TiDB单机部署测试

为什么80%的码农都做不了架构师？>>>   

安装：

• Docker（17.06.0 及以上版本）
• Docker Compose
• Git

yum install docker
yum -y install epel-release
yum install docker-compose
yum install git

启动Docker

service docker start

下载tidb-docker-compose

git clone https://github.com/pingcap/tidb-docker-compose.git

创建并启动集群

cd tidb-docker-compose && docker-compose pull # Get the latest Docker images
docker-compose up -d

访问 PySpark并加载 TiSpark

向 TiDB 集群中加载一些样本数据：

$ docker-compose exec tispark-master bash
$ cd /opt/spark/data/tispark-sample-data
$ mysql -h tidb -u root < dss.ddl

当样本数据加载到 TiDB 集群之后，可以使用 docker-compose exec tispark-master /opt/spark/bin/pyspark 来访问 Spark。

$ docker-compose exec tispark-master /opt/spark/bin/pyspark

Python 2.7.14 (default, Dec 14 2017, 15:51:29) 
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /__ / .__/\_,_/_/ /_/\_\   version 2.1.1
      /_/

Using Python version 2.7.14 (default, Dec 14 2017 15:51:29)
SparkSession available as 'spark'.

from py4j.java_gateway import java_import
from pyspark.context import SparkContext

# We get a referenct to py4j Java Gateway
gw = SparkContext._gateway

java_import(gw.jvm, "org.apache.spark.sql.TiContext")

# Create a TiContext
ti = gw.jvm.TiContext(spark._jsparkSession)

# Map database
ti.tidbMapDatabase("TPCH_001", False, True)

# Query as usual
sql("select count(*) from customer").show()
+--------+
|count(1)|
+--------+
|    1500|
+--------+

转载于:https://my.oschina.net/aubao/blog/1858190