d44e6c7f10
This reverts commit d1b24d8aba
.
756 lines
21 KiB
Python
756 lines
21 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# 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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from functools import total_ordering
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import itertools
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import re
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all_modules = []
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@total_ordering
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class Module(object):
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"""
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A module is the basic abstraction in our test runner script. Each module consists of a set
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of source files, a set of test commands, and a set of dependencies on other modules. We use
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modules to define a dependency graph that let us determine which tests to run based on which
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files have changed.
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"""
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def __init__(self, name, dependencies, source_file_regexes, build_profile_flags=(),
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environ=None, sbt_test_goals=(), python_test_goals=(),
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excluded_python_implementations=(), test_tags=(), should_run_r_tests=False,
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should_run_build_tests=False):
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"""
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Define a new module.
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:param name: A short module name, for display in logging and error messages.
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:param dependencies: A set of dependencies for this module. This should only include direct
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dependencies; transitive dependencies are resolved automatically.
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:param source_file_regexes: a set of regexes that match source files belonging to this
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module. These regexes are applied by attempting to match at the beginning of the
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filename strings.
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:param build_profile_flags: A set of profile flags that should be passed to Maven or SBT in
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order to build and test this module (e.g. '-PprofileName').
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:param environ: A dict of environment variables that should be set when files in this
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module are changed.
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:param sbt_test_goals: A set of SBT test goals for testing this module.
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:param python_test_goals: A set of Python test goals for testing this module.
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:param excluded_python_implementations: A set of Python implementations that are not
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supported by this module's Python components. The values in this set should match
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strings returned by Python's `platform.python_implementation()`.
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:param test_tags A set of tags that will be excluded when running unit tests if the module
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is not explicitly changed.
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:param should_run_r_tests: If true, changes in this module will trigger all R tests.
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:param should_run_build_tests: If true, changes in this module will trigger build tests.
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"""
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self.name = name
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self.dependencies = dependencies
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self.source_file_prefixes = source_file_regexes
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self.sbt_test_goals = sbt_test_goals
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self.build_profile_flags = build_profile_flags
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self.environ = environ or {}
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self.python_test_goals = python_test_goals
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self.excluded_python_implementations = excluded_python_implementations
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self.test_tags = test_tags
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self.should_run_r_tests = should_run_r_tests
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self.should_run_build_tests = should_run_build_tests
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self.dependent_modules = set()
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for dep in dependencies:
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dep.dependent_modules.add(self)
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all_modules.append(self)
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def contains_file(self, filename):
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return any(re.match(p, filename) for p in self.source_file_prefixes)
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def __repr__(self):
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return "Module<%s>" % self.name
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def __lt__(self, other):
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return self.name < other.name
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def __eq__(self, other):
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return self.name == other.name
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def __ne__(self, other):
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return not (self.name == other.name)
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def __hash__(self):
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return hash(self.name)
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tags = Module(
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name="tags",
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dependencies=[],
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source_file_regexes=[
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"common/tags/",
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]
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)
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kvstore = Module(
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name="kvstore",
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dependencies=[tags],
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source_file_regexes=[
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"common/kvstore/",
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],
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sbt_test_goals=[
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"kvstore/test",
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],
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)
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network_common = Module(
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name="network-common",
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dependencies=[tags],
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source_file_regexes=[
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"common/network-common/",
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],
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sbt_test_goals=[
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"network-common/test",
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],
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)
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network_shuffle = Module(
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name="network-shuffle",
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dependencies=[tags],
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source_file_regexes=[
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"common/network-shuffle/",
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],
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sbt_test_goals=[
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"network-shuffle/test",
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],
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)
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unsafe = Module(
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name="unsafe",
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dependencies=[tags],
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source_file_regexes=[
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"common/unsafe",
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],
