chaoqin-li1123 commented on code in PR #45023:
URL: https://github.com/apache/spark/pull/45023#discussion_r1491464370


##########
sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonStreamingDataSourceSuite.scala:
##########
@@ -0,0 +1,229 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.execution.python
+
+import org.apache.spark.SparkException
+import org.apache.spark.sql.AnalysisException
+import 
org.apache.spark.sql.IntegratedUDFTestUtils.{createUserDefinedPythonDataSource, 
shouldTestPandasUDFs}
+import 
org.apache.spark.sql.execution.datasources.v2.python.{PythonDataSourceV2, 
PythonMicroBatchStream, PythonStreamingSourceOffset}
+import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+class PythonStreamingDataSourceSuite extends PythonDataSourceSuiteBase {
+
+  protected def simpleDataStreamReaderScript: String =
+    """
+      |from pyspark.sql.datasource import DataSourceStreamReader, 
InputPartition
+      |
+      |class SimpleDataStreamReader(DataSourceStreamReader):
+      |    def initialOffset(self):
+      |        return {"offset": "0"}
+      |    def latestOffset(self):
+      |        return {"offset": "2"}
+      |    def partitions(self, start: dict, end: dict):
+      |        return [InputPartition(i) for i in range(int(start["offset"]))]
+      |    def commit(self, end: dict):
+      |        1 + 2
+      |    def read(self, partition):
+      |        yield (0, partition.value)
+      |        yield (1, partition.value)
+      |        yield (2, partition.value)
+      |""".stripMargin
+
+  protected def errorDataStreamReaderScript: String =
+    """
+      |from pyspark.sql.datasource import DataSourceStreamReader, 
InputPartition
+      |
+      |class ErrorDataStreamReader(DataSourceStreamReader):
+      |    def initialOffset(self):
+      |        raise Exception("error reading initial offset")
+      |    def latestOffset(self):
+      |        raise Exception("error reading latest offset")
+      |    def partitions(self, start: dict, end: dict):
+      |        raise Exception("error planning partitions")
+      |    def commit(self, end: dict):
+      |        raise Exception("error committing offset")
+      |    def read(self, partition):
+      |        yield (0, partition.value)
+      |        yield (1, partition.value)
+      |        yield (2, partition.value)
+      |""".stripMargin
+
+  private val errorDataSourceName = "ErrorDataSource"
+
+  test("simple data stream source") {
+    assume(shouldTestPandasUDFs)
+    val dataSourceScript =
+      s"""
+         |from pyspark.sql.datasource import DataSource
+         |$simpleDataStreamReaderScript
+         |
+         |class $dataSourceName(DataSource):
+         |    def streamReader(self, schema):
+         |        return SimpleDataStreamReader()
+         |""".stripMargin
+    val inputSchema = StructType.fromDDL("input BINARY")
+
+    val dataSource = createUserDefinedPythonDataSource(dataSourceName, 
dataSourceScript)
+    spark.dataSource.registerPython(dataSourceName, dataSource)
+    val pythonDs = new PythonDataSourceV2
+    pythonDs.setShortName("SimpleDataSource")
+    val stream = new PythonMicroBatchStream(
+      pythonDs, dataSourceName, inputSchema, CaseInsensitiveStringMap.empty())
+
+    val initialOffset = stream.initialOffset()
+    assert(initialOffset.json == "{\"offset\": \"0\"}")
+    for (_ <- 1 to 50) {
+      val offset = stream.latestOffset()
+      assert(offset.json == "{\"offset\": \"2\"}")
+      assert(stream.planInputPartitions(offset, offset).size == 2)
+      stream.commit(offset)
+    }
+    stream.stop()

Review Comment:
   read will be implemented in the next PR, it is executed in executor.



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