ueshin commented on code in PR #41948:
URL: https://github.com/apache/spark/pull/41948#discussion_r1263165177
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/python/UserDefinedPythonFunction.scala:
##########
@@ -91,3 +122,104 @@ case class UserDefinedPythonTableFunction(
Dataset.ofRows(session, udtf)
}
}
+
+object UserDefinedPythonTableFunction {
+
+ private[this] val workerModule = "pyspark.sql.worker.analyze_udtf"
+
+ /**
+ * Runs the Python UDTF's `analyze` static method.
+ */
+ def analyzeInPython(func: PythonFunction, exprs: Seq[Expression]):
StructType = {
+ val env = SparkEnv.get
+ val bufferSize: Int = env.conf.get(BUFFER_SIZE)
+ val authSocketTimeout = env.conf.get(PYTHON_AUTH_SOCKET_TIMEOUT)
+ val reuseWorker = env.conf.get(PYTHON_WORKER_REUSE)
+ val simplifiedTraceback: Boolean = SQLConf.get.pysparkSimplifiedTraceback
+
+ val envVars = new HashMap[String, String](func.envVars)
+ val pythonExec = func.pythonExec
+ val pythonVer = func.pythonVer
+
+ if (reuseWorker) {
+ envVars.put("SPARK_REUSE_WORKER", "1")
+ }
+ if (simplifiedTraceback) {
+ envVars.put("SPARK_SIMPLIFIED_TRACEBACK", "1")
+ }
+ envVars.put("SPARK_AUTH_SOCKET_TIMEOUT", authSocketTimeout.toString)
+ envVars.put("SPARK_BUFFER_SIZE", bufferSize.toString)
+
+ EvaluatePython.registerPicklers()
+ val pickler = new Pickler(/* useMemo = */ true,
Review Comment:
We can't remove it because the class is written in Java that doesn't allow
named arguments.
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