tests/query_test/test_limit_pushdown_analytic.py

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# Test the limit pushdown to analytic sort in the presence
# of ranking functions

from __future__ import absolute_import, division, print_function
from tests.common.impala_test_suite import ImpalaTestSuite
from tests.common.test_dimensions import create_exec_option_dimension


class TestLimitPushdownAnalyticTpch(ImpalaTestSuite):

  @classmethod
  def get_workload(cls):
    return 'tpch'

  @classmethod
  def add_test_dimensions(cls):
    super(TestLimitPushdownAnalyticTpch, cls).add_test_dimensions()
    cls.ImpalaTestMatrix.add_constraint(lambda v:
        v.get_value('table_format').file_format in ['parquet'])

  def test_limit_pushdown_analytic(self, vector):
    self.run_test_case('limit-pushdown-analytic', vector)


class TestLimitPushdownAnalyticFunctional(ImpalaTestSuite):
  @classmethod
  def add_test_dimensions(cls):
    super(TestLimitPushdownAnalyticFunctional, cls).add_test_dimensions()
    # Also run with num_nodes=1 because it's easier to reproduce IMPALA-10296.
    cls.ImpalaTestMatrix.add_dimension(create_exec_option_dimension(
      cluster_sizes=[0, 1],
      disable_codegen_options=[False],
      disable_codegen_rows_threshold_options=[5000],
      batch_sizes=[0]))
    cls.ImpalaTestMatrix.add_constraint(lambda v:
        v.get_value('table_format').file_format in ['parquet'])

  def test_limit_pushdown_analytic(self, vector):
    self.run_test_case('limit-pushdown-analytic', vector)