Generate a detailed report for the write ops

core/src/main/scala/com/nvidia/spark/rapids/tool/planparser/DataWritingCommandExecParser.scala

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022-2024, NVIDIA CORPORATION.
+ * Copyright (c) 2022-2025, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -19,6 +19,8 @@ package com.nvidia.spark.rapids.tool.planparser
 import com.nvidia.spark.rapids.tool.qualification.PluginTypeChecker
 
 import org.apache.spark.sql.execution.ui.SparkPlanGraphNode
+import org.apache.spark.sql.rapids.tool.store.{WriteOperationMetaBuilder, WriteOperationMetadataTrait}
+import org.apache.spark.sql.rapids.tool.util.StringUtils
 
 case class DataWritingCommandExecParser(
     node: SparkPlanGraphNode,
@@ -106,13 +108,13 @@ object DataWritingCommandExecParser {
   // This used for expressions that do not show the format as part of the description.
   private val specialWriteFormatMap = Map[String, String](
     // if appendDataExecV1 is not deltaLakeProvider, then we want to mark it as unsupported
-    appendDataExecV1 -> "unknown",
+    appendDataExecV1 -> StringUtils.UNKNOWN_EXTRACT,
     // if overwriteByExprExecV1 is not deltaLakeProvider, then we want to mark it as unsupported
-    overwriteByExprExecV1 -> "unknown",
+    overwriteByExprExecV1 -> StringUtils.UNKNOWN_EXTRACT,
     // if atomicReplaceTableExec is not deltaLakeProvider, then we want to mark it as unsupported
-    atomicReplaceTableExec -> "unknown",
+    atomicReplaceTableExec -> StringUtils.UNKNOWN_EXTRACT,
     // if atomicCreateTableExec is not deltaLakeProvider, then we want to mark it as unsupported
-    atomicCreateTableExec -> "unknown"
+    atomicCreateTableExec -> StringUtils.UNKNOWN_EXTRACT
   )
 
