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  • 适用于Citus文档的Sphinx源文件 生成HTML版本: 从安装Sphinx 克隆此存储库 产生HTML cd citus_docs make # open _build/index.html in your browser Sphinx安装注意:在OS X上,最好通过而非Homebrew安装sphinx...
  • os: ubuntu 16.04 db: postgresql 9.6.8 citus: 8.0 citus 版本 root@coor1:~# dpkg -l |grep -i citus ii postgresql-9.6-citus 8.0.0.PGDG-1.pgdg16.04+1 amd64 shardin...

    os: ubuntu 16.04
    db: postgresql 9.6.8
    citus: 8.0

    citus 版本

    root@coor1:~# dpkg -l |grep -i citus
    ii  postgresql-9.6-citus                  8.0.0.PGDG-1.pgdg16.04+1                   amd64        sharding and distributed joins for PostgreSQL
    
    
    peiybdb=# \timing
    peiybdb=# select * from pg_available_extensions where name like '%citus%';
     name  | default_version | installed_version |          comment           
    -------+-----------------+-------------------+----------------------------
     citus | 8.0-8           | 8.0-8             | Citus distributed database
    (1 row)
    
    Time: 1.438 ms
    
    

    citus 描述

    peiybdb=# \x
    Expanded display is on.
    peiybdb=# select * from pg_settings where name = 'citus.task_executor_type';
    -[ RECORD 1 ]---+-------------------------------------------------------------------------------------------------
    name            | citus.task_executor_type
    setting         | real-time
    unit            | 
    category        | Customized Options
    short_desc      | Sets the executor type to be used for distributed queries.
    extra_desc      | The master node chooses between two different executor types when executing a distributed query.
    The real-time executor is optimal for simple key-value lookup queries and queries that involve aggregations and/or co-located joins on multiple shards. 
    The task-tracker executor is optimal for long-running, complex queries that touch thousands of shards and/or that involve table repartitioning.
    context         | user
    vartype         | enum
    source          | session
    min_val         | 
    max_val         | 
    enumvals        | {real-time,task-tracker}
    boot_val        | real-time
    reset_val       | real-time
    sourcefile      | 
    sourceline      | 
    pending_restart | f
    
    Time: 0.754 ms
    
    

    extra_desc 列还是描述的挺清楚的.可以简单理解为 一个是为 oltp 环境准备的,一个是为 oltp 环境准备的.

    citus.task_executor_type (enum)
    Citus has two executor types for running distributed SELECT queries. The desired executor can be selected by setting this configuration parameter. 
    The accepted values for this parameter are:
    
    real-time: 
      The real-time executor is the default executor and is optimal when you require fast responses to queries that involve aggregations and co-located joins spanning across multiple shards.
    
    task-tracker: 
      The task-tracker executor is well suited for long running, complex queries which require shuffling of data across worker nodes and efficient resource management.
    
    This parameter can be set at run-time and is effective on the coordinator. 
    For more details about the executors, you can visit the Distributed Query Executor section of our documentation.
    
    
    peiybdb=# set citus.enable_repartition_joins = on;
    
    peiybdb=# set citus.task_executor_type='task-tracker';
    peiybdb=# set citus.task_executor_type='real-time'; 
    
    

    后面版本 real-time 升级成增强版 adaptive

    peiybdb=# set citus.task_executor_type='adaptive'; 
    
    
    citusdb=# \x
    Expanded display is on.
    citusdb=# select * from pg_settings where name like 'citus.task_executor_type%';
    -[ RECORD 1 ]---+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
    name            | citus.task_executor_type
    setting         | adaptive
    unit            | 
    category        | Customized Options
    short_desc      | Sets the executor type to be used for distributed queries.
    extra_desc      | The master node chooses between two different executor types when executing a distributed query.The adaptive executor is optimal for simple key-value lookup queries and queries that involve aggregations and/or co-located joins on multiple shards. The task-tracker executor is optimal for long-running, complex queries that touch thousands of shards and/or that involve table repartitioning.
    context         | user
    vartype         | enum
    source          | default
    min_val         | 
    max_val         | 
    enumvals        | {adaptive,real-time,task-tracker}
    boot_val        | adaptive
    reset_val       | adaptive
    sourcefile      | 
    sourceline      | 
    pending_restart | f
    