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sbt_test_goals=[
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"unsafe/test",
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],
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)
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launcher = Module(
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name="launcher",
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dependencies=[tags],
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source_file_regexes=[
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"launcher/",
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],
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sbt_test_goals=[
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"launcher/test",
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],
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)
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core = Module(
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name="core",
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dependencies=[kvstore, network_common, network_shuffle, unsafe, launcher],
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source_file_regexes=[
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"core/",
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],
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sbt_test_goals=[
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"core/test",
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],
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)
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catalyst = Module(
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name="catalyst",
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dependencies=[tags, core],
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source_file_regexes=[
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"sql/catalyst/",
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],
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sbt_test_goals=[
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"catalyst/test",
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],
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)
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sql = Module(
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name="sql",
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dependencies=[catalyst],
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source_file_regexes=[
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"sql/core/",
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],
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sbt_test_goals=[
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"sql/test",
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],
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)
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hive = Module(
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name="hive",
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dependencies=[sql],
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source_file_regexes=[
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"sql/hive/",
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"bin/spark-sql",
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],
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build_profile_flags=[
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"-Phive",
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],
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sbt_test_goals=[
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"hive/test",
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],
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test_tags=[
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"org.apache.spark.tags.ExtendedHiveTest"
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]
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)
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repl = Module(
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name="repl",
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dependencies=[hive],
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source_file_regexes=[
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"repl/",
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],
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sbt_test_goals=[
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"repl/test",
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],
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)
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hive_thriftserver = Module(
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name="hive-thriftserver",
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dependencies=[hive],
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source_file_regexes=[
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"sql/hive-thriftserver",
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"sbin/start-thriftserver.sh",
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],
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build_profile_flags=[
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"-Phive-thriftserver",
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],
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sbt_test_goals=[
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"hive-thriftserver/test",
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]
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)
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avro = Module(
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name="avro",
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dependencies=[sql],
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source_file_regexes=[
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"external/avro",
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],
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sbt_test_goals=[
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"avro/test",
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]
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)
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sql_kafka = Module(
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name="sql-kafka-0-10",
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dependencies=[sql],
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source_file_regexes=[
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"external/kafka-0-10-sql",
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],
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sbt_test_goals=[
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"sql-kafka-0-10/test",
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]
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)
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sketch = Module(
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name="sketch",
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dependencies=[tags],
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source_file_regexes=[
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"common/sketch/",
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],
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sbt_test_goals=[
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"sketch/test"
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]
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)
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graphx = Module(
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name="graphx",
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dependencies=[tags, core],
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source_file_regexes=[
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"graphx/",
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],
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sbt_test_goals=[
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"graphx/test"
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]
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)
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streaming = Module(
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name="streaming",
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dependencies=[tags, core],
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source_file_regexes=[
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"streaming",
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],
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sbt_test_goals=[
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"streaming/test",
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]
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)
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# Don't set the dependencies because changes in other modules should not trigger Kinesis tests.
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# Kinesis tests depends on external Amazon kinesis service. We should run these tests only when
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# files in streaming_kinesis_asl are changed, so that if Kinesis experiences an outage, we don't
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# fail other PRs.