   // Checks whether a node is a write CMD Exec
@@ -175,4 +177,166 @@ object DataWritingCommandExecParser {
       parsedString.split(",")(0) // return third parameter from the input string
     }
   }
+
+  /**
+   * Extracts metadata information from a write operation node description.
+   * This method is specifically designed to parse the description of
+   * `InsertIntoHadoopFsRelationCommand` nodes and extract relevant details
+   * such as the output path, data format, write mode, catalog information,
+   * and output columns.
+   *
+   * The method performs the following steps:
+   * - Extracts the output path and data format from the node description.
+   * - Determines the write mode (e.g., Append, Overwrite) based on specific keywords in the
+   *   description.
+   * - Extracts catalog information (database and table name) from the output path.
+   * - Extracts the output columns if available in the description.
+   * - Builds and returns a `WriteOperationMetadataTrait` object encapsulating the extracted
+   *   metadata.
+   *
+   * This method includes error handling to ensure graceful fallback to default values
+   * (e.g., `UNKNOWN_EXTRACT`) in case of unexpected input or parsing errors.
+   *
+   * @param execName The name of the execution command (e.g., `InsertIntoHadoopFsRelationCommand`).
+   * @param nodeDescr The description of the node, typically containing details about the write
+   *                  operation.
+   * @return A `WriteOperationMetadataTrait` object containing the extracted metadata.
+   */
+  private def extractWriteOpRecord(
+      execName: String, nodeDescr: String): WriteOperationMetadataTrait = {
+    // Helper function to extract catalog information (database and table name) from the output
+    // path.
+    def extractCatalog(path: String): (String, String) = {
+      try {
+        // Split the URI into parts by "/"
+        val pathParts = path.split("/").filter(_.nonEmpty)
+        if (pathParts.length >= 2) {
+          // Extract the last two parts as database and table name
+          val database = pathParts(pathParts.length - 2)
+          val tableName = pathParts.last
+          (database, tableName)
+        } else {
+          // If not enough parts, return UNKNOWN_EXTRACT
+          (StringUtils.UNKNOWN_EXTRACT, StringUtils.UNKNOWN_EXTRACT)
+        }
+      } catch {
+        // Handle any unexpected errors gracefully
+        case _: Exception => (StringUtils.UNKNOWN_EXTRACT, StringUtils.UNKNOWN_EXTRACT)
+      }
+    }
+
+    // Helper function to extract the output path and data format from the node description.
+    def extractPathAndFormat(args: Array[String]): (String, String) = {
+      // Extract the path from the first argument
+      val path =
+        args.headOption.map(_.split("\\s+").last.trim).getOrElse(StringUtils.UNKNOWN_EXTRACT)
+      // Extract the data format from the third argument
+      val thirdArg = args.lift(2).getOrElse("").trim
+      val format = if (thirdArg.startsWith("[")) {
+        // Optional parameter is present in the eventlog. Get the fourth parameter by skipping the
+        // optional parameter string.
+        thirdArg.split("(?<=],)")
+          .map(_.trim).lift(1).getOrElse("").split(",").headOption.getOrElse("").trim
+      } else {
+        thirdArg.split(",").headOption.getOrElse("").trim
+      }
+      (path, format)
+    }
+
+    // Helper function to determine the write mode (e.g., Append, Overwrite) from the description.
+    def extractWriteMode(description: String): String = {
+      val modes = Map(
+        ", Append," -> "Append",
+        ", Overwrite," -> "Overwrite",
+        ", ErrorIfExists," -> "ErrorIfExists",
+        ", Ignore," -> "Ignore"
+      )
+      // Match the description against known write modes
+      modes.collectFirst { case (key, mode) if description.contains(key) => mode }
+        .getOrElse(StringUtils.UNKNOWN_EXTRACT)
+    }
+
+    // Helper function to extract output columns from the node description.
+    def extractOutputColumns(description: String): Option[String] = {
+      // Use a regular expression to find column definitions enclosed in square brackets
+      val columnsRegex = """\[(.*?)\]""".r
+      columnsRegex.findAllMatchIn(description).map(_.group(1)).toList.lastOption
+        .map(_.replaceAll(",\\s+", ";"))  // Replace commas with semicolons for better readability
+    }
+
+    // Parse the node description into arguments
+    val splitArgs = nodeDescr.split(",", 3)
+
+    // Extract the output path and data format
+    val (path, format) = extractPathAndFormat(splitArgs)
+
+    // Extract the write mode (e.g., Append, Overwrite)
+    val writeMode = extractWriteMode(nodeDescr)
+
+    // Extract catalog information (database and table name) from the output path
+    val (catalogDB, catalogTable) = extractCatalog(path)
+
+    // Extract the output columns, if available
+    val outColumns = extractOutputColumns(nodeDescr)
+
+    // Build and return the metadata object encapsulating all extracted information
+    WriteOperationMetaBuilder.build(
+      execName = execName,
+      dataFormat = format,
+      outputPath = Option(path),
+      outputColumns = outColumns,
+      writeMode = writeMode,
+      tableName = catalogTable,
+      dataBaseName = catalogDB,
+      fullDescr = Some(nodeDescr)
+    )
+  }
+
+  /**
+   * Extracts metadata information from a given SparkPlanGraphNode representing a write operation.
+   *
+   * This method determines the type of write operation (e.g., Delta Lake or other supported
+   * commands) and extracts relevant metadata such as execution name, data format, output path,
+   * write mode, and catalog information. It uses helper methods to parse the node description
+   * and build a metadata object encapsulating the extracted details.
+   *
+   * The method performs the following steps:
+   * 1. Retrieves the node description from the provided SparkPlanGraphNode.
+   * 2. Checks if the node is a Delta Lake write operation using DeltaLakeHelper.
+   * 3. Retrieves the appropriate command wrapper (logical or physical) for the node.
+   * 4. If the command is `InsertIntoHadoopFsRelationCommand`, it invokes a specialized method
+   *    `extractWriteOpRecord` to extract detailed metadata.
+   * 5. For other commands, it builds a metadata object using the command wrapper's information.
+   * 6. If no command wrapper is found, it falls back to building a metadata object with minimal
+   *    information.
+   *
+   * @param node The SparkPlanGraphNode representing the write operation.
+   * @return A WriteOperationMetadataTrait object containing the extracted metadata.
+   */
+  def getWriteOpMetaFromNode(node: SparkPlanGraphNode): WriteOperationMetadataTrait = {
+    // Determine the appropriate command wrapper based on whether the node is a Delta Lake write
+    // operation.
+    val cmdWrapper = if (DeltaLakeHelper.acceptsWriteOp(node)) {
+      DeltaLakeHelper.getWriteCMDWrapper(node)
+    } else {
+      getWriteCMDWrapper(node)
+    }
+    // Process the command wrapper to extract metadata
+    cmdWrapper match {
+      case Some(cmdWrapper) =>
+        // If the command is InsertIntoHadoopFsRelationCommand, extract detailed metadata.
+        if (cmdWrapper.execName == DataWritingCommandExecParser.insertIntoHadoopCMD) {
+          extractWriteOpRecord(cmdWrapper.execName, node.desc)
+        } else {
+          // For other commands, build metadata using the command wrapper's information.
+          WriteOperationMetaBuilder.build(
+            execName = cmdWrapper.execName,
+            dataFormat = cmdWrapper.dataFormat,
+            fullDescr = Some(node.desc))
+        }
+      case _ =>
+        // If no command wrapper is found, build metadata with minimal information.
+        WriteOperationMetaBuilder.buildNoMeta(Some(node.desc))
+    }
+  }
 }

