I am here to share you guys the integration of spark in the spring-boot application.
Usually spark is useful in multi-node/cluster environment.If you are using a single node cluster and using sparing-boot to submit jobs and getting workflow results to show somewhere in your web application.Then this approach will be straight forward way.The spring rest-api will launch spark jobs and the computed results will be given as a response.
yashwanth2804
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spring-spark-example
An example of setting up Spring-Boot with Spark.
spring-spark-example
An example of setting up Spring-Boot with Spark.
Job Submissions
Typical way
- CLI
# Run application locally on 8 cores
./bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--master local[8] \
/path/to/examples.jar \
100
- CURL
curl -X POST -d http://master-host:6066/v1/submissions/create --header "Content-Type:application/json" --data '{
"action": "CreateSubmissionRequest",
"appResource": "hdfs://localhost:9000/user/spark-examples_2.11-2.0.0.jar",
"clientSparkVersion": "2.0.0",
"appArgs": [ "10" ],
"environmentVariables" : {
"SPARK_ENV_LOADED" : "1"
},
"mainClass": "org.apache.spark.examples.SparkPi",
"sparkProperties": {
"spark.jars": "hdfs://localhost:9000/user/spark-examples_2.11-2.0.0.jar",
"spark.driver.supervise":"false",
"spark.executor.memory": "512m",
"spark.driver.memory": "512m",
"spark.submit.deployMode":"cluster",
"spark.app.name": "SparkPi",
"spark.master": "spark://master-host:6066"
}
}
Springboot rest api
http://localhost:8056/api/mongodb
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