527 lines
20 KiB
Bash
Executable File
527 lines
20 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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set -e
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function usage {
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echo "Usage: ${0} [options] /path/to/component/bin-install /path/to/hadoop/executable /path/to/hadoop/hadoop-yarn-server-tests-tests.jar /path/to/hadoop/hadoop-mapreduce-client-jobclient-tests.jar /path/to/hadoop/hadoop-yarn-server-timelineservice.jar"
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echo ""
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echo " --zookeeper-data /path/to/use Where the embedded zookeeper instance should write its data."
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echo " defaults to 'zk-data' in the working-dir."
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echo " --working-dir /path/to/use Path for writing configs and logs. must exist."
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echo " defaults to making a directory via mktemp."
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echo " --hadoop-client-classpath /path/to/some.jar:/path/to/another.jar classpath for hadoop jars."
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echo " defaults to 'hadoop classpath'"
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echo " --hbase-client-install /path/to/unpacked/client/tarball if given we'll look here for hbase client jars instead of the bin-install"
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echo " --force-data-clean Delete all data in HDFS and ZK prior to starting up hbase"
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echo " --single-process Run as single process instead of pseudo-distributed"
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echo ""
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exit 1
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}
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# if no args specified, show usage
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if [ $# -lt 5 ]; then
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usage
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fi
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# Get arguments
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declare component_install
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declare hadoop_exec
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declare working_dir
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declare zk_data_dir
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declare clean
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declare distributed="true"
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declare hadoop_jars
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declare hbase_client
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while [ $# -gt 0 ]
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do
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case "$1" in
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--working-dir) shift; working_dir=$1; shift;;
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--force-data-clean) shift; clean="true";;
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--zookeeper-data) shift; zk_data_dir=$1; shift;;
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--single-process) shift; distributed="false";;
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--hadoop-client-classpath) shift; hadoop_jars="$1"; shift;;
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--hbase-client-install) shift; hbase_client="$1"; shift;;
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--) shift; break;;
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-*) usage ;;
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*) break;; # terminate while loop
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esac
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done
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# should still have where component checkout is.
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if [ $# -lt 5 ]; then
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usage
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fi
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component_install="$(cd "$(dirname "$1")"; pwd)/$(basename "$1")"
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hadoop_exec="$(cd "$(dirname "$2")"; pwd)/$(basename "$2")"
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yarn_server_tests_test_jar="$(cd "$(dirname "$3")"; pwd)/$(basename "$3")"
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mapred_jobclient_test_jar="$(cd "$(dirname "$4")"; pwd)/$(basename "$4")"
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yarn_server_timelineservice_jar="$(cd "$(dirname "$5")"; pwd)/$(basename "$5")"
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if [ ! -x "${hadoop_exec}" ]; then
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echo "hadoop cli does not appear to be executable." >&2
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exit 1
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fi
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if [ ! -d "${component_install}" ]; then
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echo "Path to HBase binary install should be a directory." >&2
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exit 1
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fi
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if [ ! -f "${yarn_server_tests_test_jar}" ]; then
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echo "Specified YARN server tests test jar is not a file." >&2
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exit 1
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fi
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if [ ! -f "${mapred_jobclient_test_jar}" ]; then
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echo "Specified MapReduce jobclient test jar is not a file." >&2
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exit 1
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fi
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if [ -z "${working_dir}" ]; then
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if ! working_dir="$(mktemp -d -t hbase-pseudo-dist-test)" ; then
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echo "Failed to create temporary working directory. Please specify via --working-dir" >&2
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exit 1
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fi
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else
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# absolutes please
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working_dir="$(cd "$(dirname "${working_dir}")"; pwd)/$(basename "${working_dir}")"
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if [ ! -d "${working_dir}" ]; then
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echo "passed working directory '${working_dir}' must already exist." >&2
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exit 1
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fi
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fi
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if [ -z "${zk_data_dir}" ]; then
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zk_data_dir="${working_dir}/zk-data"
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mkdir "${zk_data_dir}"
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else
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# absolutes please
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zk_data_dir="$(cd "$(dirname "${zk_data_dir}")"; pwd)/$(basename "${zk_data_dir}")"
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if [ ! -d "${zk_data_dir}" ]; then
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echo "passed directory for unpacking the source tarball '${zk_data_dir}' must already exist."
