首页 > 大数据 > > Hadoop 2.x(YARN)安装配置LZO
今天尝试在Hadoop 2.x(YARN)上安装和配置LZO,遇到了很多坑,网上的资料都是基于Hadoop 1.x的,基本没有对于Hadoop 2.x上应用LZO,我在这边记录整个安装配置过程
1. 安装LZO
下载lzo 2.06版本,编译64位版本,同步到集群中
wget http://www.oberhumer.com/opensource/lzo/download/lzo-2.06.tar.gz
export CFLAGS=-m64
./configure -enable-shared -prefix=/usr/local/hadoop/lzo/
make && make test && make install
同步/usr/local/hadoop/lzo/到整个集群上
2. 安装Hadoop-LZO
git clone https://github.com/twitter/hadoop-lzo.git
export CFLAGS=-m64
export CXXFLAGS=-m64
export C_INCLUDE_PATH=/usr/local/hadoop/lzo/include
export LIBRARY_PATH=/usr/local/hadoop/lzo/lib
mvn clean package -Dmaven.test.skip=true
tar -cBf - -C target/native/Linux-amd64-64/lib . | tar -xBvf - -C /usr/local/hadoop/hadoop-2.1.0-beta/lib/native/
cp target/hadoop-lzo-0.4.18-SNAPSHOT.jar /usr/local/hadoop/hadoop-2.1.0-beta/share/hadoop/common/
-rw-r--r-- 1 hadoop hadoop 104206 Sep 2 10:44 libgplcompression.a
-rw-rw-r-- 1 hadoop hadoop 1121 Sep 2 10:44 libgplcompression.la
lrwxrwxrwx 1 hadoop hadoop 26 Sep 2 10:47 libgplcompression.so -> libgplcompression.so.0.0.0
lrwxrwxrwx 1 hadoop hadoop 26 Sep 2 10:47 libgplcompression.so.0 -> libgplcompression.so.0.0.0
-rwxrwxr-x 1 hadoop hadoop 67833 Sep 2 10:44 libgplcompression.so.0.0.0
-rw-rw-r-- 1 hadoop hadoop 835968 Aug 29 17:12 libhadoop.a
-rw-rw-r-- 1 hadoop hadoop 1482132 Aug 29 17:12 libhadooppipes.a
lrwxrwxrwx 1 hadoop hadoop 18 Aug 29 17:12 libhadoop.so -> libhadoop.so.1.0.0
-rwxrwxr-x 1 hadoop hadoop 465801 Aug 29 17:12 libhadoop.so.1.0.0
-rw-rw-r-- 1 hadoop hadoop 580384 Aug 29 17:12 libhadooputils.a
-rw-rw-r-- 1 hadoop hadoop 273642 Aug 29 17:12 libhdfs.a
lrwxrwxrwx 1 hadoop hadoop 16 Aug 29 17:12 libhdfs.so -> libhdfs.so.0.0.0
-rwxrwxr-x 1 hadoop hadoop 181171 Aug 29 17:12 libhdfs.so.0.0.0
将hadoop-lzo-0.4.18-SNAPSHOT.jar和/usr/local/hadoop/hadoop-2.1.0-beta/lib/native/
同步到整个集群中
export LD_LIBRARY_PATH=/usr/local/hadoop/lzo/lib
core-site加入
io.compression.codecs org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,com.hadoop.compression.lzo.LzoCodec,com.hadoop.compression.lzo.LzopCodec,org.apache.hadoop.io.compress.BZip2Codec
io.compression.codec.lzo.class
com.hadoop.compression.lzo.LzoCodec
mapred-site.xml加入
mapred.compress.map.output
true
mapred.map.output.compression.codec
com.hadoop.compression.lzo.LzoCodec
mapred.child.env
LD_LIBRARY_PATH=/usr/local/hadoop/lzo/lib
2013-09-02 11:20:12,004 INFO [main] com.hadoop.compression.lzo.GPLNativeCodeLoader: Loaded native gpl library
2013-09-02 11:20:12,006 WARN [main] com.hadoop.compression.lzo.LzoCompressor: java.lang.UnsatisfiedLinkError: Cannot load liblzo2.so.2 (liblzo2.so.2: cannot open shared object file: No such file or directory)!
