Implement FlintJob Logic for EMR-S (#52)

* Implement FlintJob Logic for EMR-S

This commit introduces FlintJob logic for EMR-S, mirroring the existing SQLJob implementation for EMR cluster. The key differences in FlintJob are:
1. It reads OpenSearch host information from spark command parameters.
2. It ensures the existence of a result index with the correct mapping in OpenSearch, creating it if necessary. This process occurs in parallel to SQL query execution.
3. It reports an error if the result index mapping is incorrect.
4. It saves a failure status if the SQL execution fails.

Testing:
1. Manual testing was conducted using the EMR-S CLI.
2. New unit tests were added to verify the functionality.

Signed-off-by: Kaituo Li <[email protected]>

* address comments

Signed-off-by: Kaituo Li <[email protected]>

---------

Signed-off-by: Kaituo Li <[email protected]>

Author: kaituo

.scalafmt.conf

@@ -0,0 +1 @@
+version = 2.7.5

build.sbt

@@ -165,12 +165,37 @@ lazy val standaloneCosmetic = project
     Compile / packageBin := (flintSparkIntegration / assembly).value)
 
 lazy val sparkSqlApplication = (project in file("spark-sql-application"))
+  // dependency will be provided at runtime, so it doesn't need to be included in the assembled JAR
+  .dependsOn(flintSparkIntegration % "provided")
   .settings(
     commonSettings,
     name := "sql-job",
     scalaVersion := scala212,
-    libraryDependencies ++= Seq("org.scalatest" %% "scalatest" % "3.2.15" % "test"),
-    libraryDependencies ++= deps(sparkVersion))
+    libraryDependencies ++= Seq(
+      "org.scalatest" %% "scalatest" % "3.2.15" % "test"),
+    libraryDependencies ++= deps(sparkVersion),
+    libraryDependencies += "com.typesafe.play" %% "play-json" % "2.9.2",
+    // Assembly settings
+    // the sbt assembly plugin found multiple copies of the module-info.class file with
+    // different contents in the jars  that it was merging flintCore dependencies.
+    // This can happen if you have multiple dependencies that include the same library,
+    // but with different versions.
+    assemblyPackageScala / assembleArtifact := false,
+    assembly / assemblyOption ~= {
+      _.withIncludeScala(false)
+    },
+    assembly / assemblyMergeStrategy := {
+      case PathList(ps@_*) if ps.last endsWith ("module-info.class") =>
+        MergeStrategy.discard
+      case PathList("module-info.class") => MergeStrategy.discard
+      case PathList("META-INF", "versions", xs@_, "module-info.class") =>
+        MergeStrategy.discard
+      case x =>
+        val oldStrategy = (assembly / assemblyMergeStrategy).value
+        oldStrategy(x)
+    },
+    assembly / test := (Test / test).value
+  )
 
 lazy val sparkSqlApplicationCosmetic = project
   .settings(

spark-sql-application/README.md

@@ -1,13 +1,25 @@
 # Spark SQL Application
 
-This application execute sql query and store the result in OpenSearch index in following format
+We have two applications: SQLJob and FlintJob.
+
+SQLJob is designed for EMR Spark, executing SQL queries and storing the results in the OpenSearch index in the following format:
 ```
 "stepId":"<emr-step-id>",
-"applicationId":"<spark-application-id>"
+"applicationId":"<spark-application-id>",
 "schema": "json blob",
 "result": "json blob"
 ```
 
+FlintJob is designed for EMR Serverless Spark, executing SQL queries and storing the results in the OpenSearch index in the following format:
+
+```
+"jobRunId":"<emrs-job-id>",
+"applicationId":"<spark-application-id>",
+"schema": "json blob",
+"result": "json blob",
+"dataSourceName":"<opensearch-data-source-name>"
+```
+
 ## Prerequisites
 
 + Spark 3.3.1
@@ -16,8 +28,9 @@ This application execute sql query and store the result in OpenSearch index in f
 
 ## Usage
 
-To use this application, you can run Spark with Flint extension:
+To use these applications, you can run Spark with Flint extension:
 
+SQLJob
 ```
 ./bin/spark-submit \
     --class org.opensearch.sql.SQLJob \
@@ -32,11 +45,41 @@ To use this application, you can run Spark with Flint extension:
     <opensearch-region> \
 ```
 
