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Local catalog mode has been the default and works well in downstream Impala for over 5 years. This patch turn on local catalog mode by default (--catalog_topic_mode=minimal and --use_local_catalog=true) as preferred mode going forward. Implemented LocalCatalog.setIsReady() to facilitate using local catalog mode for FE tests. Some FE tests fail due to behavior differences in local catalog mode like IMPALA-7539. This is probably OK since Impala now largely hand over FileSystem permission check to Apache Ranger. The following custom cluster tests are pinned to evaluate under legacy catalog mode because their behavior changed in local catalog mode: TestCalcitePlanner.test_calcite_frontend TestCoordinators.test_executor_only_lib_cache TestMetadataReplicas TestTupleCacheCluster TestWorkloadManagementSQLDetailsCalcite.test_tpcds_8_decimal At TestHBaseHmsColumnOrder.test_hbase_hms_column_order, set --use_hms_column_order_for_hbase_tables=true flag for both impalad and catalogd to get consistent column order in either local or legacy catalog mode. Changed TestCatalogRpcErrors.test_register_subscriber_rpc_error assertions to be more fine grained by matching individual query id. Move most of test methods from TestRangerLegacyCatalog to TestRangerLocalCatalog, except for some that do need to run in legacy catalog mode. Also renamed TestRangerLocalCatalog to TestRangerDefaultCatalog. Table ownership issue in local catalog mode remains unresolved (see IMPALA-8937). Testing: Pass exhaustive tests. Change-Id: Ie303e294972d12b98f8354bf6bbc6d0cb920060f Reviewed-on: http://gerrit.cloudera.org:8080/23080 Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
357 lines
16 KiB
Python
357 lines
16 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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# The base class that should be used for almost all Impala tests
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from __future__ import absolute_import, division, print_function
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import logging
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import pytest
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import os
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import time
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from subprocess import check_call
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from tests.util.filesystem_utils import get_fs_path
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from tests.common.custom_cluster_test_suite import CustomClusterTestSuite
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from tests.common.skip import SkipIf, SkipIfFS
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from tests.common.test_result_verifier import error_msg_startswith
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LOG = logging.getLogger('test_coordinators')
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LOG.setLevel(level=logging.DEBUG)
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class TestCoordinators(CustomClusterTestSuite):
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@pytest.mark.execute_serially
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def test_multiple_coordinators(self):
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"""Test a cluster configuration in which not all impalad nodes are coordinators.
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Verify that only coordinators can accept client connections and that select and DDL
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queries run successfully."""
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db_name = "TEST_MUL_COORD_DB"
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self._start_impala_cluster([], num_coordinators=2, cluster_size=3)
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assert len(self.cluster.impalads) == 3
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coordinator1 = self.cluster.impalads[0]
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coordinator2 = self.cluster.impalads[1]
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worker = self.cluster.impalads[2]
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# Verify that Beeswax and HS2 client connections can't be established at a worker node
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beeswax_client = None
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try:
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beeswax_client = worker.service.create_beeswax_client()
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except Exception as e:
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LOG.info("Caught exception {0}".format(e))
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finally:
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assert beeswax_client is None
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hs2_client = None
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try:
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hs2_client = worker.service.create_hs2_client()
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except Exception as e:
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LOG.info("Caught exception {0}".format(e))
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finally:
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assert hs2_client is None
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# Verify that queries can successfully run on coordinator nodes
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try:
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client1 = coordinator1.service.create_hs2_client()
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client2 = coordinator2.service.create_hs2_client()
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# select queries
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self.execute_query_expect_success(client1, "select 1")
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self.execute_query_expect_success(client2, "select * from functional.alltypes");
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# DDL queries w/o SYNC_DDL
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self.execute_query_expect_success(client1, "refresh functional.alltypes")
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query_options = {"sync_ddl" : 1}
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self.execute_query_expect_success(client2, "refresh functional.alltypesagg",
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query_options)
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self.execute_query_expect_success(client1,
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"create database if not exists %s" % db_name, query_options)
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# Create a table using one coordinator
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self.execute_query_expect_success(client1,
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"create table %s.foo1 (col int)" % db_name, query_options)
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# Drop the table using the other coordinator
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self.execute_query_expect_success(client2, "drop table %s.foo1" % db_name,
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query_options)
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# Swap roles and repeat
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self.execute_query_expect_success(client2,
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"create table %s.foo2 (col int)" % db_name, query_options)
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self.execute_query_expect_success(client1, "drop table %s.foo2" % db_name,
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query_options)
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self.execute_query_expect_success(client1, "drop database %s cascade" % db_name)
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finally:
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# Ensure the worker hasn't received any table metadata
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num_tbls = worker.service.get_metric_value('catalog.num-tables')
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assert num_tbls == 0
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client1.close()
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client2.close()
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@pytest.mark.execute_serially
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def test_single_coordinator_cluster_config(self):
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"""Test a cluster configuration with a single coordinator."""