    

    参考:
    https://docs.citusdata.com/en/stable/develop/api_guc.html?highlight=enable_repartition_joins
    https://docs.citusdata.com/en/stable/develop/api_guc.html?highlight=task_executor_type

    展开全文
  • citus扩容实践

    2020-12-14 13:01:40
    分布式数据库中的扩容是必不可少的需求,citus企业版中可以进行动态扩容,社区版中尚不支持动态扩容。不过我们可以通过修改元数据表中的分片信息来实现类似的功能。 本次实验扩容前只有一个work节点,扩容成两个work...
  • citus-docker-with-extensions 具有默认的3节点群集的Citus docker,具有hll,topn和partman的预构建扩展。 启动citus 3节点群集。 docker-compose -p citus up docker-compose -p citus up --build docker-...
  • citus-5.2.2.tar.gz

    2020-01-13 12:04:18
    pg分布式工具,citus是PG的一个sharding插件,可以把PG变成一个分布式数据库。目前在苏宁有大量的生产应用跑在citus+pg的环境中。
  • Citus性能测试

    千次阅读 2018-02-28 12:24:05
    1.1.测试组:Citus with PG10 1+2 1.1.1.协调节点: CPU:单核2GHz RAM:2GB DISK:30GB HDD 主机名:citus IP地址:192.168.7.129 1.1.2.工作节点1: CPU:单核2GHz RAM:2GB DISK:30GB HDD 主机名...

    1.【测试环境】

    1.1.测试组:Citus with PG10 1+2

    1.1.1.协调节点:

    CPU:单核2GHz
    RAM:2GB
    DISK:30GB HDD
    主机名:citus
    IP地址:192.168.7.129

    1.1.2.工作节点1:

    CPU:单核2GHz
    RAM:2GB
    DISK:30GB HDD
    主机名:citus-w1
    IP地址:192.168.7.130

    1.1.3.工作节点2:

    CPU:单核2GHz
    RAM:2GB
    DISK:30GB HDD
    主机名:citus-w2
    IP地址:192.168.7.131

    1.1.4.Citus部署配置:

    两分片,单副本。

    1.2.对照组:PG10

    1.2.1.服务节点:

    CPU:单核2GHz
    RAM:2GB
    DISK:30GB HDD
    主机名:pg10host
    IP地址:192.168.7.132

    2.【测试方法】

    PgBench,TPC-B,记录数100万

    3.【测试过程】

    3.1.对照组环境部署与数据准备

    对照组是单机版PG10,所以不需要额外部署环境,数据准备采用了pgbench的initials。

    pgbench.exe -i -s 10 -h 192.168.7.132 -p 5432 -U postgres -d pgbench
    #参数说明
    #-i 初始化模式
    #-s 规模 即 10x100000 条账户记录

    用COPY方法取出数据给citus备用

    psql -h 192.168.7.132 -p 5432 -U postgres -d pgbench
    pgbench=# copy (select * from pgbench_tellers) to '/var/lib/pgsql/init/pgbench_tellers.txt';
    COPY 100
    pgbench=# copy (select * from pgbench_accounts) to '/var/lib/pgsql/init/pgbench_accounts.txt';
    COPY 1000000
    pgbench=# copy (select * from pgbench_branches) to '/var/lib/pgsql/init/pgbench_branches.txt';
    COPY 10

    将文件pgbench_tellers.txt、pgbench_accounts.txt、pgbench_branches.txt从pg10host拷贝到citus协调节点上。

    3.2.对照组环境部署与数据准备

    3.2.1.创建数据库,创建citus插件,部署citus

    在3个节点上:

    psql -h 192.168.7.129/130/131 -p 5432 -U postgres
    pgbench=# drop database pgbench;
    pgbench=# create database pgbench;
    psql -h 192.168.7.129/130/131 -p 5432 -U postgres -d pgbench
    pgbench=# create extension citus;