+FlintJob
+```
+aws emr-serverless start-job-run \
+    --region <region-name> \
+    --application-id <application-id> \
+    --execution-role-arn <execution-role>  \
+    --job-driver '{"sparkSubmit": {"entryPoint": "<flint-job-s3-path>", \
+      "entryPointArguments":["'<sql-query>'", "<result-index>", "<data-source-name>"], \
+      "sparkSubmitParameters":"--class org.opensearch.sql.FlintJob \
+        --conf spark.hadoop.fs.s3.customAWSCredentialsProvider=com.amazonaws.emr.AssumeRoleAWSCredentialsProvider \
+        --conf spark.emr-serverless.driverEnv.ASSUME_ROLE_CREDENTIALS_ROLE_ARN=<role-to-access-s3-and-opensearch> \
+        --conf spark.executorEnv.ASSUME_ROLE_CREDENTIALS_ROLE_ARN=<role-to-access-s3-and-opensearch> \
+        --conf spark.hadoop.aws.catalog.credentials.provider.factory.class=com.amazonaws.glue.catalog.metastore.STSAssumeRoleSessionCredentialsProviderFactory \
+        --conf spark.hive.metastore.glue.role.arn=<role-to-access-s3-and-opensearch> \
+        --conf spark.jars=<path-to-AWSGlueDataCatalogHiveMetaStoreAuth-jar> \
+        --conf spark.jars.packages=<flint-spark-integration-jar-name> \
+        --conf spark.jars.repositories=<path-to-download_spark-integration-jar> \
+        --conf spark.emr-serverless.driverEnv.JAVA_HOME=<java-home-in-emr-serverless-host> \
+        --conf spark.executorEnv.JAVA_HOME=<java-home-in-emr-serverless-host> \
+        --conf spark.datasource.flint.host=<opensearch-url> \
+        --conf spark.datasource.flint.port=<opensearch-port> \
+        --conf spark.datasource.flint.scheme=<http-or-https> \
+        --conf spark.datasource.flint.auth=<auth-type> \
+        --conf spark.datasource.flint.region=<region-name> \
+        --conf spark.datasource.flint.customAWSCredentialsProvider=com.amazonaws.emr.AssumeRoleAWSCredentialsProvider \
+        --conf spark.sql.extensions=org.opensearch.flint.spark.FlintSparkExtensions \
+        --conf spark.hadoop.hive.metastore.client.factory.class=com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory "}}'
+    <data-source-name>
+```
+
 ## Result Specifications
 
 Following example shows how the result is written to OpenSearch index after query execution.
 
-Let's assume sql query result is
+Let's assume SQL query result is
 ```
 +------+------+
 |Letter|Number|
@@ -46,7 +89,7 @@ Let's assume sql query result is
 |C     |3     |
 +------+------+
 ```
-OpenSearch index document will look like
+For SQLJob, OpenSearch index document will look like
 ```json
 {
   "_index" : ".query_execution_result",
@@ -68,6 +111,31 @@ OpenSearch index document will look like
 }
 ```
 
+For FlintJob, OpenSearch index document will look like
+```json
+{
+  "_index" : ".query_execution_result",
+  "_id" : "A2WOsYgBMUoqCqlDJHrn",
+  "_score" : 1.0,
+  "_source" : {
+    "result" : [
+    "{'Letter':'A','Number':1}",
+    "{'Letter':'B','Number':2}",
+    "{'Letter':'C','Number':3}"
+    ],
+    "schema" : [
+      "{'column_name':'Letter','data_type':'string'}",
+      "{'column_name':'Number','data_type':'integer'}"
+    ],
+    "jobRunId" : "s-JZSB1139WIVU",
+    "applicationId" : "application_1687726870985_0003",
+    "dataSourceName": "myS3Glue",
+    "status": "SUCCESS",
+    "error": ""
+  }
+}
+```
+
 ## Build
 
 To build and run this application with Spark, you can run:
@@ -76,6 +144,8 @@ To build and run this application with Spark, you can run:
 sbt clean sparkSqlApplicationCosmetic/publishM2
 ```
 
+The jar file is located at `spark-sql-application/target/scala-2.12` folder.
+
 ## Test
 
 To run tests, you can use:
@@ -92,6 +162,12 @@ To check code with scalastyle, you can run:
 sbt scalastyle
 ```
 
+To check code with scalastyle, you can run:
+
+```
+sbt testScalastyle
+```
+
 ## Code of Conduct
 
 This project has adopted an [Open Source Code of Conduct](../CODE_OF_CONDUCT.md).