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def exec_and_verify_num_executors(expected_num_of_executors):
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"""Connects to the coordinator node, runs a query and verifies that certain
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operators are executed on 'expected_num_of_executors' nodes."""
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coordinator = self.cluster.impalads[0]
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client = None
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try:
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client = coordinator.service.create_hs2_client()
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assert client is not None
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query = "select count(*) from functional.alltypesagg"
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result = client.execute(query, fetch_exec_summary=True)
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assert result.success
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# Verify that SCAN and AGG are executed on the expected number of
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# executor nodes
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for rows in result.exec_summary:
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if rows['operator'] == 'OO:SCAN HDFS':
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assert rows['num_hosts'] == expected_num_of_executors
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elif rows['operator'] == '01:AGGREGATE':
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assert rows['num_hosts'] == expected_num_of_executors
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finally:
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assert client is not None
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client.close()
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# Cluster config where the coordinator can execute query fragments
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self._start_impala_cluster([], cluster_size=3, num_coordinators=1,
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use_exclusive_coordinators=False)
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exec_and_verify_num_executors(3)
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# Stop the cluster
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self._stop_impala_cluster()
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# Cluster config where the coordinator can only execute coordinator fragments
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self._start_impala_cluster([], cluster_size=3, num_coordinators=1,
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use_exclusive_coordinators=True)
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exec_and_verify_num_executors(2)
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@pytest.mark.execute_serially
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def test_executor_only_lib_cache(self):
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"""IMPALA-6670: checks that the lib-cache gets refreshed on executor-only nodes"""
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self._start_impala_cluster(
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["--impalad_args=--use_local_catalog=false",
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"--catalogd_args=--catalog_topic_mode=full"],
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cluster_size=3, num_coordinators=1, use_exclusive_coordinators=True)
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db_name = 'TEST_EXEC_ONLY_CACHE'
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# jar src/tgt paths
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old_src_path = os.path.join(
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os.environ['IMPALA_HOME'], 'testdata/udfs/impala-hive-udfs.jar')
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new_src_path = os.path.join(
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os.environ['IMPALA_HOME'], 'testdata/udfs/impala-hive-udfs-modified.jar')
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tgt_dir = get_fs_path('/test-warehouse/{0}.db'.format(db_name))
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tgt_path = tgt_dir + "/tmp.jar"
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# copy jar with TestUpdateUdf (old) to tmp.jar
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check_call(["hadoop", "fs", "-mkdir", "-p", tgt_dir])
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self.filesystem_client.copy_from_local(old_src_path, tgt_path)
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coordinator = self.cluster.impalads[0]
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try:
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client = coordinator.service.create_hs2_client()
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# create the database
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self.execute_query_expect_success(client,
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"create database if not exists %s" % db_name)
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# create a function for TestUpdateUdf (old)
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create_old_fn = (
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"create function `{0}`.`old_fn`(string) returns string LOCATION '{1}' "
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"SYMBOL='org.apache.impala.TestUpdateUdf'".format(db_name, tgt_path))
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self.execute_query_expect_success(client, create_old_fn);
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# run the query for TestUpdateUdf (old) and expect it to work
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old_query = (
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"select count(*) from functional.alltypes where "
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"`{0}`.old_fn(string_col) = 'Old UDF'".format(db_name));
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result = self.execute_query_expect_success(client, old_query)
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assert result.data == ['7300']
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# copy a new jar with TestUpdateUdf (new) and NewReplaceStringUdf to tmp.jar.