    在协调节点上:

    psql -h 192.168.7.129 -p 5432 -U postgres -d pgbench 
    pgbench=# SELECT * from master_add_node('192.168.7.130', 5432);
    pgbench=# SELECT * from master_add_node('192.168.7.131', 5432);
    pgbench=# SELECT * FROM master_get_active_worker_nodes();
    3.2.2.创建表

    在协调节点上:

    psql -h 192.168.7.129 -p 5432 -U postgres -d pgbench
    
    pgbench=# drop table pgbench_accounts;
    pgbench=# drop table pgbench_branches;
    pgbench=# drop table pgbench_history;
    pgbench=# drop table pgbench_tellers;
    
    pgbench=# CREATE TABLE pgbench_accounts
                (
                  aid integer NOT NULL,
                  bid integer,
                  abalance integer,
                  filler character(84),
                  CONSTRAINT pgbench_accounts_pkey PRIMARY KEY (aid)
                )
                WITH (
                  FILLFACTOR=100, 
                  OIDS=FALSE
                );
                ALTER TABLE pgbench_accounts
                  OWNER TO postgres;
    
    
    pgbench=# CREATE TABLE pgbench_branches
                (
                  bid integer NOT NULL,
                  bbalance integer,
                  filler character(88),
                  CONSTRAINT pgbench_branches_pkey PRIMARY KEY (bid)
                )
                WITH (
                  FILLFACTOR=100, 
                  OIDS=FALSE
                );
                ALTER TABLE pgbench_branches
                  OWNER TO postgres;
    
    
    pgbench=# CREATE TABLE pgbench_history
                (
                  tid integer,
                  bid integer,
                  aid integer,
                  delta integer,
                  mtime timestamp without time zone,
                  filler character(22)
                )
                WITH (
                  OIDS=FALSE
                );
                ALTER TABLE pgbench_history
                  OWNER TO postgres;
    
    
    pgbench=# CREATE TABLE pgbench_tellers
                (
                  tid integer NOT NULL,
                  bid integer,
                  tbalance integer,
                  filler character(84),
                  CONSTRAINT pgbench_tellers_pkey PRIMARY KEY (tid)
                )
                WITH (
                  FILLFACTOR=100, 
                  OIDS=FALSE
                );
                ALTER TABLE pgbench_tellers
                  OWNER TO postgres;
    3.3.3.并设置分片(两分片,单副本)

    在协调节点上:

    pgbench=# SELECT master_create_distributed_table('pgbench_accounts', 'aid', 'hash');
    pgbench=# SELECT master_create_distributed_table('pgbench_branches', 'bid', 'hash');
    pgbench=# SELECT master_create_distributed_table('pgbench_history', 'mtime', 'hash');
    pgbench=# SELECT master_create_distributed_table('pgbench_tellers', 'tid', 'hash');
    pgbench=# SELECT master_create_worker_shards('pgbench_accounts', 2, 1);
    pgbench=# SELECT master_create_worker_shards('pgbench_branches', 2, 1);
    pgbench=# SELECT master_create_worker_shards('pgbench_history', 2, 1);
    pgbench=# SELECT master_create_worker_shards('pgbench_tellers', 2, 1);
    
    pgbench=# SELECT * from pg_dist_shard_placement;
    3.3.4.数据准备

    将刚才COPY出的数据复制到citus协调节点,用COPY命令导入数据

    psql -h 192.168.7.129 -p 5432 -U postgres -d pgbench
    pgbench=# copy pgbench_tellers from '/var/lib/pgsql/init/pgbench_tellers.txt';
    COPY 100
    pgbench=# copy pgbench_branches from '/var/lib/pgsql/init/pgbench_branches.txt';
    COPY 10
    pgbench=# copy pgbench_accounts from '/var/lib/pgsql/init/pgbench_accounts.txt';
    COPY 1000000
    
    pgbench=# vacuum analyze pgbench_branches;
    pgbench=# vacuum analyze pgbench_tellers;
    pgbench=# vacuum analyze pgbench_accounts;
    pgbench=# vacuum analyze pgbench_history;

    4.【开始测试】

    4.1.测试组

    pgbench.exe -c 50 -j 10 -M prepared -n -s 10 -T 60 -r -h 192.168.7.129 -p 5432 -U postgres -d pgbench> E:\pgbench_all.out  2>&1