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exit 1
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fi
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fi
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if [ -z "${hbase_client}" ]; then
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hbase_client="${component_install}"
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else
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echo "Using HBase client-side artifact"
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# absolutes please
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hbase_client="$(cd "$(dirname "${hbase_client}")"; pwd)/$(basename "${hbase_client}")"
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if [ ! -d "${hbase_client}" ]; then
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echo "If given hbase client install should be a directory with contents of the client tarball." >&2
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exit 1
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fi
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fi
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if [ -n "${hadoop_jars}" ]; then
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declare -a tmp_jars
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for entry in $(echo "${hadoop_jars}" | tr ':' '\n'); do
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tmp_jars=("${tmp_jars[@]}" "$(cd "$(dirname "${entry}")"; pwd)/$(basename "${entry}")")
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done
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hadoop_jars="$(IFS=:; echo "${tmp_jars[*]}")"
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fi
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echo "You'll find logs and temp files in ${working_dir}"
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function redirect_and_run {
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log_base=$1
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shift
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echo "$*" >"${log_base}.err"
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"$@" >"${log_base}.out" 2>>"${log_base}.err"
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}
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(cd "${working_dir}"
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echo "Hadoop version information:"
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"${hadoop_exec}" version
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hadoop_version=$("${hadoop_exec}" version | head -n 1)
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hadoop_version="${hadoop_version#Hadoop }"
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if [ "${hadoop_version%.*.*}" -gt 2 ]; then
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"${hadoop_exec}" envvars
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else
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echo "JAVA_HOME: ${JAVA_HOME}"
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fi
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# Ensure that if some other Hadoop install happens to be present in the environment we ignore it.
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HBASE_DISABLE_HADOOP_CLASSPATH_LOOKUP="true"
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export HBASE_DISABLE_HADOOP_CLASSPATH_LOOKUP
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if [ -n "${clean}" ]; then
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echo "Cleaning out ZooKeeper..."
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rm -rf "${zk_data_dir:?}/*"
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fi
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echo "HBase version information:"
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"${component_install}/bin/hbase" version 2>/dev/null
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hbase_version=$("${component_install}/bin/hbase" version | head -n 1 2>/dev/null)
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hbase_version="${hbase_version#HBase }"
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if [ ! -s "${hbase_client}/lib/shaded-clients/hbase-shaded-mapreduce-${hbase_version}.jar" ]; then
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echo "HBase binary install doesn't appear to include a shaded mapreduce artifact." >&2
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exit 1
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fi
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if [ ! -s "${hbase_client}/lib/shaded-clients/hbase-shaded-client-${hbase_version}.jar" ]; then
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echo "HBase binary install doesn't appear to include a shaded client artifact." >&2
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exit 1
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fi
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if [ ! -s "${hbase_client}/lib/shaded-clients/hbase-shaded-client-byo-hadoop-${hbase_version}.jar" ]; then
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echo "HBase binary install doesn't appear to include a shaded client artifact." >&2
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exit 1
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fi
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echo "Writing out configuration for HBase."
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rm -rf "${working_dir}/hbase-conf"
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mkdir "${working_dir}/hbase-conf"
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if [ -f "${component_install}/conf/log4j.properties" ]; then
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cp "${component_install}/conf/log4j.properties" "${working_dir}/hbase-conf/log4j.properties"
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else
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cat >"${working_dir}/hbase-conf/log4j.properties" <<EOF
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# Define some default values that can be overridden by system properties
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hbase.root.logger=INFO,console
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# Define the root logger to the system property "hbase.root.logger".
