anishshri-db commented on code in PR #47133: URL: https://github.com/apache/spark/pull/47133#discussion_r1680065191
########## python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py: ########## @@ -0,0 +1,152 @@ +# +# 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. +# + +import random +import shutil +import string +import sys +import tempfile +import pandas as pd +from pyspark.sql.streaming import StatefulProcessor, StatefulProcessorHandle +from typing import Iterator + +import unittest +from typing import cast + +from pyspark import SparkConf +from pyspark.sql.streaming.state import GroupStateTimeout, GroupState +from pyspark.sql.types import ( + LongType, + StringType, + StructType, + StructField, + Row, +) +from pyspark.testing.sqlutils import ( + ReusedSQLTestCase, + have_pandas, + have_pyarrow, + pandas_requirement_message, + pyarrow_requirement_message, +) +from pyspark.testing.utils import eventually + + [email protected]( + not have_pandas or not have_pyarrow, + cast(str, pandas_requirement_message or pyarrow_requirement_message), +) +class TransformWithStateInPandasTestsMixin: + @classmethod + def conf(cls): + cfg = SparkConf() + cfg.set("spark.sql.shuffle.partitions", "5") + cfg.set("spark.sql.streaming.stateStore.providerClass", + "org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider") + return cfg + + def _test_apply_in_pandas_with_state_basic(self, func, check_results): + input_path = tempfile.mkdtemp() + + def prepare_test_resource(): + with open(input_path + "/text-test.txt", "w") as fw: + fw.write("hello\n") + fw.write("this\n") + + prepare_test_resource() + + df = self.spark.readStream.format("text").load(input_path) + + for q in self.spark.streams.active: + q.stop() + self.assertTrue(df.isStreaming) + + output_type = StructType( + [StructField("key", StringType()), StructField("countAsString", StringType())] + ) + state_type = StructType([StructField("c", LongType())]) + + q = ( + df.groupBy(df["value"]) + .transformWithStateInPandas(stateful_processor = SimpleStatefulProcessor(), + outputStructType=output_type, + outputMode="Update", + timeMode="None") + .writeStream.queryName("this_query") + .foreachBatch(check_results) + .outputMode("update") + .start() + ) + + self.assertEqual(q.name, "this_query") + self.assertTrue(q.isActive) + q.processAllAvailable() + self.assertTrue(q.exception() is None) + + def test_apply_in_pandas_with_state_basic(self): + def func(key, pdf_iter, state): + assert isinstance(state, GroupState) + + total_len = 0 + for pdf in pdf_iter: + total_len += len(pdf) + + state.update((total_len,)) + assert state.get[0] == 1 + yield pd.DataFrame({"key": [key[0]], "countAsString": [str(total_len)]}) + + def check_results(batch_df, _): + assert set(batch_df.sort("key").collect()) == { + Row(key="hello", countAsString="1"), + Row(key="this", countAsString="1"), + } + + self._test_apply_in_pandas_with_state_basic(func, check_results) + + +class SimpleStatefulProcessor(StatefulProcessor): + def init(self, handle: StatefulProcessorHandle) -> None: + state_schema = StructType([ + StructField("value", StringType(), True) + ]) + self.value_state = handle.getValueState("testValueState", state_schema) + def handleInputRows(self, key, rows) -> Iterator[pd.DataFrame]: + self.value_state.update("test_value") + exists = self.value_state.exists() + value = self.value_state.get() + self.value_state.clear() + return rows + def close(self) -> None: + pass + + +class TransformWithStateInPandasTests( + TransformWithStateInPandasTestsMixin, ReusedSQLTestCase +): + pass + + +if __name__ == "__main__": + from pyspark.sql.tests.pandas.test_pandas_grouped_map_with_state import * # noqa: F401 + + try: + import xmlrunner + + testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) + except ImportError: + testRunner = None + unittest.main(testRunner=testRunner, verbosity=2) Review Comment: nit: do we need newline here ? -- This is an automated message from the Apache Git Service. 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