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streaming_kinesis_asl = Module(
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name="streaming-kinesis-asl",
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dependencies=[tags, core],
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source_file_regexes=[
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"external/kinesis-asl/",
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"external/kinesis-asl-assembly/",
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],
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build_profile_flags=[
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"-Pkinesis-asl",
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],
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environ={
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"ENABLE_KINESIS_TESTS": "1"
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},
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sbt_test_goals=[
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"streaming-kinesis-asl/test",
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]
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)
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streaming_kafka_0_10 = Module(
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name="streaming-kafka-0-10",
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dependencies=[streaming, core],
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source_file_regexes=[
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# The ending "/" is necessary otherwise it will include "sql-kafka" codes
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"external/kafka-0-10/",
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"external/kafka-0-10-assembly",
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"external/kafka-0-10-token-provider",
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],
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sbt_test_goals=[
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"streaming-kafka-0-10/test",
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"token-provider-kafka-0-10/test"
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]
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)
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mllib_local = Module(
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name="mllib-local",
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dependencies=[tags, core],
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source_file_regexes=[
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"mllib-local",
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],
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sbt_test_goals=[
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"mllib-local/test",
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]
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)
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mllib = Module(
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name="mllib",
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dependencies=[mllib_local, streaming, sql],
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source_file_regexes=[
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"data/mllib/",
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"mllib/",
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],
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sbt_test_goals=[
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"mllib/test",
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]
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)
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examples = Module(
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name="examples",
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dependencies=[graphx, mllib, streaming, hive],
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source_file_regexes=[
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"examples/",
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],
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sbt_test_goals=[
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"examples/test",
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]
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)
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pyspark_core = Module(
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name="pyspark-core",
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dependencies=[core],
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source_file_regexes=[
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"python/(?!pyspark/(ml|mllib|sql|streaming))"
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],
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python_test_goals=[
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# doctests
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"pyspark.rdd",
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"pyspark.context",
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"pyspark.conf",
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"pyspark.broadcast",
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"pyspark.accumulators",
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"pyspark.serializers",
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"pyspark.profiler",
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"pyspark.shuffle",
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"pyspark.util",
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# unittests
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"pyspark.tests.test_appsubmit",
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"pyspark.tests.test_broadcast",
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"pyspark.tests.test_conf",
