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To remove the dependency on Python 2, existing scripts need to use python3 rather than python. These commands find those locations (for impala-python and regular python): git grep impala-python | grep -v impala-python3 | grep -v impala-python-common | grep -v init-impala-python git grep bin/python | grep -v python3 This removes or switches most of these locations by various means: 1. If a python file has a #!/bin/env impala-python (or python) but doesn't have a main function, it removes the hash-bang and makes sure that the file is not executable. 2. Most scripts can simply switch from impala-python to impala-python3 (or python to python3) with minimal changes. 3. The cm-api pypi package (which doesn't support Python 3) has been replaced by the cm-client pypi package and interfaces have changed. Rather than migrating the code (which hasn't been used in years), this deletes the old code and stops installing cm-api into the virtualenv. The code can be restored and revamped if there is any interest in interacting with CM clusters. 4. This switches tests/comparison over to impala-python3, but this code has bit-rotted. Some pieces can be run manually, but it can't be fully verified with Python 3. It shouldn't hold back the migration on its own. 5. This also replaces locations of impala-python in comments / documentation / READMEs. 6. kazoo (used for interacting with HBase) needed to be upgraded to a version that supports Python 3. The newest version of kazoo requires upgrades of other component versions, so this uses kazoo 2.8.0 to avoid needing other upgrades. The two remaining uses of impala-python are: - bin/cmake_aux/create_virtualenv.sh - bin/impala-env-versioned-python These will be removed separately when we drop Python 2 support completely. In particular, these are useful for testing impala-shell with Python 2 until we stop supporting Python 2 for impala-shell. The docker-based tests still use /usr/bin/python, but this can be switched over independently (and doesn't impact impala-python) Testing: - Ran core job - Ran build + dataload on Centos 7, Redhat 8 - Manual testing of individual scripts (except some bitrotted areas like the random query generator) Change-Id: If209b761290bc7e7c716c312ea757da3e3bca6dc Reviewed-on: http://gerrit.cloudera.org:8080/23468 Reviewed-by: Michael Smith <michael.smith@cloudera.com> Tested-by: Michael Smith <michael.smith@cloudera.com>
325 lines
12 KiB
Python
Executable File
325 lines
12 KiB
Python
Executable File
#!/usr/bin/env impala-python3
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#
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# 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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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 pickle
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import stat
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import time
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from time import sleep
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try:
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from flask import Flask, render_template, request
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except ImportError as e:
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raise Exception(
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"Please run impala-pip install -r $IMPALA_HOME/infra/python/deps/extended-test-"
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"requirements.txt:\n{0}".format(str(e)))
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from tests.comparison.leopard.schedule_item import ScheduleItem
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from tests.comparison.leopard.controller import PATH_TO_REPORTS, PATH_TO_SCHEDULE
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from threading import Thread
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from tests.comparison.query_profile import DefaultProfile
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from tests.comparison.db_types import (
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Boolean,
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Char,
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Decimal,
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Float,
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Int,
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TYPES,
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Timestamp)
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MAX_REPORT_AGE = 21 * 24 * 3600 # 21 days
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SLEEP_LENGTH = 20 * 60 # 20 min
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LOG = logging.getLogger('leopard.front_end')
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app = Flask(__name__)
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app.reports = {}
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ASSETS = {'bootstrap_css': 'css/bootstrap.min.css',
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'hljs_css': 'css/default.css',
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'favicon': 'favicon.ico',
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'bootstrap_js': 'js/bootstrap.min.js',
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'hljs_js': 'js/highlight.pack.js'}
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@app.route('/reports/<report_id>')
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def show_report(report_id):
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'''Renders a report as HTML. '''
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if report_id not in app.reports:
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with open(os.path.join(PATH_TO_REPORTS, report_id), 'r') as f:
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app.reports[report_id] = pickle.load(f)
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report = app.reports[report_id]
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def get_next_id():
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'''Generates all natural numbers. '''
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i = 0
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while True:
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yield str(i)
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i += 1
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gen = get_next_id()
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# Generate HTML for displaying the crashes
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outer_crashes_list = []
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for first_impala_frame in report.grouped_stacks:
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crashes_list = []
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# results are sorted on the length of the query SQL
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for result in sorted(report.grouped_stacks[first_impala_frame],
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key = lambda result: len(result['test_sql'])):
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inner_id = next(gen)
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inner_title = 'Lines in Stack: {0}'.format(
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len(result['formatted_stack'].split('\n')))
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content = ('<h4>Impala Query:</h4><pre><code>{0}</code></pre>'
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'<h4>Stack:</h4><pre>{1}</pre>').format(
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result['test_sql'], result['formatted_stack'][:50000])
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crashes_list.append((inner_id, inner_title, content))
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id = next(gen)
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title = first_impala_frame
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outer_crashes_list.append((id, title, crashes_list))
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# Generate HTML for displaying result row count mismatches
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row_count_list = []
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for result in sorted(report.grouped_results['row_counts'],
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key = lambda result: len(result['test_sql'])):
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id = next(gen)
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title = 'Impala Rows: {0}, Postgres Rows: {1}'.format(
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result['test_row_count'], result['ref_row_count'])
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content = ('<h4>Impala Query:</h4><pre><code>{0}</code></pre>'
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'<h4>Postgres Query:</h4><pre><code>{1}</code></pre>').format(