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log4j.rootLogger=${hbase.root.logger}
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# Logging Threshold
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log4j.threshold=ALL
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# console
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log4j.appender.console=org.apache.log4j.ConsoleAppender
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log4j.appender.console.target=System.err
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log4j.appender.console.layout=org.apache.log4j.PatternLayout
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log4j.appender.console.layout.ConversionPattern=%d{ISO8601} %-5p [%t] %c{2}: %.1000m%n
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EOF
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fi
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cat >"${working_dir}/hbase-conf/hbase-site.xml" <<EOF
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<?xml version="1.0"?>
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<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
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<!--
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/**
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*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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-->
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<configuration>
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<property>
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<name>hbase.rootdir</name>
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<!-- We rely on the defaultFS being set in our hadoop confs -->
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<value>/hbase</value>
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</property>
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<property>
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<name>hbase.zookeeper.property.dataDir</name>
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<value>${zk_data_dir}</value>
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</property>
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<property>
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<name>hbase.cluster.distributed</name>
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<value>${distributed}</value>
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</property>
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</configuration>
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EOF
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if [ "true" = "${distributed}" ]; then
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cat >"${working_dir}/hbase-conf/regionservers" <<EOF
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localhost
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EOF
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fi
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function cleanup {
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echo "Shutting down HBase"
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HBASE_CONF_DIR="${working_dir}/hbase-conf/" "${component_install}/bin/stop-hbase.sh"
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if [ -f "${working_dir}/hadoop.pid" ]; then
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echo "Shutdown: listing HDFS contents"
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redirect_and_run "${working_dir}/hadoop_listing_at_end" \
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -ls -R /
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echo "Shutting down Hadoop"
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kill -6 "$(cat "${working_dir}/hadoop.pid")"
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fi
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}
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trap cleanup EXIT SIGQUIT
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echo "Starting up Hadoop"
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if [ "${hadoop_version%.*.*}" -gt 2 ]; then
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if [ ! -f "${yarn_server_timelineservice_jar}" ]; then
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echo "Specified YARN server timeline service jar is not a file." >&2
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exit 1
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fi
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HADOOP_CLASSPATH="${yarn_server_timelineservice_jar}":"${yarn_server_tests_test_jar}" "${hadoop_exec}" jar "${mapred_jobclient_test_jar}" minicluster -format -writeConfig "${working_dir}/hbase-conf/core-site.xml" -writeDetails "${working_dir}/hadoop_cluster_info.json" >"${working_dir}/hadoop_cluster_command.out" 2>"${working_dir}/hadoop_cluster_command.err" &
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else
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HADOOP_CLASSPATH="${yarn_server_tests_test_jar}" "${hadoop_exec}" jar "${mapred_jobclient_test_jar}" minicluster -writeConfig "${working_dir}/hbase-conf/core-site.xml" -writeDetails "${working_dir}/hadoop_cluster_info.json" >"${working_dir}/hadoop_cluster_command.out" 2>"${working_dir}/hadoop_cluster_command.err" &
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fi
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echo "$!" > "${working_dir}/hadoop.pid"
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sleep_time=2
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until [ -s "${working_dir}/hbase-conf/core-site.xml" ]; do
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printf '\twaiting for Hadoop to finish starting up.\n'
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sleep "${sleep_time}"
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sleep_time="$((sleep_time*2))"
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done
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if [ "${hadoop_version%.*.*}" -gt 2 ]; then
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echo "Verifying configs"
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" conftest
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fi
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if [ -n "${clean}" ]; then
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echo "Cleaning out HDFS..."
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -rm -r /hbase
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -rm -r example/
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -rm -r example-region-listing.data
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fi
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echo "Listing HDFS contents"
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redirect_and_run "${working_dir}/hadoop_cluster_smoke" \
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -ls -R /
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echo "Starting up HBase"
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HBASE_CONF_DIR="${working_dir}/hbase-conf/" "${component_install}/bin/start-hbase.sh"
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sleep_time=2
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until "${component_install}/bin/hbase" --config "${working_dir}/hbase-conf/" shell --noninteractive >"${working_dir}/waiting_hbase_startup.log" 2>&1 <<EOF
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count 'hbase:meta'
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EOF
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do
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printf '\tretry waiting for hbase to come up.\n'
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sleep "${sleep_time}"
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sleep_time="$((sleep_time*2))"
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done
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echo "Setting up table 'test:example' with 1,000 regions"
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"${hbase_client}/bin/hbase" --config "${working_dir}/hbase-conf/" shell --noninteractive >"${working_dir}/table_create.log" 2>&1 <<EOF
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create_namespace 'test'
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create 'test:example', 'family1', 'family2', {NUMREGIONS => 1000, SPLITALGO => 'UniformSplit'}
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EOF
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echo "writing out example TSV to example.tsv"
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cat >"${working_dir}/example.tsv" <<EOF
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row1 value8 value8
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row3 value2
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row2 value9
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row10 value1
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pow1 value8 value8
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pow3 value2
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pow2 value9
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pow10 value1
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paw1 value8 value8
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paw3 value2
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paw2 value9
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paw10 value1
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raw1 value8 value8
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raw3 value2
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raw2 value9
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raw10 value1
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aow1 value8 value8
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aow3 value2
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aow2 value9
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aow10 value1
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aaw1 value8 value8
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aaw3 value2
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aaw2 value9
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aaw10 value1
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how1 value8 value8
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how3 value2
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how2 value9
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how10 value1
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zow1 value8 value8
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zow3 value2
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zow2 value9
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zow10 value1
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zaw1 value8 value8
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zaw3 value2
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zaw2 value9
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zaw10 value1
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haw1 value8 value8
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haw3 value2
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haw2 value9
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haw10 value1
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low1 value8 value8
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low3 value2
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low2 value9
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low10 value1
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law1 value8 value8
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law3 value2
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law2 value9
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law10 value1
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EOF
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echo "uploading example.tsv to HDFS"
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -mkdir example
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -copyFromLocal "${working_dir}/example.tsv" "example/"
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echo "Importing TSV via shaded client artifact for HBase - MapReduce integration."
