Files
impala/tests/data_errors/test_data_errors.py
Taras Bobrovytsky 609b80410e Clean up Python test import statements
Many of our test scripts have import statements that look like
"from xxx import *". It is a good practice to explicitly name what
needs to be imported. This commit implements this practice. Also,
unused import statements are removed.

Change-Id: I6a33bb66552ae657d1725f765842f648faeb26a8
Reviewed-on: http://gerrit.cloudera.org:8080/3444
Reviewed-by: Michael Brown <mikeb@cloudera.com>
Tested-by: Internal Jenkins
2016-07-15 23:26:18 +00:00

150 lines
5.8 KiB
Python
Raw Blame History

This file contains invisible Unicode characters
This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# encoding=utf-8
# Copyright (c) 2012 Cloudera, Inc. All rights reserved.
#
# Licensed 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
from tests.common.impala_test_suite import ImpalaTestSuite
from tests.common.skip import SkipIfS3, SkipIfLocal
class TestDataErrors(ImpalaTestSuite):
@classmethod
def add_test_dimensions(cls):
super(TestDataErrors, cls).add_test_dimensions()
@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']