| #!/usr/bin/env bash |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| GRID_DIR=`dirname "$0"` |
| GRID_DIR=`cd "$GRID_DIR"; pwd` |
| source $GRID_DIR/gridmix-env |
| |
| # Smaller data set is used by default. |
| COMPRESSED_DATA_BYTES=2147483648 |
| UNCOMPRESSED_DATA_BYTES=536870912 |
| INDIRECT_DATA_BYTES=58720256 |
| |
| # Number of partitions for output data |
| if [ -z ${NUM_MAPS} ] ; then |
| NUM_MAPS=100 |
| fi |
| |
| INDIRECT_DATA_FILES=200 |
| |
| # If the env var USE_REAL_DATASET is set, then use the params to generate the bigger (real) dataset. |
| if [ ! -z ${USE_REAL_DATASET} ] ; then |
| echo "Using real dataset" |
| # 2TB data compressing to approx 500GB |
| COMPRESSED_DATA_BYTES=2147483648000 |
| # 500GB |
| UNCOMPRESSED_DATA_BYTES=536870912000 |
| # Default approx 70MB per data file, compressed |
| INDIRECT_DATA_BYTES=58720256000 |
| fi |
| |
| ${HADOOP_HOME}/bin/hadoop jar \ |
| ${EXAMPLE_JAR} randomtextwriter \ |
| -D mapreduce.randomtextwriter.totalbytes=${COMPRESSED_DATA_BYTES} \ |
| -D mapreduce.randomtextwriter.bytespermap=$((${COMPRESSED_DATA_BYTES} / ${NUM_MAPS})) \ |
| -D mapreduce.randomtextwriter.minwordskey=5 \ |
| -D mapreduce.randomtextwriter.maxwordskey=10 \ |
| -D mapreduce.randomtextwriter.minwordsvalue=100 \ |
| -D mapreduce.randomtextwriter.maxwordsvalue=10000 \ |
| -D mapreduce.output.fileoutputformat.compress=true \ |
| -D mapred.map.output.compression.type=BLOCK \ |
| -outFormat org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat \ |
| ${VARCOMPSEQ} & |
| |
| ${HADOOP_HOME}/bin/hadoop jar \ |
| ${EXAMPLE_JAR} randomtextwriter \ |
| -D mapreduce.randomtextwriter.totalbytes=${COMPRESSED_DATA_BYTES} \ |
| -D mapreduce.randomtextwriter.bytespermap=$((${COMPRESSED_DATA_BYTES} / ${NUM_MAPS})) \ |
| -D mapreduce.randomtextwriter.minwordskey=5 \ |
| -D mapreduce.randomtextwriter.maxwordskey=5 \ |
| -D mapreduce.randomtextwriter.minwordsvalue=100 \ |
| -D mapreduce.randomtextwriter.maxwordsvalue=100 \ |
| -D mapreduce.output.fileoutputformat.compress=true \ |
| -D mapred.map.output.compression.type=BLOCK \ |
| -outFormat org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat \ |
| ${FIXCOMPSEQ} & |
| |
| ${HADOOP_HOME}/bin/hadoop jar \ |
| ${EXAMPLE_JAR} randomtextwriter \ |
| -D mapreduce.randomtextwriter.totalbytes=${UNCOMPRESSED_DATA_BYTES} \ |
| -D mapreduce.randomtextwriter.bytespermap=$((${UNCOMPRESSED_DATA_BYTES} / ${NUM_MAPS})) \ |
| -D mapreduce.randomtextwriter.minwordskey=1 \ |
| -D mapreduce.randomtextwriter.maxwordskey=10 \ |
| -D mapreduce.randomtextwriter.minwordsvalue=0 \ |
| -D mapreduce.randomtextwriter.maxwordsvalue=200 \ |
| -D mapreduce.output.fileoutputformat.compress=false \ |
| -outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \ |
| ${VARINFLTEXT} & |
| |
| ${HADOOP_HOME}/bin/hadoop jar \ |
| ${EXAMPLE_JAR} randomtextwriter \ |
| -D mapreduce.randomtextwriter.totalbytes=${INDIRECT_DATA_BYTES} \ |
| -D mapreduce.randomtextwriter.bytespermap=$((${INDIRECT_DATA_BYTES} / ${INDIRECT_DATA_FILES})) \ |
| -D mapreduce.randomtextwriter.minwordskey=5 \ |
| -D mapreduce.randomtextwriter.maxwordskey=5 \ |
| -D mapreduce.randomtextwriter.minwordsvalue=20 \ |
| -D mapreduce.randomtextwriter.maxwordsvalue=20 \ |
| -D mapreduce.output.fileoutputformat.compress=true \ |
| -D mapred.map.output.compression.type=BLOCK \ |
| -outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \ |
| ${FIXCOMPTEXT} & |