core/src/main/scala/com/nvidia/spark/rapids/tool/planparser/DeltaLakeHelper.scala

@@ -20,6 +20,7 @@ import com.nvidia.spark.rapids.tool.qualification.PluginTypeChecker
 
 import org.apache.spark.sql.execution.ui.{SparkPlanGraphCluster, SparkPlanGraphNode}
 import org.apache.spark.sql.rapids.tool.SqlPlanInfoGraphEntry
+import org.apache.spark.sql.rapids.tool.util.StringUtils
 
 // A class used to handle the DL writeOps such as:
 // - AppendDataExecV1
@@ -135,8 +136,6 @@ object DeltaLakeHelper {
   def parseNode(node: SparkPlanGraphNode,
       checker: PluginTypeChecker,
       sqlID: Long): ExecInfo = {
-    val opExec = new DLWriteWithFormatAndSchemaParser(node, checker, sqlID)
-    opExec.parse
     node match {
       case n if acceptsWriteOp(n) =>
         val opExec = new DLWriteWithFormatAndSchemaParser(node, checker, sqlID)
@@ -145,6 +144,25 @@ object DeltaLakeHelper {
     }
   }
 
+  /**
+   * Get the write command wrapper for the given node deltaLake exec node.
+   * This method should be called only if the node passes the `acceptsWriteOp` check.
+   * @param node the deltaLake write exec
+   * @return the write command wrapper
+   */
+  def getWriteCMDWrapper(node: SparkPlanGraphNode): Option[DataWritingCmdWrapper] = {
+    val wcmd = exclusiveDeltaExecs.find(node.name.contains(_)) match {
+      case Some(cmd) => cmd
+      case _ =>
+        deltaExecsFromSpark.find(node.name.contains(_)) match {
+          case Some(cmd) => cmd
+          case _ => StringUtils.UNKNOWN_EXTRACT
+        }
+    }
+    // The format must be delta
+    Some(DataWritingCmdWrapper(wcmd, DataWritingCommandExecParser.dataWriteCMD, getWriteFormat))
+  }
+
   // Kept for future use if we find that SerDe library can be used to deduce any information to
   // reflect on the support of the Op
   def getSerdeLibrary(nodeDesc: String): Option[String] = {

core/src/main/scala/com/nvidia/spark/rapids/tool/planparser/HiveParseHelper.scala

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2024, NVIDIA CORPORATION.
+ * Copyright (c) 2024-2025, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -18,7 +18,7 @@ package com.nvidia.spark.rapids.tool.planparser
 
