Hadoop配置参数介绍
Hadoop配置参数介绍
HowToConfigure
How To Configure Hadoop
Primary XML Files
Hadoop is configured with a set of files. The files are loaded in the order listed in the table below, with the lower files in the table overriding the higher ones:
|
Filename |
Description |
|
hadoop-default.xml |
Generic default values |
|
mapred-default.xml |
Site specific default values |
|
job.xml |
Configuration for a specific map/reduce job |
|
hadoop-site.xml |
Site specific value that can not be modified by the job |
Look up path
Configuration files are found via Java's Classpath. Only the first instance of each file is used. The $HADOOP_CONF_DIR is added by the bin/hadoop script to the front of the path. When installing Hadoop on a cluster, it is best to use a conf directory outside of the distribution. That allows you to easily update the release on the cluster without changing your configuration by mistake.
hadoop-default.xml
This file has the default values for many of the configuration variables that are used by Hadoop. This file should never be in $HADOOP_CONF_DIR so that the version in the hadoop-*.jar is used. (Otherwise, if a variable is added to this file in a new release, you won't have it defined.)
mapred-default.xml
This file should contain the majority of your site's customization of Hadoop. Although this file name is prefixed with mapred, the default settings for the user maps and reduces are controlled by it.
Some useful variables are:
|
Name |
Meaning |
|
dfs.block.size |
size in bytes of each data block in DFS |
|
io.sort.factor |
number of files input to each level in the merge sort |
|
io.sort.mb |
size of buffer to sort the reduce inputs in |
|
io.file.buffer.size |
number of bytes used for buffering io files |
|
mapred.reduce.parallel.copies |
number of threads fetching map outputs for each reduce |
|
dfs.replication |
number of replicas for each DFS block |
|
mapred.child.java.opts |
options passed to child task jvms |
|
mapred.min.split.size |
minimum number of bytes in a map input split |
|
mapred.output.compress |
Should the reduce outputs be compressed? |
job.xml
This file is never created explicitly by the user. The map/reduce application creates a 
JobConf, which is serialized when the job is submitted.
hadoop-site.xml
This file overrides any settings in the job.xml and therefore should be very minimal. Usually it just contains the address of the NameNode, the address of the JobTracker, and the port and working directories for the various servers.
Environment Variables
For the most part, you should only need to define $HADOOP_CONF_DIR. Other environment variables are defined in $HADOOP_CONF_DIR/hadoop-env.sh.
Variables in hadoop-env.sh, include:
|
Name |
Meaning |
|
JAVA_HOME |
Root of the Java installation |
|
HADOOP_HEAPSIZE |
MB of heap for the servers |
|
HADOOP_IDENT_STRING |
User name of the cluster |
|
HADOOP_OPTS |
Extra arguments to the JVM |
|
HADOOP_HOME |
Hadoop release directory |
|
HADOOP_LOG_DIR |
Directory for log files |
|
HADOOP_PID_DIR |
Directory to store the PID for the servers |
Log4j Configuration
Hadoop logs messages to Log4j by default. Log4j is configured via log4j.properties on the classpath. This file defines both what is logged and where. For applications, the default root logger is "INFO,console", which logs all message at level INFO and above to the console's stderr. Servers log to the "INFO,DRFA", which logs to a file that is rolled daily. Log files are named $HADOOP_LOG_DIR/hadoop-$HADOOP_IDENT_STRING-<server>.log.
For Hadoop developers, it is often convenient to get additional logging from particular classes. If you are working on the TaskTracker, for example, you would likely want
-
log4j.logger.org.apache.hadoop.mapred.TaskTracker=DEBUG
in your log4j.properties.