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+#!/usr/bin/env python
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+# -*- coding: utf-8 -*-
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+# Licensed to Cloudera, Inc. under one
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+# or more contributor license agreements. See the NOTICE file
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+# distributed with this work for additional information
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+# regarding copyright ownership. Cloudera, Inc. licenses this file
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+# to you under the Apache License, Version 2.0 (the
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+# "License"); you may not use this file except in compliance
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+# with the License. You may obtain a copy of the License at
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+#
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+# http://www.apache.org/licenses/LICENSE-2.0
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+#
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+# Unless required by applicable law or agreed to in writing, software
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+# distributed under the License is distributed on an "AS IS" BASIS,
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+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+# See the License for the specific language governing permissions and
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+# limitations under the License.
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+
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+import logging
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+import sys
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+
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+if sys.version_info[0] > 2:
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+ from unittest.mock import patch, Mock
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+else:
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+ from mock import patch, Mock
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+
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+from nose.tools import assert_equal, assert_true
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+
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+from beeswax.server.hive_server2_lib import HiveServerTable
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+
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+
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+LOG = logging.getLogger(__name__)
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+
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+
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+class TestHiveServerTable():
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+
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+ def test_cols_impala(self):
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+
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+ table_results = Mock()
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+ table_schema = Mock()
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+ desc_results = Mock(
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+ columns=[
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+ # Dump of `DESCRIBE FORMATTED table`
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+ Mock(stringVal=Mock(values=['# col_name', '', 'code', 'description', 'total_emp', 'salary', '', '# Detailed Table Information', 'Database:', 'OwnerType:', 'Owner:', 'CreateTime:', 'LastAccessTime:', 'Retention:', 'Location:', 'Table Type:', 'Table Parameters:', '', '', '', '', '', '', '', '', '', '', '# Storage Information', 'SerDe Library:', 'InputFormat:', 'OutputFormat:', 'Compressed:', 'Num Buckets:', 'Bucket Columns:', 'Sort Columns:', 'Storage Desc Params:', ], nulls='')),
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+ Mock(stringVal=Mock(values=['data_type', 'NULL', 'string', 'string', 'int', 'int', 'NULL', 'NULL', 'default', 'USER', 'hive', 'Mon Nov 04 07:44:10 PST 2019', 'UNKNOWN', '0', 'hdfs://nightly7x-unsecure-1.vpc.cloudera.com:8020/warehouse/tablespace/managed/hive/sample_07', 'MANAGED_TABLE', 'NULL', 'COLUMN_STATS_ACCURATE', 'bucketing_version', 'numFiles', 'numRows', 'rawDataSize', 'totalSize', 'transactional', 'transactional_properties', 'transient_lastDdlTime', 'NULL', 'NULL', 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe', 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat', 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat', 'No', '-1', '[]', '[]', 'NULL', 'serialization.format', ], nulls='')),
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+ Mock(stringVal=Mock(values=['comment', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', '{\"BASIC_STATS\":\"true\",\"COLUMN_STATS\":{\"code\":\"true\",\"description\":\"true\",\"salary\":\"true\",\"total_emp\":\"true\"}}', '2', '1', '822', '3288', '48445', 'true', 'insert_only', '1572882268', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', '1', ], nulls='')),
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+ ]
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+ )
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+ desc_schema = Mock(
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+ columns=[
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+ Mock(columnName='col_name'),
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+ Mock(columnName='data_type'),
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+ Mock(columnName='comment')
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+ ]
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+ )
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+
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+ table = HiveServerTable(
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+ table_results=table_results,
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+ table_schema=table_schema,
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+ desc_results=desc_results,
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+ desc_schema=desc_schema
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+ )
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+
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+ assert_equal(len(table.cols), 4)
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+ assert_equal(table.cols[0], {'col_name': 'code', 'data_type': 'string', 'comment': 'NULL'})
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+ assert_equal(table.cols[1], {'col_name': 'description', 'data_type': 'string', 'comment': 'NULL'})
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+ assert_equal(table.cols[2], {'col_name': 'total_emp', 'data_type': 'int', 'comment': 'NULL'})
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+ assert_equal(table.cols[3], {'col_name': 'salary', 'data_type': 'int', 'comment': 'NULL'})
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+
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+
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+ def test_cols_hive_tez(self):
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+
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+ table_results = Mock()
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+ table_schema = Mock()
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+ desc_results = Mock(
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+ columns=[
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+ # Dump of `DESCRIBE FORMATTED table`
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+ Mock(stringVal=Mock(values=['code', 'description', 'total_emp', 'salary', '', '# Detailed Table Information', 'Database: ', 'OwnerType: ', 'Owner: ', 'CreateTime: ', 'LastAccessTime: ', 'Retention: ', 'Location: ', 'Table Type: ', 'Table Parameters:', '', '', '', '', '', '', '', '', '', '', '# Storage Information', 'SerDe Library: ', 'InputFormat: ', 'OutputFormat: ', 'Compressed: ', 'Num Buckets: ', 'Bucket Columns: ', 'Sort Columns: ', 'Storage Desc Params:', ], nulls='')),
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+ Mock(stringVal=Mock(values=['string', 'string', 'int', 'int', 'NULL', 'NULL', 'default ', 'USER ', 'hive ', 'Mon Nov 04 07:44:10 PST 2019', 'UNKNOWN ', '0', 'hdfs://nightly7x-unsecure-1.vpc.cloudera.com:8020/warehouse/tablespace/managed/hive/sample_07', 'MANAGED_TABLE ', 'NULL', 'COLUMN_STATS_ACCURATE', 'bucketing_version ', 'numFiles ', 'numRows ', 'rawDataSize ', 'totalSize ', 'transactional ', 'transactional_properties', 'transient_lastDdlTime', 'NULL', 'NULL', 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe', 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat', 'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat', 'No ', '-1', '[] ', '[] ', 'NULL', 'serialization.format', ], nulls='')),
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+ Mock(stringVal=Mock(values=['', '', '', '', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', '{\"BASIC_STATS\":\"true\",\"COLUMN_STATS\":{\"code\":\"true\",\"description\":\"true\",\"salary\":\"true\",\"total_emp\":\"true\"}}', '2', '1', '822', '3288', '48445', 'TRUE', 'insert_only ', '1572882268', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', '1', ], nulls='')),
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+ ]
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+ )
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+ desc_schema = Mock(
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+ columns=[
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+ Mock(columnName='col_name'),
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+ Mock(columnName='data_type'),
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+ Mock(columnName='comment')
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+ ]
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+ )
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+
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+ table = HiveServerTable(
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+ table_results=table_results,
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+ table_schema=table_schema,
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+ desc_results=desc_results,
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+ desc_schema=desc_schema
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+ )
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+
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+ assert_equal(len(table.cols), 4)
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+ assert_equal(table.cols[0], {'col_name': 'code', 'data_type': 'string', 'comment': ''})
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+ assert_equal(table.cols[1], {'col_name': 'description', 'data_type': 'string', 'comment': ''})
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+ assert_equal(table.cols[2], {'col_name': 'total_emp', 'data_type': 'int', 'comment': ''})
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+ assert_equal(table.cols[3], {'col_name': 'salary', 'data_type': 'int', 'comment': ''})
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