| # 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. |
| # |
| # Tests for Hive-IMPALA compression codec interoperability |
| |
| from __future__ import absolute_import, division, print_function |
| import pytest |
| |
| from tests.common.environ import HIVE_MAJOR_VERSION |
| from tests.common.impala_test_suite import ImpalaTestSuite |
| from tests.common.skip import SkipIfFS |
| from tests.common.test_dimensions import create_exec_option_dimension |
| from tests.common.test_result_verifier import verify_query_result_is_equal |
| from tests.common.test_vector import ImpalaTestDimension, ImpalaTestMatrix |
| |
| # compression codecs impala support reading in text file type. Names use Hive convention. |
| TEXT_CODECS = ["Snappy", "Gzip", "ZStandard", "BZip2", "Deflate", "Default"] |
| |
| # compression codecs impala support reading in sequence file type |
| SEQUENCE_CODECS = list(TEXT_CODECS) |
| # Omit zstd due to IMPALA-12276. |
| SEQUENCE_CODECS.remove("ZStandard") |
| |
| |
| class TestFileCodecInterop(ImpalaTestSuite): |
| @classmethod |
| def setup_class(cls): |
| if cls.exploration_strategy() != 'exhaustive': |
| pytest.skip('runs only in exhaustive') |
| super(TestFileCodecInterop, cls).setup_class() |
| |
| @classmethod |
| def add_test_dimensions(cls): |
| cls.ImpalaTestMatrix = ImpalaTestMatrix() |
| # Fix the exec_option vector to have a single value. |
| cls.ImpalaTestMatrix.add_dimension(create_exec_option_dimension(sync_ddl=[1], |
| cluster_sizes=[0], disable_codegen_options=[False], batch_sizes=[0])) |
| |
| def verify_codec(self, unique_database, cluster_properties, format, codec): |
| # For Hive 3+, workaround for HIVE-22371 (CTAS puts files in the wrong place) by |
| # explicitly creating an external table so that files are in the external warehouse |
| # directory. Use external.table.purge=true so that it is equivalent to a Hive 2 |
| # managed table. Hive 2 stays the same. |
| external = "" |
| tblproperties = "" |
| if HIVE_MAJOR_VERSION >= 3: |
| external = "external" |
| tblproperties = "TBLPROPERTIES('external.table.purge'='TRUE')" |
| |
| # Write data in Hive and read from Impala |
| source_table = "functional_parquet.alltypes" |
| hive_table = "{0}.{1}".format(unique_database, "t1_hive") |
| self.run_stmt_in_hive("drop table if exists {0}".format(hive_table)) |
| self.run_stmt_in_hive("set hive.exec.compress.output=true;\ |
| set mapreduce.output.fileoutputformat.compress.codec=\ |
| org.apache.hadoop.io.compress.{0}Codec;\ |
| create {1} table {2} stored as {3} {4} as select * from {5}" |
| .format(codec, external, hive_table, format, tblproperties, source_table)) |
| |
| # Make sure hive CTAS table is not empty |
| assert self.run_stmt_in_hive("select count(*) from {0}".format( |
| hive_table)).split("\n")[1] != "0", "CTAS created Hive table is empty." |
| |
| # Make sure Impala's metadata is in sync. |
| if cluster_properties.is_catalog_v2_cluster(): |
| self.wait_for_table_to_appear(unique_database, "t1_hive", timeout_s=10) |
| else: |
| self.client.execute("invalidate metadata {0}".format(hive_table)) |
| |
| # Read Hive data in Impala and verify results. |
| base_result = self.execute_query_expect_success(self.client, |
| "select * from {0} order by id".format(source_table)) |
| test_result = self.execute_query_expect_success(self.client, |
| "select * from {0} order by id".format(hive_table)) |
| verify_query_result_is_equal(test_result.data, base_result.data) |
| |
| |
| class TestTextInterop(TestFileCodecInterop): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestTextInterop, cls).add_test_dimensions() |
| cls.ImpalaTestMatrix.add_dimension(ImpalaTestDimension('codec', *TEXT_CODECS)) |
| |
| @SkipIfFS.hive |
| def test_hive_impala_interop(self, vector, unique_database, cluster_properties): |
| """Tests compressed text file written by Hive with different codecs |
| can be read from impala. And verify results.""" |
| self.verify_codec( |
| unique_database, cluster_properties, 'textfile', vector.get_value('codec')) |
| |
| |
| class TestSequenceInterop(TestFileCodecInterop): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestSequenceInterop, cls).add_test_dimensions() |
| cls.ImpalaTestMatrix.add_dimension(ImpalaTestDimension('codec', *SEQUENCE_CODECS)) |
| |
| @SkipIfFS.hive |
| def test_hive_impala_interop(self, vector, unique_database, cluster_properties): |
| """Tests compressed sequence file written by Hive with different codecs |
| can be read from impala. And verify results.""" |
| self.verify_codec( |
| unique_database, cluster_properties, 'sequencefile', vector.get_value('codec')) |