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result['test_sql'], result['ref_sql'])
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row_count_list.append((id, title, content))
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# Generate HTML for displaying result content mismatches
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mismatch_list = []
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for result in sorted(report.grouped_results['mismatch'],
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key = lambda result: len(result['test_sql'])):
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id = next(gen)
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title = 'Query Length: {0}'.format(len(result['test_sql']))
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content = ('<h4>Impala Query:</h4><pre><code>{0}</code></pre>'
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'<h4>Postgres Query:</h4><pre><code>{1}</code></pre>'
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'<h4>Mismatch Impala Row:</h4><pre><code>{2}</code></pre>'
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'<h4>Mismatch Postgres Row:</h4><pre><code>{3}</code></pre>').format(
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result['test_sql'],
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result['ref_sql'],
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result['mismatch_test_row'],
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result['mismatch_ref_row'])
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mismatch_list.append((id, title, content))
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return render_template(
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'report.template',
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assets=ASSETS,
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report=report,
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outer_crashes_list=outer_crashes_list,
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row_count_list=row_count_list,
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mismatch_list=mismatch_list)
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@app.route('/start_run', methods=['POST', 'GET'])
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def start_run():
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'''Method that receives POST requests and gernerates a schedule item.'''
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if request.method != 'POST': return 'fail'
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if 'time_limit' in request.form:
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# This is a custom run because time_limit item is present only in the custom_run form.
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# Values will be extracted from the form and a new profile will be generated.
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new_profile = DefaultProfile()
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# Bounds
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new_profile._bounds['MAX_NESTED_QUERY_COUNT'] = (
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int(request.form['max_nested_query_count_from']),
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int(request.form['max_nested_query_count_to']))
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new_profile._bounds['MAX_NESTED_EXPR_COUNT'] = (
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int(request.form['max_nested_expr_count_from']),
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int(request.form['max_nested_expr_count_to']))
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new_profile._bounds['SELECT_ITEM_COUNT'] = (
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int(request.form['select_item_count_from']),
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int(request.form['select_item_count_to']))
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new_profile._bounds['WITH_TABLE_COUNT'] = (
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int(request.form['with_table_count_from']),
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int(request.form['with_table_count_to']))
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new_profile._bounds['TABLE_COUNT'] = (
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int(request.form['table_count_from']),
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int(request.form['table_count_to']))
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new_profile._bounds['ANALYTIC_LEAD_LAG_OFFSET'] = (
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int(request.form['analytic_lead_lag_offset_from']),
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int(request.form['analytic_lead_lag_offset_to']))
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new_profile._bounds['ANALYTIC_WINDOW_OFFSET'] = (
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int(request.form['analytic_window_offset_from']),
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int(request.form['analytic_window_offset_to']))
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# Select Item Category
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new_profile._weights['SELECT_ITEM_CATEGORY']['AGG'] = int(
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request.form['select_agg'])
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new_profile._weights['SELECT_ITEM_CATEGORY']['ANALYTIC'] = int(
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request.form['select_analytic'])
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new_profile._weights['SELECT_ITEM_CATEGORY']['BASIC'] = int(
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request.form['select_basic'])
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# Types
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new_profile._weights['TYPES'][Boolean] = int(request.form['types_boolean'])
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new_profile._weights['TYPES'][Char] = int(request.form['types_char'])
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new_profile._weights['TYPES'][Decimal] = int(request.form['types_decimal'])
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new_profile._weights['TYPES'][Float] = int(request.form['types_float'])
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new_profile._weights['TYPES'][Int] = int(request.form['types_int'])
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new_profile._weights['TYPES'][Timestamp] = int(request.form['types_timestamp'])
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# Join
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new_profile._weights['JOIN']['INNER'] = int(request.form['join_inner'])
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new_profile._weights['JOIN']['LEFT'] = int(request.form['join_left'])
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new_profile._weights['JOIN']['RIGHT'] = int(request.form['join_right'])
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new_profile._weights['JOIN']['FULL_OUTER'] = int(request.form['join_full_outer'])
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new_profile._weights['JOIN']['CROSS'] = int(request.form['join_cross'])
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# Optional Query Clauses Probabilities
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['WITH'] = float(
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request.form['optional_with'])
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['FROM'] = float(
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request.form['optional_from'])
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['WHERE'] = float(
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request.form['optional_where'])
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['GROUP_BY'] = float(
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request.form['optional_group_by'])
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['HAVING'] = float(
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request.form['optional_having'])
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['UNION'] = float(
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request.form['optional_union'])
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new_profile._probabilities['OPTIONAL_QUERY_CLAUSES']['ORDER_BY'] = float(
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request.form['optional_order_by'])
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# Optional Analytic Clauses Probabilities
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new_profile._probabilities['OPTIONAL_ANALYTIC_CLAUSES']['PARTITION_BY'] = float(
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request.form['optional_analytic_partition_by'])
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new_profile._probabilities['OPTIONAL_ANALYTIC_CLAUSES']['ORDER_BY'] = float(
