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This takes steps to make Python 2 behave like Python 3 as
a way to flush out issues with running on Python 3. Specifically,
it handles two main differences:
1. Python 3 requires absolute imports within packages. This
can be emulated via "from __future__ import absolute_import"
2. Python 3 changed division to "true" division that doesn't
round to an integer. This can be emulated via
"from __future__ import division"
This changes all Python files to add imports for absolute_import
and division. For completeness, this also includes print_function in the
import.
I scrutinized each old-division location and converted some locations
to use the integer division '//' operator if it needed an integer
result (e.g. for indices, counts of records, etc). Some code was also using
relative imports and needed to be adjusted to handle absolute_import.
This fixes all Pylint warnings about no-absolute-import and old-division,
and these warnings are now banned.
Testing:
- Ran core tests
Change-Id: Idb0fcbd11f3e8791f5951c4944be44fb580e576b
Reviewed-on: http://gerrit.cloudera.org:8080/19588
Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com>
Tested-by: Joe McDonnell <joemcdonnell@cloudera.com>
281 lines
9.2 KiB
Python
281 lines
9.2 KiB
Python
# Licensed to the Apache Software Foundation (ASF) 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. The ASF 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# Module used for executing queries and gathering results.
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# The QueryExecutor is meant to be generic and doesn't
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# have the knowledge of how to actually execute a query. It takes a query and its config
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# and executes is against a executor function.
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# For example (in pseudo-code):
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#
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# def exec_func(query, config):
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# ...
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#
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# config = ImpalaBeeswaxQueryExecConfig()
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# executor = QueryExecutor('beeswax', query, config, exec_func)
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# executor.run()
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# result = executor.result
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from __future__ import absolute_import, division, print_function
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import logging
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import os
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import re
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from tests.performance.query import Query
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# Setup logging for this module.
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LOG = logging.getLogger('query_executor')
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LOG.setLevel(level=logging.INFO)
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# Globals.
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hive_result_regex = 'Time taken: (\d*).(\d*) seconds'
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# Match any CRUD statement that can follow EXPLAIN.
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# The statement may begin with SQL line comments starting with --
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COMMENT_LINES_REGEX = r'(?:\s*--.*\n)*'
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DDL_CRUD_PATTERN = \
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re.compile(COMMENT_LINES_REGEX +
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r'\s*((CREATE|DELETE|INSERT|SELECT|UPDATE|UPSERT|WITH)\s|VALUES\s*\()',
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re.IGNORECASE)
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## TODO: Split executors into their own modules.
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class QueryExecConfig(object):
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"""Base Class for Execution Configs
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Attributes:
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plugin_runner (PluginRunner?)
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"""
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def __init__(self, plugin_runner=None):
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self.plugin_runner = plugin_runner
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class ImpalaQueryExecConfig(QueryExecConfig):
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"""Base class for Impala query execution config
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Attributes:
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impalad (str): address of impalad <host>:<port>
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"""
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def __init__(self, plugin_runner=None, impalad='localhost:21000'):
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super(ImpalaQueryExecConfig, self).__init__(plugin_runner=plugin_runner)
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self._impalad = impalad
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@property
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def impalad(self):
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return self._impalad
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@impalad.setter
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def impalad(self, value):
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self._impalad = value
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class JdbcQueryExecConfig(ImpalaQueryExecConfig):
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"""Impala query execution config for jdbc
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Attributes:
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tranport (?): ?
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"""
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JDBC_CLIENT_PATH = os.path.join(os.environ['IMPALA_HOME'], 'bin/run-jdbc-client.sh')
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def __init__(self, plugin_runner=None, impalad='localhost:21050', transport=None):
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super(JdbcQueryExecConfig, self).__init__(plugin_runner=plugin_runner,
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impalad=impalad)
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self.transport = transport
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@property
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def jdbc_client_cmd(self):
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"""The args to run the jdbc client.
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Constructed on the fly, since the impalad it points to can change.
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"""
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assert self.transport is not None
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return JdbcQueryExecConfig.JDBC_CLIENT_PATH + ' -i "%s" -t %s' % (self._impalad,
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self.transport)
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class ImpalaHS2QueryConfig(ImpalaQueryExecConfig):
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def __init__(self, use_kerberos=False, impalad="localhost:21050", plugin_runner=None):
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super(ImpalaHS2QueryConfig, self).__init__(plugin_runner=plugin_runner,
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impalad=impalad)
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# TODO Use a config dict for query execution options similar to HS2
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self.use_kerberos = use_kerberos
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class HiveHS2QueryConfig(QueryExecConfig):
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def __init__(self,
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plugin_runner=None,
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exec_options = None,
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use_kerberos=False,
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user=None,
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hiveserver='localhost'):
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super(HiveHS2QueryConfig, self).__init__()
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self.exec_options = dict()
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self._build_options(exec_options)
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self.use_kerberos = use_kerberos
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self.user = user
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self.hiveserver = hiveserver
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def _build_options(self, exec_options):
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"""Read the exec_options into self.exec_options
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Args:
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exec_options (str): String formatted as "command1;command2"
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"""
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if exec_options:
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# exec_options are seperated by ; on the command line
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options = exec_options.split(';')
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for option in options:
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key, value = option.split(':')
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# The keys in HiveService QueryOptions are lower case.