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"pyspark.tests.test_context",
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"pyspark.tests.test_daemon",
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"pyspark.tests.test_install_spark",
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"pyspark.tests.test_join",
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"pyspark.tests.test_profiler",
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"pyspark.tests.test_rdd",
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"pyspark.tests.test_rddbarrier",
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"pyspark.tests.test_readwrite",
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"pyspark.tests.test_serializers",
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"pyspark.tests.test_shuffle",
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"pyspark.tests.test_taskcontext",
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"pyspark.tests.test_util",
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"pyspark.tests.test_worker",
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]
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)
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pyspark_sql = Module(
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name="pyspark-sql",
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dependencies=[pyspark_core, hive, avro],
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source_file_regexes=[
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"python/pyspark/sql"
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],
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python_test_goals=[
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# doctests
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"pyspark.sql.types",
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"pyspark.sql.context",
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"pyspark.sql.session",
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"pyspark.sql.conf",
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"pyspark.sql.catalog",
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"pyspark.sql.column",
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"pyspark.sql.dataframe",
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"pyspark.sql.group",
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"pyspark.sql.functions",
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"pyspark.sql.readwriter",
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"pyspark.sql.streaming",
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"pyspark.sql.udf",
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"pyspark.sql.window",
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"pyspark.sql.avro.functions",
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"pyspark.sql.pandas.conversion",
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"pyspark.sql.pandas.map_ops",
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"pyspark.sql.pandas.group_ops",
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"pyspark.sql.pandas.types",
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"pyspark.sql.pandas.serializers",
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"pyspark.sql.pandas.typehints",
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"pyspark.sql.pandas.utils",
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# unittests
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"pyspark.sql.tests.test_arrow",
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"pyspark.sql.tests.test_catalog",
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"pyspark.sql.tests.test_column",
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"pyspark.sql.tests.test_conf",
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"pyspark.sql.tests.test_context",
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"pyspark.sql.tests.test_dataframe",
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"pyspark.sql.tests.test_datasources",
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"pyspark.sql.tests.test_functions",
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"pyspark.sql.tests.test_group",
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"pyspark.sql.tests.test_pandas_cogrouped_map",
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"pyspark.sql.tests.test_pandas_grouped_map",
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"pyspark.sql.tests.test_pandas_map",
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"pyspark.sql.tests.test_pandas_udf",
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"pyspark.sql.tests.test_pandas_udf_grouped_agg",
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"pyspark.sql.tests.test_pandas_udf_scalar",
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"pyspark.sql.tests.test_pandas_udf_typehints",
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"pyspark.sql.tests.test_pandas_udf_window",
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"pyspark.sql.tests.test_readwriter",
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"pyspark.sql.tests.test_serde",
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"pyspark.sql.tests.test_session",
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"pyspark.sql.tests.test_streaming",
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"pyspark.sql.tests.test_types",
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"pyspark.sql.tests.test_udf",
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"pyspark.sql.tests.test_utils",
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]
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)
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pyspark_resource = Module(
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name="pyspark-resource",
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dependencies=[