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request.form['optional_analytic_order_by'])
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new_profile._probabilities['OPTIONAL_ANALYTIC_CLAUSES']['WINDOW'] = float(
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request.form['optional_analytic_window'])
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# Misc Probabilities
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new_profile._probabilities['MISC']['INLINE_VIEW'] = float(
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request.form['misc_inline_view'])
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new_profile._probabilities['MISC']['SELECT_DISTINCT'] = float(
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request.form['misc_select_distinct'])
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new_profile._probabilities['MISC']['SCALAR_SUBQUERY'] = float(
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request.form['misc_scalar_subquery'])
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new_profile._probabilities['MISC']['UNION_ALL'] = float(
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request.form['misc_union_all'])
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# Analytic Designs
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new_profile._flags['ANALYTIC_DESIGNS']['TOP_LEVEL_QUERY_WITHOUT_LIMIT'] = \
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'analytic_designs_top_level_no_limit' in request.form
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new_profile._flags['ANALYTIC_DESIGNS']['DETERMINISTIC_ORDER_BY'] = \
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'analytic_designs_deterministic_order_by' in request.form
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new_profile._flags['ANALYTIC_DESIGNS']['NO_ORDER_BY'] = \
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'analytic_designs_no_order_by' in request.form
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new_profile._flags['ANALYTIC_DESIGNS']['ONLY_SELECT_ITEM'] = \
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'analytic_designs_only_select_item' in request.form
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new_profile._flags['ANALYTIC_DESIGNS']['UNBOUNDED_WINDOW'] = \
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'analytic_designs_unbounded_window' in request.form
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new_profile._flags['ANALYTIC_DESIGNS']['RANK_FUNC'] = \
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'analytic_designs_rank_func' in request.form
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schedule_item = ScheduleItem(
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run_name = request.form['run_name'],
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query_profile = new_profile,
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time_limit_sec = int(request.form['time_limit']),
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git_command = request.form['git_command'],
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parent_job = '')
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else:
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# Run based on previous run
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schedule_item = ScheduleItem(
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run_name = request.form['run_name'],
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query_profile = DefaultProfile(),
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time_limit_sec = 24 * 3600, # Default time limit is 24 hours
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git_command = request.form['git_command'],
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parent_job = request.form['report_id'])
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schedule_item.save_pickle()
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return 'success'
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@app.route("/custom_run")
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def custom_run():
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'''Render the custom run page.
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'''
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return render_template(
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'custom_run.template',
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assets=ASSETS)
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def reload_reports():
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'''Reload reports in the reports directory every 20 minutes. Loaded reports are placed
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into app.reports. This allows new reports to appear on the front page. Only reports
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from the past 7 days are loaded. This method should be run in a separate thread.
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'''
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while True:
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new_reports = {}
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try:
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report_ids = os.listdir(PATH_TO_REPORTS)
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except EnvironmentError as e:
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report_ids = []
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LOG.warn('{0}: {1}'.format(e.filename, e.strerror))
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for report_id in report_ids:
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file_age = time.time() - os.stat(
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os.path.join(PATH_TO_REPORTS, report_id))[stat.ST_MTIME]
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if file_age < MAX_REPORT_AGE:
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# We want this report
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if report_id in app.reports:
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new_reports[report_id] = app.reports[report_id]
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else:
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with open(os.path.join(PATH_TO_REPORTS, report_id), 'r') as f:
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new_reports[report_id] = pickle.load(f)
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app.reports = new_reports
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sleep(SLEEP_LENGTH)
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@app.route("/")
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def front_page():
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'''Renders the front page as HTML.
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'''
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try:
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schedule_item_ids = os.listdir(PATH_TO_SCHEDULE)
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except EnvironmentError as e:
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schedule_item_ids = []
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LOG.warn('{0}: {1}'.format(e.filename, e.strerror))
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schedule_items = []
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for schedule_item_id in schedule_item_ids:
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schedule_items.append(pickle.load(
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open(os.path.join(PATH_TO_SCHEDULE, schedule_item_id), 'r')))
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return render_template(
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'index.template',
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assets=ASSETS,
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reports=sorted(
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app.reports.items(), key=lambda k, report: report.run_date, reverse=True),
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schedule_items=schedule_items)
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if __name__ == '__main__':
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logging.basicConfig(
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format='%(asctime)s %(levelname)s [%(name)s.%(threadName)s:%(lineno)s]: '
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'%(message)s',
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level=logging.INFO)
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thread = Thread(name='reload_reports', target=reload_reports)
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thread.daemon = True
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thread.start()
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app.run(host='0.0.0.0', debug=False)
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