创建表
CREATE TABLE pokes (foo INT, bar STRING);
创建表并创建索引字段ds
CREATE TABLE invites (foo INT, bar STRING) PARTITIONED BY (ds
STRING);
显示所有表
SHOW TABLES;
按正条件（正则表达式）显示表，
SHOW TABLES ‘.*s‘;
表添加一列
ALTER TABLE pokes ADD COLUMNS (new_col INT);
添加一列并增加列字段注释
ALTER TABLE invites ADD COLUMNS (new_col2 INT COMMENT ‘a comment‘);
更改表名
ALTER TABLE events RENAME TO 3koobecaf;
删除列
DROP TABLE pokes;
元数据存储
将文件中的数据加载到表中
LOAD DATA LOCAL INPATH ‘./examples/files/kv1.txt‘ OVERWRITE INTO TABLE
pokes;
加载本地数据，同时给定分区信息
LOAD DATA LOCAL INPATH ‘./examples/files/kv2.txt‘ OVERWRITE INTO TABLE
invites PARTITION (ds=‘2008-08-15‘);
加载DFS数据 ，同时给定分区信息
LOAD DATA INPATH ‘/user/myname/kv2.txt‘ OVERWRITE INTO TABLE invites
PARTITION (ds=‘2008-08-15‘);
SQL 操作
按先件查询
SELECT a.foo FROM invites a WHERE a.ds=‘<DATE>‘;
将查询数据输出至目录
INSERT OVERWRITE DIRECTORY ‘/tmp/hdfs_out‘ SELECT a.* FROM invites a WHERE
a.ds=‘<DATE>‘;
将查询结果输出至本地目录
INSERT OVERWRITE LOCAL DIRECTORY ‘/tmp/local_out‘ SELECT a.* FROM pokes
a;
选择所有列到本地目录
INSERT OVERWRITE TABLE events SELECT a.* FROM profiles a;
INSERT OVERWRITE TABLE events SELECT a.* FROM profiles a WHERE a.key <
100;
INSERT OVERWRITE LOCAL DIRECTORY ‘/tmp/reg_3‘ SELECT a.* FROM events a;
INSERT OVERWRITE DIRECTORY ‘/tmp/reg_4‘ select a.invites, a.pokes FROM
profiles a;
INSERT OVERWRITE DIRECTORY ‘/tmp/reg_5‘ SELECT COUNT(1) FROM invites a WHERE
a.ds=‘<DATE>‘;
INSERT OVERWRITE DIRECTORY ‘/tmp/reg_5‘ SELECT a.foo, a.bar FROM invites
a;
INSERT OVERWRITE LOCAL DIRECTORY ‘/tmp/sum‘ SELECT SUM(a.pc) FROM pc1 a;
将一个表的统计结果插入另一个表中
FROM invites a INSERT OVERWRITE TABLE events SELECT a.bar, count(1) WHERE
a.foo > 0 GROUP BY a.bar;
INSERT OVERWRITE TABLE events SELECT a.bar, count(1) FROM invites a WHERE
a.foo > 0 GROUP BY a.bar;
JOIN的使用
FROM pokes t1 JOIN invites t2 ON (t1.bar = t2.bar) INSERT OVERWRITE TABLE
events SELECT t1.bar, t1.foo, t2.foo;
将多表数据插入到同一表中
FROM src
INSERT OVERWRITE TABLE dest1 SELECT src.* WHERE src.key < 100
INSERT OVERWRITE TABLE dest2 SELECT src.key, src.value WHERE src.key >=
100 and src.key < 200
INSERT OVERWRITE TABLE dest3 PARTITION(ds=‘2008-04-08‘, hr=‘12‘) SELECT
src.key WHERE src.key >= 200 and src.key < 300
INSERT OVERWRITE LOCAL DIRECTORY ‘/tmp/dest4.out‘ SELECT src.value WHERE
src.key >= 300;
将文件流直接插入文件
FROM invites a INSERT OVERWRITE TABLE events SELECT TRANSFORM(a.foo, a.bar)
AS (oof, rab) USING ‘/bin/cat‘ WHERE a.ds > ‘2008-08-09‘;
实际示例
创建一个表
CREATE TABLE u_data (
userid INT,
movieid INT,
rating INT,
unixtime STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ‘\t‘
STORED AS TEXTFILE;
下载示例数据文件，并解压缩
wget http://www.grouplens.org/system/files/ml-data.tar__0.gz
tar xvzf ml-data.tar__0.gz
加载数据到表中
LOAD DATA LOCAL INPATH ‘ml-data/u.data‘
OVERWRITE INTO TABLE u_data;
统计数据总量
SELECT COUNT(1) FROM u_data;
现在做一些复杂的数据分析
创建一个 weekday_mapper.py: 文件，作为数据按周进行分割
import sys
import datetime
for line in sys.stdin:
line = line.strip()
userid, movieid, rating, unixtime = line.split(‘\t‘)
生成数据的周信息
weekday = datetime.datetime.fromtimestamp(float(unixtime)).isoweekday()
print ‘\t‘.join([userid, movieid, rating, str(weekday)])
使用映射脚本
//创建表，按分割符分割行中的字段值
CREATE TABLE u_data_new (
userid INT,
movieid INT,
rating INT,
weekday INT)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ‘\t‘;
//将python文件加载到系统
add FILE weekday_mapper.py;
将数据按周进行分割
INSERT OVERWRITE TABLE u_data_new
SELECT
TRANSFORM (userid, movieid, rating, unixtime)
USING ‘python weekday_mapper.py‘
AS (userid, movieid, rating, weekday)
FROM u_data;
SELECT weekday, COUNT(1)
FROM u_data_new
GROUP BY weekday;