    4.2.对照组

    pgbench.exe -c 50 -j 10 -M prepared -n -s 10 -T 60 -r -h 192.168.7.132 -p 5432 -U postgres -d pgbench> E:\pgbench_all.out  2>&1
    #参数说明:
    #-c 客户端并发数
    #-j 线程数
    #-M 简单模式/扩展模式/预备模式
    #-n 不做vacuum
    #-s 规模
    #-T 持续时间
    #-r 报告

    5.【测试结果】

    5.1.测试组Citus

    pghost: 192.168.7.129 pgport: 5432 nclients: 50 duration: 60 dbName: pgbench
    transaction type: TPC-B (sort of)
    scaling factor: 10
    query mode: prepared
    number of clients: 50
    number of threads: 10
    duration: 60 s
    number of transactions actually processed: 15564
    latency average: 192.753 ms
    tps = 258.061287 (including connections establishing)
    tps = 258.262831 (excluding connections establishing)
    statement latencies in milliseconds:
        0.020357    \set nbranches 1 * :scale
        0.014827    \set ntellers 10 * :scale
        0.011903    \set naccounts 100000 * :scale
        0.017210    \setrandom aid 1 :naccounts
        0.016534    \setrandom bid 1 :nbranches
        0.013833    \setrandom tid 1 :ntellers
        0.016387    \setrandom delta -5000 5000
        4.548151    BEGIN;
        18.692651   UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;
        15.102640   SELECT abalance FROM pgbench_accounts WHERE aid = :aid;
        42.506431   UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;
        77.037080   UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;
        5.961420    INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);
        28.680671   END;
    

    5.2.对照组PG10

    pghost: 192.168.7.132 pgport: 5432 nclients: 50 duration: 60 dbName: pgbench
    transaction type: TPC-B (sort of)
    scaling factor: 10
    query mode: prepared
    number of clients: 50
    number of threads: 10
    duration: 60 s
    number of transactions actually processed: 41387
    latency average: 72.487 ms
    tps = 688.209654 (including connections establishing)
    tps = 688.786509 (excluding connections establishing)
    statement latencies in milliseconds:
        0.016704    \set nbranches 1 * :scale
        0.015198    \set ntellers 10 * :scale
        0.011359    \set naccounts 100000 * :scale
        0.016007    \setrandom aid 1 :naccounts
        0.015096    \setrandom bid 1 :nbranches
        0.012979    \setrandom tid 1 :ntellers
        0.014853    \setrandom delta -5000 5000
        4.223193    BEGIN;
        2.817537    UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;
        6.485673    SELECT abalance FROM pgbench_accounts WHERE aid = :aid;
        15.400302   UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;
        30.805555   UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;
        1.907898    INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);
        10.506634   END;
    展开全文
  • Citus初步测试

    千次阅读 2018-02-28 11:02:46
    Citus部署配置: Coordinator X 1 (192.168.7.129) Worker X 2 (192.168.7.130,192.168.7.131) 基于上一篇文章安装部署完Citus后。用psql命令登陆Coordinator节点: psql -h 192.168.7.1...

    服务器主机配置:
    CPU:单核2GHz
    RAM:2GB
    DISK:30GB HDD

    Citus部署配置:
    Coordinator X 1 (192.168.7.129)
    Worker X 2 (192.168.7.130,192.168.7.131)

    基于上一篇文章安装部署完Citus后。用psql命令登陆Coordinator节点:

    psql -h 192.168.7.129 -p 5432 -U postgres

    执行下列SQL语句

    --创建表
    create table test_table(id int, name varchar(16));
    --表分片
    SELECT master_create_distributed_table('test_table', 'id', 'hash');
    --设定分片个数(2)及每个分片副本数(2)
    SELECT master_create_worker_shards('test_table', 2, 2);
    INSERT INTO test_table VALUES(1,'a');
    INSERT INTO test_table VALUES(2,'b');
    INSERT INTO test_table VALUES(3,'c');
    INSERT INTO test_table VALUES(4,'d');
    
