1、存储文件的压缩比测试
1.1 测试数据
https://github.com/liufengji/Compression_Format_Data log.txt 大小为18.1 M
1.2 TextFile
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创建表,存储数据格式为TextFile
create table log_text ( track_time string, url string, session_id string, referer string, ip string, end_user_id string, city_id string ) row format delimited fields terminated by '\t' stored as textfile ;
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向表中加载数据
load data local inpath '/home/hadoop/log.txt' into table log_text ;
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查看表的数据量大小
dfs -du -h /user/hive/warehouse/log_text; +------------------------------------------------+--+ | DFS Output | +------------------------------------------------+--+ | 18.1 M /user/hive/warehouse/log_text/log.txt | +------------------------------------------------+--+
1.3 Parquet
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创建表,存储数据格式为 parquet
create table log_parquet ( track_time string, url string, session_id string, referer string, ip string, end_user_id string, city_id string ) row format delimited fields terminated by '\t' stored as parquet;
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向表中加载数据
insert into table log_parquet select * from log_text;
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查看表的数据量大小
dfs -du -h /user/hive/warehouse/log_parquet; +----------------------------------------------------+--+ | DFS Output | +----------------------------------------------------+--+ | 13.1 M /user/hive/warehouse/log_parquet/000000_0 | +----------------------------------------------------+--+
1.4 ORC
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创建表,存储数据格式为ORC
create table log_orc ( track_time string, url string, session_id string, referer string, ip string, end_user_id string, city_id string ) row format delimited fields terminated by '\t' stored as orc ;
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向表中加载数据
insert into table log_orc select * from log_text ;
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查看表的数据量大小
dfs -du -h /user/hive/warehouse/log_orc; +-----------------------------------------------+--+ | DFS Output | +-----------------------------------------------+--+ | 2.8 M /user/hive/warehouse/log_orc/000000_0 | +-----------------------------------------------+--+
1.5 存储文件的压缩比总结
ORC > Parquet > textFile
2、存储文件的查询速度测试
2.1 TextFile
select count(*) from log_text; +---------+--+ | _c0 | +---------+--+ | 100000 | +---------+--+ 1 row selected (16.99 seconds)
2.2 Parquet
select count(*) from log_parquet; +---------+--+ | _c0 | +---------+--+ | 100000 | +---------+--+ 1 row selected (17.994 seconds)
2.3 ORC
select count(*) from log_orc; +---------+--+ | _c0 | +---------+--+ | 100000 | +---------+--+ 1 row selected (15.943 seconds)
2.4 存储文件的查询速度总结
ORC > TextFile > Parquet
3、存储和压缩结合
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使用压缩的优势是可以最小化所需要的磁盘存储空间,以及减少磁盘和网络io操作
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官网地址
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ORC支持三种压缩:ZLIB,SNAPPY,NONE。最后一种就是不压缩,orc默认采用的是ZLIB压缩。
3.1 创建一个非压缩的的ORC存储方式表
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1、创建一个非压缩的的ORC表
create table log_orc_none ( track_time string, url string, session_id string, referer string, ip string, end_user_id string, city_id string ) row format delimited fields terminated by '\t' stored as orc tblproperties("orc.compress"="NONE") ;
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2、加载数据
insert into table log_orc_none select * from log_text ;
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3、查看表的数据量大小
dfs -du -h /user/hive/warehouse/log_orc_none; +----------------------------------------------------+--+ | DFS Output | +----------------------------------------------------+--+ | 7.7 M /user/hive/warehouse/log_orc_none/000000_0 | +----------------------------------------------------+--+
3.2 创建一个snappy压缩的ORC存储方式表
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1、创建一个snappy压缩的的ORC表
create table log_orc_snappy ( track_time string, url string, session_id string, referer string, ip string, end_user_id string, city_id string ) row format delimited fields terminated by '\t' stored as orc tblproperties("orc.compress"="SNAPPY") ;
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2、加载数据
insert into table log_orc_snappy select * from log_text ;
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3、查看表的数据量大小
dfs -du -h /user/hive/warehouse/log_orc_snappy; +------------------------------------------------------+--+ | DFS Output | +------------------------------------------------------+--+ | 3.8 M /user/hive/warehouse/log_orc_snappy/000000_0 | +------------------------------------------------------+--+
3.3 创建一个ZLIB压缩的ORC存储方式表
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不指定压缩格式的就是默认的采用ZLIB压缩
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可以参考上面创建的 log_orc 表
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查看表的数据量大小
dfs -du -h /user/hive/warehouse/log_orc; +-----------------------------------------------+--+ | DFS Output | +-----------------------------------------------+--+ | 2.8 M /user/hive/warehouse/log_orc/000000_0 | +-----------------------------------------------+--+
3.4 存储方式和压缩总结
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orc 默认的压缩方式ZLIB比Snappy压缩的还小。
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在实际的项目开发当中,hive表的数据存储方式一般选择:orc或parquet。
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由于snappy的压缩和解压缩 效率都比较高,压缩方式一般选择snappy。
来源:博客园
作者:lowi
链接:https://www.cnblogs.com/lojun/p/11396793.html