Hadoop添加LZO压缩支持

启用lzo的压缩方式对于小规模集群是很有用处，压缩比率大概能降到原始日志大小的1/3。同时解压缩的速度也比较快。

安装

准备jar包

1）先下载lzo的jar项目
https://github.com/twitter/hadoop-lzo/archive/master.zip

2）下载后的文件名是hadoop-lzo-master，它是一个zip格式的压缩包，先进行解压，然后用maven编译。生成hadoop-lzo-0.4.20。

3）将编译好后的hadoop-lzo-0.4.20.jar 放入hadoop-2.7.2/share/hadoop/common/

[root@bigdata-01 common]$ pwd
/export/servers/hadoop-2.7.4/share/hadoop/common
[root@bigdata-01 common]$ ls
hadoop-lzo-0.4.20.jar

4）scp同步hadoop-lzo-0.4.20.jar到其他节点

配置

1）core-site.xml增加配置支持LZO压缩

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>

<property>
<name>io.compression.codecs</name>
<value>
org.apache.hadoop.io.compress.GzipCodec,
org.apache.hadoop.io.compress.DefaultCodec,
org.apache.hadoop.io.compress.BZip2Codec,
org.apache.hadoop.io.compress.SnappyCodec,
com.hadoop.compression.lzo.LzoCodec,
com.hadoop.compression.lzo.LzopCodec
</value>
</property>
<property>
    <name>io.compression.codec.lzo.class</name>
    <value>com.hadoop.compression.lzo.LzoCodec</value>
</property>

</configuration>

2）scp同步core-site.xml到其他节点

测试

1）启动hive创建lzo表

CREATE TABLE lzo_test (
id STRING,
name STRING
)
partitioned by (
dt STRING
)
row format delimited
fields terminated by '\t'
STORED AS INPUTFORMAT "com.hadoop.mapred.DeprecatedLzoTextInputFormat"
OUTPUTFORMAT "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat";

2）导入数据

load data inpath '/xxx/xxx/2019-07-25' into table lzo_test partition(dt='2019-07-25');