    --集群管理
    --查看work节点
    SELECT * from master_get_active_worker_nodes();
    --元数据查看
    SELECT * from master_get_table_metadata('test_table');
    --分区查看
    SELECT * from pg_dist_partition;
    --分片查看
    SELECT * from pg_dist_shard;
    --分片分布查看
    SELECT * from pg_dist_shard_placement;
    
    select * from test_table;
     id | name
    ----+------
      1 | a
      3 | c
      4 | d
      2 | b
    (4 行记录)

    当停止一个worker_02(192.168.7.131)后,Coordinator仍然能够正常连接,数据也能正常取到,但是执行SQL查询时会出现警告,可以推断出其中的数据是从worker_01(192.168.7.131)上的副本中取得的。

    select * from test_table;
    WARNING:  connection error: 192.168.7.131:5432
    描述:  could not connect to server: No route to host
            Is the server running on host "192.168.7.131" and accepting
            TCP/IP connections on port 5432?
     id | name
    ----+------
      1 | a
      3 | c
      4 | d
      2 | b
    (4 行记录)

    当把两个worker都停止后,Coordinator仍然能够正常连接,但是SQL查询已经取不到数据了。

    select * from test_table;
    WARNING:  connection error: 192.168.7.131:5432
    描述:  could not connect to server: No route to host
            Is the server running on host "192.168.7.131" and accepting
            TCP/IP connections on port 5432?
    WARNING:  could not establish asynchronous connection after 5000 ms
    WARNING:  connection error: 192.168.7.131:5432
    描述:  could not connect to server: No route to host
            Is the server running on host "192.168.7.131" and accepting
            TCP/IP connections on port 5432?
    WARNING:  could not establish asynchronous connection after 5000 ms
    WARNING:  connection error: 192.168.7.131:5432
    描述:  could not connect to server: No route to host
            Is the server running on host "192.168.7.131" and accepting
            TCP/IP connections on port 5432?
    ERROR:  failed to execute task 4
    展开全文
  • Citus入门与生产实践 讲座资料
  • citus 之一 setup

    2018-11-12 15:02:56
    citus: postgresql-9.6-citus 8.0.0 citus 是 postgresql 一种分库分表解决方案。是作为 extension使用的。 数据库的实例分为两类: master 节点: 存储数据库分表的元数据,不存储实际的数据。 worker 节点: ...

    os: ubuntu 16.04
    postgresql: 9.6.8
    citus: postgresql-9.6-citus 8.0.0

    What is Citus?
    Citus is basically worry-free Postgres that is built to scale out. It’s an extension to Postgres that distributes data and queries in a cluster of multiple machines. As an extension (rather than a fork), Citus supports new PostgreSQL releases, allowing users to benefit from new features while maintaining compatibility with existing PostgreSQL tools.

    Citus horizontally scales PostgreSQL across multiple machines using sharding and replication. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.

    Available in Three Ways:

    As open source to add to existing Postgres servers
    On-premise with additional enterprise grade security and cluster management tools
    As a fully-managed database as a service, called Citus Cloud

    citus 是 postgresql 一种分库分表解决方案。是作为 extension使用的。

    数据库的实例分为两类:

    coordinator 节点: 存储数据库分表的元数据,不存储实际的数据。
    worker 节点: 真实存储数据,是shard节点。

    用户只连接 coordinator 节点,由 coordinator 解析sql,发给 worker节点执行,执行结果再返回给 coordinator 节点。

    ip规划如下:

    192.168.0.92 pgsql1 --coordinator 节点

    192.168.0.90 pgsql2 --worker 节点
    192.168.0.88 pgsql3 --worker 节点

    生产环境一定要创建各个节点的salve节点,必须创建。

    安装好 postgresql 9.6

    剩下的参考其它blog

    # vi /etc/hosts
    192.168.0.92 pgsql1
    
    192.168.0.90 pgsql2
    192.168.0.88 pgsql3
    
    

    下载安装 citus

    所有节点都需要操作
    使用 pgdg 源

    # vi /etc/apt/sources.list.d/pgdg.list
    deb http://apt.postgresql.org/pub/repos/apt/ xenial-pgdg main
    
    # wget --quiet -O - https://www.postgresql.org/media/keys/ACCC4CF8.asc | sudo apt-key add -
    # apt-get update
    # apt -y install postgresql-9.6-citus
    
