QuerySetApp is a Scala/Spark application developed with the purpose in mind to test performance and compatibility among different source{d}'s engine versions applying different well know queries on repositories.

$SPARK_HOME/bin/spark-submit \
    --name "QuerySetApp" \
    --class "tech.sourced.queryset.Main" \
    --master $SPARK_MASTER \
    --num-executors $NUM_EXECUTORS \
    --executor-memory $EXECUTOR_MEM  \
    --total-executor-cores $EXECUTOR_CORES \
    path/to/queryset-0.1.0.jar $REPOS_PATH $REPOS_FORMAT

• SPARK_HOME environment variable must point to the directory where Spark was downloaded (e.g. /usr/local/spark)

• SPARK_MASTER environment variable must point to the master URL for the cluster (e.g. spark://p-spark-master:7077)

• NUM_EXECUTORS, EXECUTOR_MEM, EXECUTOR_CORES: Executor configuration parameters (eg: 3, 4G, 64).

• REPOS_PATH must point to the directory which contains the repositories.

• REPOS_FORMAT must specify the repositories' format (e.g. siva, standard)

• First you should set the Spark directory:

  export SPARK_HOME="path/to/spark"

• Build the fatjar to submit to a spark cluster:

  make build

It leaves the fatjar under target/scala-2.11/queryset-0.1.0.jar

• Run application in local uses the repositories under src/main/resources/siva-files by default:

  make run

• Submit application to a cluster:

    SPARK_MASTER="spark://p-spark-master:7077" \
    REPOS_PATH="/path/to/repos" \
    REPOS_FORMAT="siva" \
    make run