2013-09-02 11:20:12,006 ERROR [main] com.hadoop.compression.lzo.LzoCodec: Failed to load/initialize native-lzo library
同步hadoop-env.sh, core-site.xml, mapred-site.xml到集群 static {
if (GPLNativeCodeLoader.isNativeCodeLoaded()) {
nativeLzoLoaded = LzoCompressor.isNativeLzoLoaded() &&
LzoDecompressor.isNativeLzoLoaded();
if (nativeLzoLoaded) {
LOG.info("Successfully loaded & initialized native-lzo library [hadoop-lzo rev " + getRevisionHash() + "]");
} else {
LOG.error("Failed to load/initialize native-lzo library");
}
} else {
LOG.error("Cannot load native-lzo without native-hadoop");
}
}
Java_com_hadoop_compression_lzo_LzoCompressor_initIDs(
JNIEnv *env, jclass class
) {
// Load liblzo2.so
liblzo2 = dlopen(HADOOP_LZO_LIBRARY, RTLD_LAZY | RTLD_GLOBAL);
if (!liblzo2) {
char* msg = (char*)malloc(1000);
snprintf(msg, 1000, "%s (%s)!", "Cannot load " HADOOP_LZO_LIBRARY, dlerror());
THROW(env, "java/lang/UnsatisfiedLinkError", msg);
return;
}
LzoCompressor_clazz = (*env)->GetStaticFieldID(env, class, "clazz",
"Ljava/lang/Class;");
LzoCompressor_finish = (*env)->GetFieldID(env, class, "finish", "Z");
LzoCompressor_finished = (*env)->GetFieldID(env, class, "finished", "Z");
LzoCompressor_uncompressedDirectBuf = (*env)->GetFieldID(env, class,
"uncompressedDirectBuf",
"Ljava/nio/ByteBuffer;");
LzoCompressor_uncompressedDirectBufLen = (*env)->GetFieldID(env, class,
"uncompressedDirectBufLen", "I");
LzoCompressor_compressedDirectBuf = (*env)->GetFieldID(env, class,
"compressedDirectBuf",
"Ljava/nio/ByteBuffer;");
LzoCompressor_directBufferSize = (*env)->GetFieldID(env, class,
"directBufferSize", "I");
LzoCompressor_lzoCompressor = (*env)->GetFieldID(env, class,
"lzoCompressor", "J");
LzoCompressor_lzoCompressionLevel = (*env)->GetFieldID(env, class,
"lzoCompressionLevel", "I");
LzoCompressor_workingMemoryBufLen = (*env)->GetFieldID(env, class,
"workingMemoryBufLen", "I");
LzoCompressor_workingMemoryBuf = (*env)->GetFieldID(env, class,
"workingMemoryBuf",
"Ljava/nio/ByteBuffer;");
// record lzo library version
void* lzo_version_ptr = NULL;
LOAD_DYNAMIC_SYMBOL(lzo_version_ptr, env, liblzo2, "lzo_version");
liblzo2_version = (NULL == lzo_version_ptr) ? 0
: (jint) ((unsigned (__LZO_CDECL *)())lzo_version_ptr)();
}


CREATE TABLE lzo_test(
col String
)
STORED AS INPUTFORMAT "com.hadoop.mapred.DeprecatedLzoTextInputFormat"
OUTPUTFORMAT "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat";
下载lzop工具,load一个lzo文件进lzo_test表中,执行“select
* from lzo_test"和"select count(1) from lzo_test"正确hadoop jar /usr/local/hadoop/hadoop-2.1.0-beta/share/hadoop/common/hadoop-lzo-0.4.18-SNAPSHOT.jar com.hadoop.compression.lzo.DistributedLzoIndexer /user/hive/warehouse/lzo_test/
hadoop jar /usr/local/hadoop/hadoop-2.1.0-beta/share/hadoop/common/hadoop-lzo-0.4.18-SNAPSHOT.jar com.hadoop.compression.lzo.LzoIndexer /user/hive/warehouse/lzo_test/
原文作者:;如有侵权,请联系管理员删除。