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.execution.ui.SparkPlanGraphNode
-import org.apache.spark.sql.rapids.tool.util.EventUtils
+import org.apache.spark.sql.rapids.tool.util.{EventUtils, StringUtils}
 
 // A wrapper class to map between
 case class HiveScanSerdeClasses(className: String, format: String) extends Logging {
@@ -68,7 +68,7 @@ object HiveParseHelper extends Logging {
   }
 
   def getHiveFormatFromSimpleStr(str: String): String = {
-    LOADED_SERDE_CLASSES.find(_.accepts(str)).map(_.format).getOrElse("unknown")
+    LOADED_SERDE_CLASSES.find(_.accepts(str)).map(_.format).getOrElse(StringUtils.UNKNOWN_EXTRACT)
   }
 
   // Given a "scan hive" NodeGraph, construct the MetaData based on the SerDe class.

core/src/main/scala/com/nvidia/spark/rapids/tool/planparser/ReadParser.scala

@@ -22,6 +22,7 @@ import com.nvidia.spark.rapids.tool.qualification.PluginTypeChecker
 
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.execution.ui.SparkPlanGraphNode
+import org.apache.spark.sql.rapids.tool.util.StringUtils
 
 case class ReadMetaData(schema: String, location: String, format: String,
     tags: Map[String, String] = ReadParser.DEFAULT_METAFIELD_MAP) {
@@ -60,7 +61,7 @@ object ReadParser extends Logging {
   val METAFIELD_TAG_FORMAT = "Format"
   val METAFIELD_TAG_LOCATION = "Location"
 
-  val UNKNOWN_METAFIELD: String = "unknown"
+  val UNKNOWN_METAFIELD: String = StringUtils.UNKNOWN_EXTRACT
   val DEFAULT_METAFIELD_MAP: Map[String, String] = collection.immutable.Map(
     METAFIELD_TAG_DATA_FILTERS -> UNKNOWN_METAFIELD,
     METAFIELD_TAG_PUSHED_FILTERS -> UNKNOWN_METAFIELD,

core/src/main/scala/com/nvidia/spark/rapids/tool/planparser/ops/OperatorRefBase.scala

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2024, NVIDIA CORPORATION.
+ * Copyright (c) 2024-2025, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -31,8 +31,8 @@ import org.apache.spark.sql.rapids.tool.util.StringUtils
 
 class OperatorRefBase(val value: String, val opType: OpTypes.OpType) extends OperatorRefTrait {
   // Preformatted values for CSV output to avoid reformatting multiple times.
-  val csvValue: String = StringUtils.reformatCSVString(value)
-  val csvOpType: String = StringUtils.reformatCSVString(opType.toString)
+  lazy val csvValue: String = StringUtils.reformatCSVString(value)
+  lazy val csvOpType: String = StringUtils.reformatCSVString(opType.toString)
 
   override def getOpName: String = value
   override def getOpNameCSV: String = csvValue

core/src/main/scala/com/nvidia/spark/rapids/tool/profiling/ApplicationSummaryInfo.scala

@@ -18,6 +18,7 @@ package com.nvidia.spark.rapids.tool.profiling
 
 import com.nvidia.spark.rapids.SparkRapidsBuildInfoEvent
 import com.nvidia.spark.rapids.tool.AppSummaryInfoBaseProvider
+import com.nvidia.spark.rapids.tool.views.WriteOpProfileResult
 
 case class ApplicationSummaryInfo(
     appInfo: Seq[AppInfoProfileResults],
@@ -47,7 +48,8 @@ case class ApplicationSummaryInfo(
     ioMetrics: Seq[IOAnalysisProfileResult],
     sysProps: Seq[RapidsPropertyProfileResult],
     sqlCleanedAlignedIds: Seq[SQLCleanAndAlignIdsProfileResult],
-    sparkRapidsBuildInfo: Seq[SparkRapidsBuildInfoEvent])
+    sparkRapidsBuildInfo: Seq[SparkRapidsBuildInfoEvent],
+    writeOpsInfo: Seq[WriteOpProfileResult])
 
 trait AppInfoPropertyGetter {
   // returns all the properties (i.e., spark)

core/src/main/scala/com/nvidia/spark/rapids/tool/profiling/CollectInformation.scala

