Because PostgreSQL is open source and easily extensible, many companies have created a commercially closed source solution based on PostgreSQL, providing unique failover, replication, and load balancing capabilities. Feature Shared Disk Failover File System Repli

The fourth chapter of PostgreSQL replication set up asynchronous replication (6)

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

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