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pyspark_core
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],
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source_file_regexes=[
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"python/pyspark/resource"
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],
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python_test_goals=[
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# unittests
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"pyspark.resource.tests.test_resources",
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]
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)
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pyspark_streaming = Module(
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name="pyspark-streaming",
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dependencies=[
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pyspark_core,
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streaming,
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streaming_kinesis_asl
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],
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source_file_regexes=[
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"python/pyspark/streaming"
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],
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python_test_goals=[
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# doctests
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"pyspark.streaming.util",
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# unittests
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"pyspark.streaming.tests.test_context",
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"pyspark.streaming.tests.test_dstream",
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"pyspark.streaming.tests.test_kinesis",
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"pyspark.streaming.tests.test_listener",
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]
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)
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pyspark_mllib = Module(
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name="pyspark-mllib",
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dependencies=[pyspark_core, pyspark_streaming, pyspark_sql, mllib],
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source_file_regexes=[
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"python/pyspark/mllib"
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],
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python_test_goals=[
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# doctests
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"pyspark.mllib.classification",
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"pyspark.mllib.clustering",
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"pyspark.mllib.evaluation",
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"pyspark.mllib.feature",
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"pyspark.mllib.fpm",
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"pyspark.mllib.linalg.__init__",
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"pyspark.mllib.linalg.distributed",
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"pyspark.mllib.random",
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"pyspark.mllib.recommendation",
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"pyspark.mllib.regression",
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"pyspark.mllib.stat._statistics",
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"pyspark.mllib.stat.KernelDensity",
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"pyspark.mllib.tree",
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"pyspark.mllib.util",
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# unittests
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"pyspark.mllib.tests.test_algorithms",
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"pyspark.mllib.tests.test_feature",
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"pyspark.mllib.tests.test_linalg",
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"pyspark.mllib.tests.test_stat",
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"pyspark.mllib.tests.test_streaming_algorithms",
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"pyspark.mllib.tests.test_util",
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],
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excluded_python_implementations=[
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"PyPy" # Skip these tests under PyPy since they require numpy and it isn't available there
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]
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)
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pyspark_ml = Module(
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name="pyspark-ml",
|
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dependencies=[pyspark_core, pyspark_mllib],
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source_file_regexes=[
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"python/pyspark/ml/"
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],
|
|
python_test_goals=[
|
|
# doctests
|
|
"pyspark.ml.classification",
|
|
"pyspark.ml.clustering",
|
|
"pyspark.ml.evaluation",
|
|
"pyspark.ml.feature",
|
|
"pyspark.ml.fpm",
|
|
"pyspark.ml.functions",
|
|
"pyspark.ml.image",
|
|
"pyspark.ml.linalg.__init__",
|
|
"pyspark.ml.recommendation",
|
|
"pyspark.ml.regression",
|
|
"pyspark.ml.stat",
|
|
"pyspark.ml.tuning",
|
|
# unittests
|
|
"pyspark.ml.tests.test_algorithms",
|
|
"pyspark.ml.tests.test_base",
|
|
"pyspark.ml.tests.test_evaluation",
|
|
"pyspark.ml.tests.test_feature",
|
|
"pyspark.ml.tests.test_image",
|
|
"pyspark.ml.tests.test_linalg",
|
|
"pyspark.ml.tests.test_param",
|
|