@@ -56,6 +56,11 @@ class CollectInformation(apps: Seq[ApplicationInfo]) extends Logging {
     ProfDataSourceView.getRawView(apps, cachedSqlAccum)
   }
 
+  // get the write records information
+  def getWriteOperationInfo: Seq[WriteOpProfileResult] = {
+    ProfWriteOpsView.getRawView(apps)
+  }
+
   // get executor related information
   def getExecutorInfo: Seq[ExecutorInfoProfileResult] = {
     ProfExecutorView.getRawView(apps)

core/src/main/scala/com/nvidia/spark/rapids/tool/profiling/Profiler.scala

@@ -399,13 +399,15 @@ class Profiler(hadoopConf: Configuration, appArgs: ProfileArgs, enablePB: Boolea
     val endTime = System.currentTimeMillis()
     logInfo(s"Took ${endTime - startTime}ms to Process [${appInfo.head.appId}]")
     (ApplicationSummaryInfo(appInfo, dsInfo,
-      collect.getExecutorInfo, collect.getJobInfo, rapidsProps,
-      rapidsJar, sqlMetrics, stageMetrics, analysis.jobAggs, analysis.stageAggs,
-      analysis.sqlAggs, analysis.sqlDurAggs, analysis.taskShuffleSkew,
-      failedTasks, failedStages, failedJobs, removedBMs, removedExecutors,
-      unsupportedOps, sparkProps, collect.getSQLToStage, wholeStage, maxTaskInputInfo,
-      appLogPath, analysis.ioAggs, systemProps, sqlIdAlign, sparkRapidsBuildInfo),
-      compareRes, DiagnosticSummaryInfo(analysis.stageDiagnostics, collect.getIODiagnosticMetrics))
+        collect.getExecutorInfo, collect.getJobInfo, rapidsProps,
+        rapidsJar, sqlMetrics, stageMetrics, analysis.jobAggs, analysis.stageAggs,
+        analysis.sqlAggs, analysis.sqlDurAggs, analysis.taskShuffleSkew,
+        failedTasks, failedStages, failedJobs, removedBMs, removedExecutors,
+        unsupportedOps, sparkProps, collect.getSQLToStage, wholeStage, maxTaskInputInfo,
+        appLogPath, analysis.ioAggs, systemProps, sqlIdAlign, sparkRapidsBuildInfo,
+        collect.getWriteOperationInfo),
+      compareRes,
+      DiagnosticSummaryInfo(analysis.stageDiagnostics, collect.getIODiagnosticMetrics))
   }
 
   /**
@@ -502,7 +504,8 @@ class Profiler(hadoopConf: Configuration, appArgs: ProfileArgs, enablePB: Boolea
         appsSum.flatMap(_.ioMetrics).sortBy(_.appIndex),
         combineProps("system", appsSum).sortBy(_.key),
         appsSum.flatMap(_.sqlCleanedAlignedIds).sortBy(_.appIndex),
-        appsSum.flatMap(_.sparkRapidsBuildInfo)
+        appsSum.flatMap(_.sparkRapidsBuildInfo),
+        appsSum.flatMap(_.writeOpsInfo).sortBy(_.appIndex)
       )
       Seq(reduced)
     } else {
@@ -546,6 +549,8 @@ class Profiler(hadoopConf: Configuration, appArgs: ProfileArgs, enablePB: Boolea
         Some(AGG_DESCRIPTION(SQL_AGG_LABEL)))
       profileOutputWriter.write(IO_LABEL, app.ioMetrics)
       profileOutputWriter.write(SQL_DUR_LABEL, app.durAndCpuMet)
+      // writeOps are generated in only CSV format
+      profileOutputWriter.writeCSVTable(ProfWriteOpsView.getLabel, app.writeOpsInfo)
       val skewHeader = TASK_SHUFFLE_SKEW
       val skewTableDesc = AGG_DESCRIPTION(TASK_SHUFFLE_SKEW)
       profileOutputWriter.write(skewHeader, app.skewInfo, tableDesc = Some(skewTableDesc))