| #!/bin/bash |
| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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. |
| # |
| #------------------------------------------------------------- |
| |
| # $1 Dml script name. |
| # $2 Args |
| |
| # If number of arguments are not equal to 1. |
| if [[ ($# -ne 2 && $# -ne 1) ]] ; then |
| echo "Usage: "$0" <DML script path> (<Arguments>)" |
| exit 2 |
| fi |
| |
| |
| source systemds_cluster.config |
| |
| aws s3 cp $1 s3://system-ds-bucket/ --exclude "*" --include "*.dml" |
| |
| if [ ! -z "$2" ] |
| then |
| args="-args,${2}" |
| fi |
| |
| dml_filename=$(basename $1) |
| |
| STEP_INFO=$(aws emr add-steps --cluster-id $CLUSTER_ID --steps "Type=Spark, |
| Name='SystemDS Spark Program', |
| ActionOnFailure=CONTINUE, |
| Args=[ |
| --deploy-mode,$SPARK_DEPLOY_MODE, |
| --master,yarn, |
| --driver-memory,$SPARK_DRIVER_MEMORY, |
| --num-executors,$SPARK_NUM_EXECUTORS, |
| --conf,spark.driver.maxResultSize=0, |
| $SYSTEMDS_JAR_PATH, -f, s3://system-ds-bucket/$dml_filename, -exec, $SYSTEMDS_EXEC_MODE,$args,-stats, -explain]") |
| |
| STEP_ID=$(echo $STEP_INFO | jq .StepIds | tr -d '"' | tr -d ']' | tr -d '[' | tr -d '[:space:]' ) |
| echo "Waiting for the step to finish" |
| aws emr wait step-complete --cluster-id $CLUSTER_ID --step-id $STEP_ID |
| |
| aws emr ssh --cluster-id $CLUSTER_ID --key-pair-file ${KEYPAIR_NAME}.pem --command "cat /mnt/var/log/hadoop/steps/$STEP_ID/stderr" |
| aws emr ssh --cluster-id $CLUSTER_ID --key-pair-file ${KEYPAIR_NAME}.pem --command "cat /mnt/var/log/hadoop/steps/$STEP_ID/stdout" |