"pyspark.ml.tests.test_persistence",
|
|
"pyspark.ml.tests.test_pipeline",
|
|
"pyspark.ml.tests.test_stat",
|
|
"pyspark.ml.tests.test_training_summary",
|
|
"pyspark.ml.tests.test_tuning",
|
|
"pyspark.ml.tests.test_util",
|
|
"pyspark.ml.tests.test_wrapper",
|
|
],
|
|
excluded_python_implementations=[
|
|
"PyPy" # Skip these tests under PyPy since they require numpy and it isn't available there
|
|
]
|
|
)
|
|
|
|
pyspark_pandas = Module(
|
|
name="pyspark-pandas",
|
|
dependencies=[pyspark_core, pyspark_sql],
|
|
source_file_regexes=[
|
|
"python/pyspark/pandas/"
|
|
],
|
|
python_test_goals=[
|
|
# doctests
|
|
"pyspark.pandas.accessors",
|
|
"pyspark.pandas.base",
|
|
"pyspark.pandas.categorical",
|
|
"pyspark.pandas.config",
|
|
"pyspark.pandas.datetimes",
|
|
"pyspark.pandas.exceptions",
|
|
"pyspark.pandas.extensions",
|
|
"pyspark.pandas.frame",
|
|
"pyspark.pandas.generic",
|
|
"pyspark.pandas.groupby",
|
|
"pyspark.pandas.indexing",
|
|
"pyspark.pandas.internal",
|
|
"pyspark.pandas.ml",
|
|
"pyspark.pandas.mlflow",
|
|
"pyspark.pandas.namespace",
|
|
"pyspark.pandas.numpy_compat",
|
|
"pyspark.pandas.series",
|
|
"pyspark.pandas.sql_processor",
|
|
"pyspark.pandas.strings",
|
|
"pyspark.pandas.utils",
|
|
"pyspark.pandas.window",
|
|
"pyspark.pandas.indexes.base",
|
|
"pyspark.pandas.indexes.category",
|
|
"pyspark.pandas.indexes.datetimes",
|
|
"pyspark.pandas.indexes.multi",
|
|
"pyspark.pandas.indexes.numeric",
|
|
"pyspark.pandas.spark.accessors",
|
|
"pyspark.pandas.spark.utils",
|
|
"pyspark.pandas.typedef.typehints",
|
|
# unittests
|
|
"pyspark.pandas.tests.indexes.test_base",
|
|
"pyspark.pandas.tests.indexes.test_category",
|
|
"pyspark.pandas.tests.indexes.test_datetime",
|
|
"pyspark.pandas.tests.plot.test_frame_plot",
|
|
"pyspark.pandas.tests.plot.test_frame_plot_matplotlib",
|
|
"pyspark.pandas.tests.plot.test_frame_plot_plotly",
|
|
"pyspark.pandas.tests.plot.test_series_plot",
|
|
"pyspark.pandas.tests.plot.test_series_plot_matplotlib",
|
|
"pyspark.pandas.tests.plot.test_series_plot_plotly",
|
|
"pyspark.pandas.tests.test_categorical",
|
|
"pyspark.pandas.tests.test_config",
|
|
"pyspark.pandas.tests.test_csv",
|
|
"pyspark.pandas.tests.test_dataframe",
|
|
"pyspark.pandas.tests.test_dataframe_conversion",
|
|
"pyspark.pandas.tests.test_dataframe_spark_io",
|
|
"pyspark.pandas.tests.test_default_index",
|
|
"pyspark.pandas.tests.test_expanding",
|
|
"pyspark.pandas.tests.test_extension",
|
|
"pyspark.pandas.tests.test_frame_spark",
|
|
"pyspark.pandas.tests.test_groupby",
|
|
"pyspark.pandas.tests.test_indexing",
|
|
"pyspark.pandas.tests.test_indexops_spark",
|
|
"pyspark.pandas.tests.test_internal",
|
|
"pyspark.pandas.tests.test_namespace",
|
|
"pyspark.pandas.tests.test_numpy_compat",
|
|
"pyspark.pandas.tests.test_ops_on_diff_frames",
|
|
"pyspark.pandas.tests.test_ops_on_diff_frames_groupby",
|
|
"pyspark.pandas.tests.test_ops_on_diff_frames_groupby_expanding",
|
|
"pyspark.pandas.tests.test_ops_on_diff_frames_groupby_rolling",
|
|
"pyspark.pandas.tests.test_repr",
|
|
"pyspark.pandas.tests.test_reshape",
|
|
"pyspark.pandas.tests.test_rolling",
|
|
"pyspark.pandas.tests.test_series",
|
|
"pyspark.pandas.tests.test_series_conversion",
|
|
"pyspark.pandas.tests.test_series_datetime",
|
|
"pyspark.pandas.tests.test_series_string",
|
|
"pyspark.pandas.tests.test_sql",
|
|
"pyspark.pandas.tests.test_stats",
|
|
"pyspark.pandas.tests.test_typedef",
|
|
"pyspark.pandas.tests.test_utils",
|
|
"pyspark.pandas.tests.test_window",
|
|
],
|
|
excluded_python_implementations=[
|
|
"PyPy" # Skip these tests under PyPy since they require numpy, pandas, and pyarrow and
|
|
# they aren't available there
|
|
]
|
|
)
|
|
|
|
sparkr = Module(
|
|
name="sparkr",
|
|
dependencies=[hive, mllib],
|
|
source_file_regexes=[
|
|
"R/",
|
|
],
|
|
should_run_r_tests=True
|
|
)
|
|
|
|
|
|
docs = Module(
|
|
name="docs",
|
|
dependencies=[],
|
|
source_file_regexes=[
|
|
"docs/",
|
|
]
|
|
)
|
|
|
|
build = Module(
|
|
name="build",
|
|
dependencies=[],
|
|
source_file_regexes=[
|
|
".*pom.xml",
|
|
"dev/test-dependencies.sh",
|
|
],
|
|
should_run_build_tests=True
|
|
)
|
|
|
|
yarn = Module(
|
|
name="yarn",
|
|
dependencies=[],
|
|
source_file_regexes=[
|
|
"resource-managers/yarn/",
|
|
"common/network-yarn/",
|
|
],
|
|
build_profile_flags=["-Pyarn"],
|
|
sbt_test_goals=[
|
|
"yarn/test",
|
|
"network-yarn/test",
|
|
],
|
|
test_tags=[
|
|
"org.apache.spark.tags.ExtendedYarnTest"
|
|
]
|
|
)
|
|
|
|
mesos = Module(
|
|
name="mesos",
|
|
dependencies=[],
|
|
source_file_regexes=["resource-managers/mesos/"],
|
|
build_profile_flags=["-Pmesos"],
|
|
sbt_test_goals=["mesos/test"]
|
|
)
|
|
|
|
kubernetes = Module(
|
|
name="kubernetes",
|
|
dependencies=[],
|
|
source_file_regexes=["resource-managers/kubernetes"],
|
|
build_profile_flags=["-Pkubernetes"],
|
|
sbt_test_goals=["kubernetes/test"]
|
|
)
|
|
|
|
hadoop_cloud = Module(
|
|
name="hadoop-cloud",
|
|
dependencies=[],
|
|
source_file_regexes=["hadoop-cloud"],
|
|
build_profile_flags=["-Phadoop-cloud"],
|
|
sbt_test_goals=["hadoop-cloud/test"]
|
|
)
|
|
|
|
spark_ganglia_lgpl = Module(
|
|
name="spark-ganglia-lgpl",
|
|
dependencies=[],
|
|
build_profile_flags=["-Pspark-ganglia-lgpl"],
|
|
source_file_regexes=[
|
|
"external/spark-ganglia-lgpl",
|
|
]
|
|
)
|
|
|
|
# The root module is a dummy module which is used to run all of the tests.
|
|
# No other modules should directly depend on this module.
|
|
root = Module(
|
|
name="root",
|
|
dependencies=[build, core], # Changes to build should trigger all tests.
|
|
source_file_regexes=[],
|
|
# In order to run all of the tests, enable every test profile:
|
|
build_profile_flags=list(set(
|
|
itertools.chain.from_iterable(m.build_profile_flags for m in all_modules))),
|
|
sbt_test_goals=[
|
|
"test",
|
|
],
|
|
python_test_goals=list(itertools.chain.from_iterable(m.python_test_goals for m in all_modules)),
|
|
should_run_r_tests=True,
|
|
should_run_build_tests=True
|
|
)
|