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self.filesystem_client.copy_from_local(new_src_path, tgt_path)
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# create a function for the updated TestUpdateUdf.
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create_new_fn = (
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"create function `{0}`.`new_fn`(string) returns string LOCATION '{1}' "
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"SYMBOL='org.apache.impala.TestUpdateUdf'".format(db_name, tgt_path))
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self.execute_query_expect_success(client, create_new_fn);
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# run the query for TestUdf (new) and expect the updated version to work.
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# the udf argument prevents constant expression optimizations, which can mask
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# incorrect lib-cache state/handling.
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# (bug behavior was to get the old version, so number of results would be = 0)
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# Note: if old_fn is run in the same way now, it will pick up the new
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# implementation. that is current system behavior, so expected.
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new_query = (
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"select count(*) from functional.alltypes where "
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"`{0}`.new_fn(string_col) = 'New UDF'".format(db_name));
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result = self.execute_query_expect_success(client, new_query)
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assert result.data == ['7300']
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# create a function for NewReplaceStringUdf which does not exist in the previous
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# version of the jar.
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create_add_fn = (
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"create function `{0}`.`add_fn`(string) returns string LOCATION '{1}' "
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"SYMBOL='org.apache.impala.NewReplaceStringUdf'".format(db_name, tgt_path))
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self.execute_query_expect_success(client, create_add_fn);
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# run the query for ReplaceString and expect the query to run.
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# (bug behavior is to not find the class)
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add_query = (
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"select count(*) from functional.alltypes where "
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"`{0}`.add_fn(string_col) = 'not here'".format(db_name));
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result = self.execute_query_expect_success(client, add_query)
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assert result.data == ['0']
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# Copy jar to a new path.
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tgt_path_2 = tgt_dir + "/tmp2.jar"
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self.filesystem_client.copy_from_local(old_src_path, tgt_path_2)
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# Add the function.
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create_mismatch_fn = (
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"create function `{0}`.`mismatch_fn`(string) returns string LOCATION '{1}' "
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"SYMBOL='org.apache.impala.TestUpdateUdf'".format(db_name, tgt_path_2))
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self.execute_query_expect_success(client, create_mismatch_fn);
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# Run a query that'll run on only one executor.
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small_query = (
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"select count(*) from functional.tinytable where "
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"`{0}`.mismatch_fn(a) = 'x'").format(db_name)
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self.execute_query_expect_success(client, small_query)
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# Overwrite the jar, giving it a new mtime. The sleep prevents the write to
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# happen too quickly so that its within mtime granularity (1 second).
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time.sleep(2)
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self.filesystem_client.copy_from_local(new_src_path, tgt_path_2)
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# Run the query. Expect the query fails due to mismatched libs at the
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# coordinator and one of the executors.
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# This failure does not happen in local catalog mode.
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mismatch_query = (
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"select count(*) from functional.alltypes where "
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"`{0}`.mismatch_fn(string_col) = 'Old UDF'".format(db_name));
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result = self.execute_query_expect_failure(client, mismatch_query)
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assert "does not match the expected last modified time" in str(result)
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# Refresh, as suggested by the error message.
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# IMPALA-6719: workaround lower-cases db_name.
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self.execute_query_expect_success(client, "refresh functions " + db_name.lower())
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# The coordinator should have picked up the new lib, so retry the query.