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# hbase_thirdparty_jars=("${component_install}"/lib/htrace-core4*.jar \
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# "${component_install}"/lib/slf4j-api-*.jar \
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# "${component_install}"/lib/commons-logging-*.jar \
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# "${component_install}"/lib/slf4j-log4j12-*.jar \
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# "${component_install}"/lib/log4j-1.2.*.jar \
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# "${working_dir}/hbase-conf/log4j.properties")
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# hbase_dep_classpath=$(IFS=:; echo "${hbase_thirdparty_jars[*]}")
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hbase_dep_classpath="$("${hbase_client}/bin/hbase" --config "${working_dir}/hbase-conf/" mapredcp)"
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HADOOP_CLASSPATH="${hbase_dep_classpath}" redirect_and_run "${working_dir}/mr-importtsv" \
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"${hadoop_exec}" --config "${working_dir}/hbase-conf/" jar "${hbase_client}/lib/shaded-clients/hbase-shaded-mapreduce-${hbase_version}.jar" importtsv -Dimporttsv.columns=HBASE_ROW_KEY,family1:column1,family1:column4,family1:column3 test:example example/ -libjars "${hbase_dep_classpath}"
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"${hbase_client}/bin/hbase" --config "${working_dir}/hbase-conf/" shell --noninteractive >"${working_dir}/scan_import.out" 2>"${working_dir}/scan_import.err" <<EOF
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scan 'test:example'
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EOF
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echo "Verifying row count from import."
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import_rowcount=$(echo 'count "test:example"' | "${hbase_client}/bin/hbase" --config "${working_dir}/hbase-conf/" shell --noninteractive 2>/dev/null | tail -n 1)
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if [ ! "${import_rowcount}" -eq 48 ]; then
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echo "ERROR: Instead of finding 48 rows, we found ${import_rowcount}."
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exit 2
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fi
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if [ -z "${hadoop_jars}" ]; then
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echo "Hadoop client jars not given; getting them from 'hadoop classpath' for the example."
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hadoop_jars=$("${hadoop_exec}" --config "${working_dir}/hbase-conf/" classpath)
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fi
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echo "Building shaded client example."
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cat >"${working_dir}/HBaseClientReadWriteExample.java" <<EOF
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FileSystem;
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import org.apache.hadoop.fs.FSDataInputStream;
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import org.apache.hadoop.fs.FSDataOutputStream;
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import org.apache.hadoop.fs.Path;
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import org.apache.hadoop.hbase.Cell;
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import org.apache.hadoop.hbase.CellBuilder;
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import org.apache.hadoop.hbase.CellBuilderFactory;
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import org.apache.hadoop.hbase.CellBuilderType;
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import org.apache.hadoop.hbase.ClusterMetrics;
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import org.apache.hadoop.hbase.HBaseConfiguration;
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import org.apache.hadoop.hbase.RegionMetrics;
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import org.apache.hadoop.hbase.ServerMetrics;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.client.Admin;
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import org.apache.hadoop.hbase.client.Connection;
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import org.apache.hadoop.hbase.client.ConnectionFactory;
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import org.apache.hadoop.hbase.client.Put;
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import org.apache.hadoop.hbase.client.Table;