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self.exec_options[key.lower()] = value
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class BeeswaxQueryExecConfig(ImpalaQueryExecConfig):
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"""Impala query execution config for beeswax
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Args:
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use_kerberos (boolean)
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exec_options (str): String formatted as "opt1:val1;opt2:val2"
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impalad (str): address of impalad <host>:<port>
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plugin_runner (?): ?
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Attributes:
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use_kerberos (boolean)
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exec_options (dict str -> str): execution options
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"""
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def __init__(self, use_kerberos=False, exec_options=None, impalad='localhost:21000',
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plugin_runner=None, user=None, password=None, use_ssl=False):
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super(BeeswaxQueryExecConfig, self).__init__(plugin_runner=plugin_runner,
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impalad=impalad)
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self.use_kerberos = use_kerberos
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self.exec_options = dict()
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self._build_options(exec_options)
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self.user = user
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self.password = password
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self.use_ssl = use_ssl
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def _build_options(self, exec_options):
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"""Read the exec_options into self.exec_options
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Args:
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exec_options (str): String formatted as "opt1:val1;opt2:val2"
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"""
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if exec_options:
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# exec_options are seperated by ; on the command line
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options = exec_options.split(';')
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for option in options:
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key, value = option.split(':')
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# The keys in ImpalaService QueryOptions are upper case.
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self.exec_options[key.upper()] = value
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class QueryExecutor(object):
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"""Executes one or more queries.
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Args:
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name (str): eg. "hive"
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query (Query): Container holding 1 or more ;-delimited SQL statements to be executed
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func (function): Function that accepts a QueryExecOption parameter and returns a
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ImpalaQueryResult. Eg. execute_using_impala_beeswax
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config (QueryExecOption)
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exit_on_error (boolean): Exit right after an error encountered.
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Attributes:
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exec_func (function): Function that accepts a QueryExecOption parameter and returns
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an ImpalaQueryResult.
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exec_config (QueryExecOption)
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query (Query): Container holding 1 or more ;-delimited SQL statements to be executed
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exit_on_error (boolean): Exit right after an error encountered.
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executor_name (str): eg. "hive"
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result (ImpalaQueryResult): Contains the result after execute method is called.
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"""
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def __init__(self, name, query, func, config, exit_on_error):
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self.exec_func = func
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self.exec_config = config
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self.query = query
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self.exit_on_error = exit_on_error
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self.executor_name = name
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self._result = None
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def prepare(self, impalad):
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"""Prepare the query to be run.
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For now, this sets the impalad that the query connects to. If the executor is hive,
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it's a no op.
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"""
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if 'hive' not in self.executor_name:
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self.exec_config.impalad = impalad
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def execute(self, plan_first=False):
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"""Execute a set of SQL statements using the given execution function,
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and return a result object. SQL statements can be the familiar SELECT, INSERT,
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DELETE, UPDATE and UPSERT DML commands as well as utilities like SET, SHOW,
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VERSION, etc.
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If plan_first is true, EXPLAIN the "explainable" queries in the set
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first so timing does not include the initial metadata loading
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required for planning.
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This function furnishes a query result object in self._result, for the last
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query in the batch ONLY.
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"""
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assert isinstance(self.query, Query)
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orig_query_str = self.query.query_str
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try:
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statements = self.query.query_str.split(';')
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if plan_first:
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# Break out multiple statements in self.query
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for stmt in statements:
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ddl_crud_match = DDL_CRUD_PATTERN.match(stmt)
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if not ddl_crud_match:
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# Don't EXPLAIN this statement
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continue
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self.query.query_str = 'EXPLAIN ' + stmt + ';'
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LOG.debug('Planning %s' % self.query.query_str)
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self.exec_func(self.query, self.exec_config)
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# Now actually execute
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for stmt in statements:
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self.query.query_str = stmt + ';'
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LOG.debug('Executing %s' % self.query.query_str)
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self._result = self.exec_func(self.query, self.exec_config)
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if not self._result.success:
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if self.exit_on_error:
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raise RuntimeError(self._result.query_error)
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else:
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LOG.info("Continuing execution")
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finally:
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self.query.query_str = orig_query_str
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# We do not need to restore the SET options we changed for the next batch
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# (Query object) because the scheduler runs each Query on its own connection
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# (XXX pretty strange for a performance test. :)
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@property
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def result(self):
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"""Getter for the result of the query execution.
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A result is a ImpalaQueryResult object that contains the details of a single run of
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the query.
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"""
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return self._result
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