davidm-db commented on code in PR #48794:
URL: https://github.com/apache/spark/pull/48794#discussion_r1854405497
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sql/core/src/main/scala/org/apache/spark/sql/scripting/SqlScriptingExecutionNode.scala:
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@@ -636,3 +649,223 @@ class LoopStatementExec(
body.reset()
}
}
+
+/**
+ * Executable node for ForStatement.
+ * @param query Executable node for the query.
+ * @param variableName Name of variable used for accessing current row during
iteration.
+ * @param body Executable node for the body.
+ * @param label Label set to ForStatement by user or None otherwise.
+ * @param session Spark session that SQL script is executed within.
+ */
+class ForStatementExec(
+ query: SingleStatementExec,
+ variableName: Option[String],
+ body: CompoundBodyExec,
+ val label: Option[String],
+ session: SparkSession) extends NonLeafStatementExec {
+
+ private object ForState extends Enumeration {
+ val VariableAssignment, Body, VariableCleanup = Value
+ }
+ private var state = ForState.VariableAssignment
+ private var currRow = 0
+ private var areVariablesDeclared = false
+
+ // map of all variables created internally by the for statement
+ // (variableName -> variableExpression)
+ private var variablesMap: Map[String, Expression] = Map()
+
+ // compound body used for dropping variables while in
ForState.VariableAssignment
+ private var dropVariablesExec: CompoundBodyExec = null
+
+ private var queryResult: Array[Row] = null
+ private var isResultCacheValid = false
+ private def cachedQueryResult(): Array[Row] = {
+ if (!isResultCacheValid) {
+ queryResult = query.buildDataFrame(session).collect()
Review Comment:
I think we can simplify this a bit further, commented it
[here](https://github.com/apache/spark/pull/48794/files#r1854400972).
Otherwise, the idea is really cool. You already have my approval.
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