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import org.apache.hadoop.hbase.util.Bytes;
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import java.util.LinkedList;
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import java.util.List;
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public class HBaseClientReadWriteExample {
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private static final byte[] FAMILY_BYTES = Bytes.toBytes("family2");
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public static void main(String[] args) throws Exception {
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Configuration hbase = HBaseConfiguration.create();
|
|
Configuration hadoop = new Configuration();
|
|
try (Connection connection = ConnectionFactory.createConnection(hbase)) {
|
|
System.out.println("Generating list of regions");
|
|
final List<String> regions = new LinkedList<>();
|
|
try (Admin admin = connection.getAdmin()) {
|
|
final ClusterMetrics cluster = admin.getClusterMetrics();
|
|
System.out.println(String.format("\tCluster reports version %s, ave load %f, region count %d", cluster.getHBaseVersion(), cluster.getAverageLoad(), cluster.getRegionCount()));
|
|
for (ServerMetrics server : cluster.getLiveServerMetrics().values()) {
|
|
for (RegionMetrics region : server.getRegionMetrics().values()) {
|
|
regions.add(region.getNameAsString());
|
|
}
|
|
}
|
|
}
|
|
final Path listing = new Path("example-region-listing.data");
|
|
System.out.println("Writing list to HDFS");
|
|
try (FileSystem fs = FileSystem.newInstance(hadoop)) {
|
|
final Path path = fs.makeQualified(listing);
|
|
try (FSDataOutputStream out = fs.create(path)) {
|
|
out.writeInt(regions.size());
|
|
for (String region : regions) {
|
|
out.writeUTF(region);
|
|
}
|
|
out.hsync();
|
|
}
|
|
}
|
|
final List<Put> puts = new LinkedList<>();
|
|
final Put marker = new Put(new byte[] { (byte)0 });
|
|
System.out.println("Reading list from HDFS");
|
|
try (FileSystem fs = FileSystem.newInstance(hadoop)) {
|
|
final Path path = fs.makeQualified(listing);
|
|
final CellBuilder builder = CellBuilderFactory.create(CellBuilderType.SHALLOW_COPY);
|
|
try (FSDataInputStream in = fs.open(path)) {
|
|
final int count = in.readInt();
|
|
marker.addColumn(FAMILY_BYTES, Bytes.toBytes("count"), Bytes.toBytes(count));
|
|
for(int i = 0; i < count; i++) {
|
|
builder.clear();
|
|
final byte[] row = Bytes.toBytes(in.readUTF());
|
|
final Put put = new Put(row);
|
|
builder.setRow(row);
|
|
builder.setFamily(FAMILY_BYTES);
|
|
builder.setType(Cell.Type.Put);
|
|
put.add(builder.build());
|
|
puts.add(put);
|
|
}
|
|
}
|
|
}
|
|
System.out.println("Writing list into HBase table");
|
|
try (Table table = connection.getTable(TableName.valueOf("test:example"))) {
|
|
table.put(marker);
|
|
table.put(puts);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
EOF
|
|
redirect_and_run "${working_dir}/hbase-shaded-client-compile" \
|
|
javac -cp "${hbase_client}/lib/shaded-clients/hbase-shaded-client-byo-hadoop-${hbase_version}.jar:${hadoop_jars}" "${working_dir}/HBaseClientReadWriteExample.java"
|
|
echo "Running shaded client example. It'll fetch the set of regions, round-trip them to a file in HDFS, then write them one-per-row into the test table."
|
|
# The order of classpath entries here is important. if we're using non-shaded Hadoop 3 / 2.9.0 jars, we have to work around YARN-2190.
|
|
redirect_and_run "${working_dir}/hbase-shaded-client-example" \
|
|
java -cp "${working_dir}/hbase-conf/:${hbase_client}/lib/shaded-clients/hbase-shaded-client-byo-hadoop-${hbase_version}.jar:${hbase_dep_classpath}:${working_dir}:${hadoop_jars}" HBaseClientReadWriteExample
|
|
|
|
echo "Checking on results of example program."
|
|
"${hadoop_exec}" --config "${working_dir}/hbase-conf/" fs -copyToLocal "example-region-listing.data" "${working_dir}/example-region-listing.data"
|
|
|
|
"${hbase_client}/bin/hbase" --config "${working_dir}/hbase-conf/" shell --noninteractive >"${working_dir}/scan_example.out" 2>"${working_dir}/scan_example.err" <<EOF
|
|
scan 'test:example'
|
|
EOF
|
|
|
|
echo "Verifying row count from example."
|
|
example_rowcount=$(echo 'count "test:example"' | "${hbase_client}/bin/hbase" --config "${working_dir}/hbase-conf/" shell --noninteractive 2>/dev/null | tail -n 1)
|
|
if [ "${example_rowcount}" -gt "1050" ]; then
|
|
echo "Found ${example_rowcount} rows, which is enough to cover 48 for import, 1000 example's use of user table regions, 2 for example's use of meta/namespace regions, and 1 for example's count record"
|
|
else
|
|
echo "ERROR: Only found ${example_rowcount} rows."
|
|
fi
|
|
|
|
)
|