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import pytest
from tests.common.custom_cluster_test_suite import CustomClusterTestSuite
from tests.common.test_dimensions import (
create_exec_option_dimension,
create_single_exec_option_dimension,
create_uncompressed_text_dimension)
class TestStatsExtrapolation(CustomClusterTestSuite):
"""Minimal end-to-end test for the --enable_stats_extrapolation impalad flag. This test
primarly checks that the flag is propagated to the FE. More testing is done in FE unit
tests and metadata/test_stats_extrapolation.py."""
@classmethod
def get_workload(self):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestStatsExtrapolation, cls).add_test_dimensions()
cls.ImpalaTestMatrix.add_dimension(create_single_exec_option_dimension())
cls.ImpalaTestMatrix.add_dimension(
create_uncompressed_text_dimension(cls.get_workload()))
@pytest.mark.execute_serially
@CustomClusterTestSuite.with_args(impalad_args="--enable_stats_extrapolation=true")
def test_stats_extrapolation(self, vector, unique_database):
# Test row count extrapolation
self.client.execute("set explain_level=2")
explain_result = self.client.execute("explain select * from functional.alltypes")
assert "extrapolated-rows=7.30K" in " ".join(explain_result.data)
# Test COMPUTE STATS TABLESAMPLE
part_test_tbl = unique_database + ".alltypes"
self.clone_table("functional.alltypes", part_test_tbl, True, vector)
self.client.execute(
"compute stats {0} tablesample system (13)".format(part_test_tbl))
# Check that column stats were set.
col_stats = self.client.execute("show column stats {0}".format(part_test_tbl))
col_names = [fs.name.upper() for fs in col_stats.schema.fieldSchemas]
ndv_col_idx = col_names.index("#DISTINCT VALUES")
for row in col_stats.data:
assert int(row.split("\t")[ndv_col_idx]) >= 0