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self.execute_query_expect_success(client, mismatch_query)
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# cleanup
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finally:
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self.execute_query_expect_success(client,
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"drop database if exists %s cascade" % db_name)
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if client is not None:
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client.close()
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self._stop_impala_cluster()
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@pytest.mark.execute_serially
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def test_exclusive_coordinator_plan(self):
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"""Checks that a distributed plan does not assign scan fragments to a coordinator
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only node. """
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self._start_impala_cluster([], num_coordinators=1, cluster_size=3,
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use_exclusive_coordinators=True)
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assert len(self.cluster.impalads) == 3
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coordinator = self.cluster.impalads[0]
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client = None
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try:
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client = coordinator.service.create_hs2_client()
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assert client is not None
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client.execute("SET EXPLAIN_LEVEL=2")
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client.execute("SET TEST_REPLAN=0")
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# Ensure that the plan generated always uses only the executor nodes for scanning
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# Multi-partition table
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result = client.execute("explain select count(*) from functional.alltypes "
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"where id NOT IN (0,1,2) and string_col IN ('aaaa', 'bbbb', 'cccc', NULL) "
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"and mod(int_col,50) IN (0,1) and id IN (int_col);").data
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assert 'F00:PLAN FRAGMENT [RANDOM] hosts=2 instances=2' in result
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# Single partition table with 3 blocks
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result = client.execute("explain select * from tpch_parquet.lineitem "
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"union all select * from tpch_parquet.lineitem").data
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assert 'F02:PLAN FRAGMENT [RANDOM] hosts=2 instances=2' in result
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finally:
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assert client is not None
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client.close()
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self._stop_impala_cluster()
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@pytest.mark.execute_serially
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@CustomClusterTestSuite.with_args(cluster_size=3, num_exclusive_coordinators=1)
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def test_iceberg_metadata_scan_on_coord(self):
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""" Tests that Iceberg metadata scan fragments are scheduled on the coordinator. If
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such a fragment is scheduled on an executor, the below queries fail. Regression test
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for IMPALA-12809"""
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# A metadata table joined with itself.
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q1 = """select count(b.parent_id)
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from functional_parquet.iceberg_query_metadata.history a
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join functional_parquet.iceberg_query_metadata.history b
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on a.snapshot_id = b.snapshot_id"""
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self.execute_query_expect_success(self.client, q1)
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# A metadata table joined with a regular table.
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q2 = """select count(DISTINCT a.parent_id, a.is_current_ancestor)
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from functional_parquet.iceberg_query_metadata.history a
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join functional_parquet.alltypestiny c
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on a.is_current_ancestor = c.bool_col"""
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self.execute_query_expect_success(self.client, q2)
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@pytest.mark.execute_serially
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@CustomClusterTestSuite.with_args(impalad_args="--queue_wait_timeout_ms=2000",
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cluster_size=1, num_exclusive_coordinators=1)
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def test_dedicated_coordinator_without_executors(self):
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"""This test verifies that a query gets queued and times out when no executors are
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present but a coordinator only query gets executed."""
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# Pick a non-trivial query that needs to be scheduled on executors.
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query = "select count(*) from functional.alltypes where month + random() < 3"
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result = self.execute_query_expect_failure(self.client, query)
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expected_error = "Admission for query exceeded timeout 2000ms in pool " \
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"default-pool. Queued reason: Waiting for executors to start."
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assert error_msg_startswith(str(result), expected_error)
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# Now pick a coordinator only query.
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query = "select 1"
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self.execute_query_expect_success(self.client, query)
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@pytest.mark.execute_serially
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@CustomClusterTestSuite.with_args(cluster_size=1, num_exclusive_coordinators=1,
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impalad_args="-num_expected_executors=10")
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def test_num_expected_executors_flag(self):
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"""Verifies that the '-num_expected_executors' flag is effective."""
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client = self.cluster.impalads[0].service.create_hs2_client()
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client.set_configuration_option("explain_level", "2")
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ret = client.execute("explain select * from functional.alltypes a inner join "
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"functional.alltypes b on a.id = b.id;")
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num_hosts = "hosts=10 instances=10"
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assert num_hosts in str(ret.tuples())
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@SkipIfFS.hbase
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@SkipIf.skip_hbase
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@pytest.mark.execute_serially
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def test_executor_only_hbase(self):
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"""Verifies HBase tables can be scanned by executor only impalads."""
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self._start_impala_cluster([], cluster_size=3, num_coordinators=1,
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use_exclusive_coordinators=True)
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client = self.cluster.impalads[0].service.create_hs2_client()
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query = "select count(*) from functional_hbase.alltypes"
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result = self.execute_query_expect_success(client, query)
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assert result.data == ['7300']
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