📅  最后修改于: 2020-12-02 05:29:59             🧑  作者: Mango
本章说明如何在系统中下载,安装和设置Apache Pig 。
在选择Apache Pig之前,必须在系统上安装Hadoop和Java。因此,在安装Apache Pig之前,请按照以下链接中给出的步骤安装Hadoop和Java-
http://www.tutorialspoint.com/hadoop/hadoop_enviornment_setup.htm
首先,从以下网站下载最新版本的Apache Pig- https://pig.apache.org/
打开Apache Pig网站的主页。在新闻部分下,单击链接发布页面,如以下快照所示。
单击指定的链接后,您将被重定向到Apache Pig Releases页面。在此页面的“下载”部分下,您将具有两个链接,分别是Pig 0.8和更高版本以及Pig 0.7和之前版本。单击链接Pig 0.8及更高版本,然后您将被重定向到具有一组镜像的页面。
选择并单击以下任一镜像,如下所示。
这些镜像会将您带到Pig Releases页面。该页面包含各种版本的Apache Pig。单击其中的最新版本。
在这些文件夹中,您将获得各种发行版的Apache Pig的源文件和二进制文件。下载Apache Pig 0.15, Pig0.15.0-src.tar.gz和pig-0.15.0.tar.gz的源文件和二进制文件的tar文件。
下载Apache Pig软件后,请按照以下步骤在Linux环境中安装它。
在安装了Hadoop,Java和其他软件的安装目录的目录中,创建一个名为Pig的目录。 (在我们的教程中,我们在名为Hadoop的用户中创建了Pig目录)。
$ mkdir Pig
提取下载的tar文件,如下所示。
$ cd Downloads/
$ tar zxvf pig-0.15.0-src.tar.gz
$ tar zxvf pig-0.15.0.tar.gz
将pig-0.15.0-src.tar.gz文件的内容移动到之前创建的Pig目录中,如下所示。
$ mv pig-0.15.0-src.tar.gz/* /home/Hadoop/Pig/
安装Apache Pig之后,我们必须对其进行配置。要进行配置,我们需要编辑两个文件-bashrc和pig.properties 。
在.bashrc文件中,设置以下变量-
PIG_HOME文件夹到Apache Pig的安装文件夹,
PATH环境变量到bin文件夹,以及
PIG_CLASSPATH环境变量到Hadoop安装的etc(配置)文件夹(包含core-site.xml,hdfs-site.xml和mapred-site.xml文件的目录)中。
export PIG_HOME = /home/Hadoop/Pig
export PATH = $PATH:/home/Hadoop/pig/bin
export PIG_CLASSPATH = $HADOOP_HOME/conf
在Pig的conf文件夹中,我们有一个名为pig.properties的文件。在pig.properties文件中,您可以设置各种参数,如下所示。
pig -h properties
支持以下属性-
Logging: verbose = true|false; default is false. This property is the same as -v
switch brief=true|false; default is false. This property is the same
as -b switch debug=OFF|ERROR|WARN|INFO|DEBUG; default is INFO.
This property is the same as -d switch aggregate.warning = true|false; default is true.
If true, prints count of warnings of each type rather than logging each warning.
Performance tuning: pig.cachedbag.memusage=; default is 0.2 (20% of all memory).
Note that this memory is shared across all large bags used by the application.
pig.skewedjoin.reduce.memusagea=; default is 0.3 (30% of all memory).
Specifies the fraction of heap available for the reducer to perform the join.
pig.exec.nocombiner = true|false; default is false.
Only disable combiner as a temporary workaround for problems.
opt.multiquery = true|false; multiquery is on by default.
Only disable multiquery as a temporary workaround for problems.
opt.fetch=true|false; fetch is on by default.
Scripts containing Filter, Foreach, Limit, Stream, and Union can be dumped without MR jobs.
pig.tmpfilecompression = true|false; compression is off by default.
Determines whether output of intermediate jobs is compressed.
pig.tmpfilecompression.codec = lzo|gzip; default is gzip.
Used in conjunction with pig.tmpfilecompression. Defines compression type.
pig.noSplitCombination = true|false. Split combination is on by default.
Determines if multiple small files are combined into a single map.
pig.exec.mapPartAgg = true|false. Default is false.
Determines if partial aggregation is done within map phase, before records are sent to combiner.
pig.exec.mapPartAgg.minReduction=. Default is 10.
If the in-map partial aggregation does not reduce the output num records by this factor, it gets disabled.
Miscellaneous: exectype = mapreduce|tez|local; default is mapreduce. This property is the same as -x switch
pig.additional.jars.uris=. Used in place of register command.
udf.import.list=. Used to avoid package names in UDF.
stop.on.failure = true|false; default is false. Set to true to terminate on the first error.
pig.datetime.default.tz=. e.g. +08:00. Default is the default timezone of the host.
Determines the timezone used to handle datetime datatype and UDFs.
Additionally, any Hadoop property can be specified.
通过键入version命令来验证Apache Pig的安装。如果安装成功,您将获得如下所示的Apache Pig版本。
$ pig –version
Apache Pig version 0.15.0 (r1682971)
compiled Jun 01 2015, 11:44:35