    

    或者使用 citus 源

    # curl https://install.citusdata.com/community/deb.sh | sudo bash
    # apt update
    # apt -y install postgresql-9.6-citus-8.0
    
    

    列出一些相关的文件及及文件

    # dpkg -L postgresql-9.6-citus
    
    /usr/include/postgresql/9.6/server
    /usr/include/postgresql/9.6/server/citus_version.h
    /usr/include/postgresql/9.6/server/distributed/*
    
    /usr/share/postgresql/9.6
    /usr/share/postgresql/9.6/extension
    /usr/share/postgresql/9.6/extension/citus*.sql
    /usr/share/postgresql/9.6/extension/citus.control
    
    /usr/lib/postgresql/9.6/lib/citus.so
    
    

    查看 postgres 用户环境变量
    所有节点都需要操作

    # su - postgres
    $ cat ~/.profile
    
    

    调整参数

    所有节点都需要操作

    # vi /etc/postgresql/9.6/main/postgresql.conf
    shared_preload_libraries = 'citus,pg_stat_statements'
    
    # /etc/init.d/postgresql restart
    
    

    配置 citus

    所有节点都需要操作

    # su - postgres
    postgres@pgsql1:~$ psql
    psql (9.6.8)
    Type "help" for help.
    postgres=# select * from pg_available_extensions where name like '%citus%';
     name  | default_version | installed_version |          comment           
    -------+-----------------+-------------------+----------------------------
     citus | 8.0-8           |                   | Citus distributed database
    (1 row)
    
    

    由于 extension 是针对 database 级别的,所以需要先创建指定的业务数据库和 extension。
    所有节点都需要操作

    $ psql  
    psql (9.6.8)
    SSL connection (protocol: TLSv1.2, cipher: ECDHE-RSA-AES256-GCM-SHA384, bits: 256, compression: off)
    Type "help" for help.
    
    postgres=# create user cituser with superuser; 
    postgres=# alter user cituser with password 'citusercituser';
    postgres=# create database citusdb with owner = cituser;
    postgres=# \q
    
    
    $ psql -h 127.0.0.1 -U cituser citusdb -c "create extension citus;"
    
    
    citusdb=# \dx
                     List of installed extensions
      Name   | Version |   Schema   |         Description          
    ---------+---------+------------+------------------------------
     citus   | 8.0-8   | pg_catalog | Citus distributed database
     plpgsql | 1.0     | pg_catalog | PL/pgSQL procedural language
    (2 rows)
    
    citusdb=# \dn
      List of schemas
      Name  |  Owner   
    --------+----------
     citus  | postgres
     public | postgres
    (2 rows)
    
    

    配置 pg_hba.conf
    所有节点都需要操作

    $ vi /etc/postgresql/9.6/main/pg_hba.conf
    host    all             cituser         192.168.0.92/32            trust
    host    all             cituser         192.168.0.90/32            trust
    host    all             cituser         192.168.0.88/32            trust
    
    $ psql -c "select pg_reload_conf();"
    
    

    注意,pgsql2、pgsql3 是限定用户访问的,用户只能连接 pgsql1 。

    plsql1节点上添加 work节点

    
    $ psql -h 192.168.0.92 -U cituser citusdb
    Password for user cituser: 
    psql (9.6.8)
    SSL connection (protocol: TLSv1.2, cipher: ECDHE-RSA-AES256-GCM-SHA384, bits: 256, compression: off)
    Type "help" for help.
    
    citusdb=# select * from master_add_node('192.168.0.90',5432);
    citusdb=# select * from master_add_node('192.168.0.88',5432);
    
    citusdb=# select * from master_get_active_worker_nodes();
      node_name   | node_port 
    --------------+-----------
     192.168.0.88 |      5432
     192.168.0.90 |      5432
    (2 rows)
    
    

    安装结束,下一篇blog介绍下如何创建表。

    参考:
    https://www.citusdata.com/
    https://docs.citusdata.com/en/v8.0/
    https://docs.citusdata.com/en/stable/index.html

    https://github.com/citusdata/citus

    展开全文
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