| # encoding=utf-8 |
| # |
| # 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 Impala properly handles errors when reading and writing data. |
| |
| import pytest |
| import random |
| |
| from tests.common.impala_test_suite import ImpalaTestSuite |
| from tests.common.skip import SkipIfS3, SkipIfLocal |
| from tests.common.test_dimensions import create_exec_option_dimension |
| |
| class TestDataErrors(ImpalaTestSuite): |
| # batch_size of 1 can expose some interesting corner cases at row batch boundaries. |
| BATCH_SIZES = [0, 1] |
| |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestDataErrors, cls).add_test_dimensions() |
| cls.TestMatrix.add_dimension( |
| create_exec_option_dimension(batch_sizes=cls.BATCH_SIZES)) |
| |
| |
| @classmethod |
| def get_workload(self): |
| return 'functional-query' |
| |
| |
| @SkipIfS3.qualified_path |
| class TestHdfsScanNodeErrors(TestDataErrors): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestHdfsScanNodeErrors, cls).add_test_dimensions() |
| # Only run on delimited text with no compression. |
| cls.TestMatrix.add_constraint(lambda v:\ |
| v.get_value('table_format').file_format != 'hbase' and |
| v.get_value('table_format').file_format != 'parquet') |
| |
| def test_hdfs_scan_node_errors(self, vector): |
| # TODO: Run each test with abort_on_error=0 and abort_on_error=1. |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| if (vector.get_value('table_format').file_format != 'text'): |
| pytest.xfail("Expected results differ across file formats") |
| self.run_test_case('DataErrorsTest/hdfs-scan-node-errors', vector) |
| |
| |
| @SkipIfS3.qualified_path |
| @SkipIfLocal.qualified_path |
| class TestHdfsSeqScanNodeErrors(TestHdfsScanNodeErrors): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestHdfsSeqScanNodeErrors, cls).add_test_dimensions() |
| cls.TestMatrix.add_constraint(lambda v:\ |
| v.get_value('table_format').file_format == 'seq') |
| |
| def test_hdfs_seq_scan_node_errors(self, vector): |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| self.run_test_case('DataErrorsTest/hdfs-sequence-scan-errors', vector) |
| |
| |
| @SkipIfS3.qualified_path |
| class TestHdfsRcFileScanNodeErrors(TestHdfsScanNodeErrors): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestHdfsRcFileScanNodeErrors, cls).add_test_dimensions() |
| cls.TestMatrix.add_constraint(lambda v:\ |
| v.get_value('table_format').file_format == 'rc') |
| |
| def test_hdfs_rcfile_scan_node_errors(self, vector): |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| self.run_test_case('DataErrorsTest/hdfs-rcfile-scan-node-errors', vector) |
| |
| |
| class TestAvroErrors(TestDataErrors): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestAvroErrors, cls).add_test_dimensions() |
| cls.TestMatrix.add_constraint(lambda v: |
| v.get_value('table_format').file_format == 'avro' and |
| v.get_value('table_format').compression_codec == 'snap') |
| |
| def test_avro_errors(self, vector): |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| self.run_test_case('DataErrorsTest/avro-errors', vector) |
| |
| class TestHBaseDataErrors(TestDataErrors): |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestHBaseDataErrors, cls).add_test_dimensions() |
| |
| # Only run on hbase. |
| cls.TestMatrix.add_constraint(lambda v:\ |
| v.get_value('table_format').file_format == 'hbase' and\ |
| v.get_value('table_format').compression_codec == 'none') |
| |
| def test_hbase_scan_node_errors(self, vector): |
| pytest.xfail("hbasealltypeserror doesn't seem to return any errors") |
| |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| self.run_test_case('DataErrorsTest/hbase-scan-node-errors', vector) |
| |
| def test_hbase_insert_errors(self, vector): |
| pytest.xfail("hbasealltypeserror doesn't seem to return any errors") |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| self.run_test_case('DataErrorsTest/hbase-insert-errors', vector) |
| |
| |
| class TestTimestampErrors(TestDataErrors): |
| """ |
| Create test table with various valid/invalid timestamp values, then run |
| scan and aggregation queries to make sure Impala doesn't crash. |
| - value doesn't have date |
| - value contains non-ascii char |
| - value contains unicode char |
| - value is outside boost gregorian date range. |
| """ |
| @classmethod |
| def add_test_dimensions(cls): |
| super(TestTimestampErrors, cls).add_test_dimensions() |
| cls.TestMatrix.add_constraint(lambda v:\ |
| v.get_value('table_format').file_format == 'text') |
| |
| def _setup_test_table(self, fq_tbl_name): |
| create_stmt = "CREATE TABLE " + fq_tbl_name + " (col string)" |
| insert_stmt = "INSERT INTO TABLE " + fq_tbl_name + " values" + \ |
| "('1999-03-24 07:21:02'), ('2001-ån-02 12:12:15')," + \ |
| "('1997-1131 02:09:32'), ('1954-12-03 15:10:02')," + \ |
| "('12:10:02'), ('1001-04-23 21:08:19'), ('15:03:09')" |
| alter_stmt = "ALTER TABLE " + fq_tbl_name + " CHANGE col col timestamp" |
| self.client.execute(create_stmt) |
| self.client.execute(insert_stmt) |
| self.client.execute(alter_stmt) |
| |
| def test_timestamp_scan_agg_errors(self, vector, unique_database): |
| FQ_TBL_NAME = "%s.%s" % (unique_database, 'scan_agg_timestamp') |
| self._setup_test_table(FQ_TBL_NAME) |
| vector.get_value('exec_option')['abort_on_error'] = 0 |
| result = self.client.execute("SELECT AVG(col) FROM " + FQ_TBL_NAME) |
| assert result.data == ['1977-01-27 11:15:32'] |
| result = self.client.execute("SELECT * FROM " + FQ_TBL_NAME + " ORDER BY col") |
| assert len(result.data) == 7 |
| assert result.data == ['1954-12-03 15:10:02', '1999-03-24 07:21:02', \ |
| '12:10:02', '15:03:09', 'NULL', 'NULL', 'NULL'] |
| result = self.client.execute("SELECT COUNT(DISTINCT col) FROM " + FQ_TBL_NAME) |
| assert result.data == ['4'] |