zoukankan      html  css  js  c++  java
  • HIVE高级(8):优化(8) Explain 查看执行计划(二)

    1 创建测试用表

    1)建大表、小表和 JOIN 后表的语句
    // 创建大表
    create table bigtable(id bigint, t bigint, uid string, keyword string, 
    url_rank int, click_num int, click_url string) row format delimited 
    fields terminated by '	';
    
    // 创建小表
    create table smalltable(id bigint, t bigint, uid string, keyword string, 
    url_rank int, click_num int, click_url string) row format delimited 
    fields terminated by '	';
    
    // 创建 JOIN 后表
    create table jointable(id bigint, t bigint, uid string, keyword string, 
    url_rank int, click_num int, click_url string) row format delimited 
    fields terminated by '	';
    2)分别向大表和小表中导入数据
    hive (default)> load data local inpath '/opt/module/data/bigtable' into 
    table bigtable;
    hive (default)> load data local inpath '/opt/module/data/smalltable' into 
    table smalltable;

    2 基本语法

    EXPLAIN [EXTENDED | DEPENDENCY | AUTHORIZATION] query-sql

    3 案例实操

    1)查看下面这条语句的执行计划
    hive (default)> explain select * from bigtable;
    hive (default)> explain select click_url, count(*) ct from bigtable group 
    by click_url;
    2)查看详细执行计划
    hive (default)> explain extended select * from bigtable;
    hive (default)> explain extended select click_url, count(*) ct from 
    bigtable group by click_url;

    本文来自博客园,作者:秋华,转载请注明原文链接:https://www.cnblogs.com/qiu-hua/p/15143724.html

  • 相关阅读:
    MyBatis_2
    JDBC(java database connectivity)
    异常的各种情况
    Spring(一)
    SpringMVC(四)
    SpringMVC(三)
    SpringMVC(二)
    springMVC文件上传、拦截器、数据校验
    springMVC数据相关
    初步接触springMVC
  • 原文地址:https://www.cnblogs.com/qiu-hua/p/15143724.html
Copyright © 2011-2022 走看看