Files
impala/tests/query_test/test_insert.py
Victor Bittorf f2ef06bef1 SEQUENCEFILE: Add support for writing sequence files.
This supports both uncompressed and block compressed formats. Row compressed formats are
not supported. The type of compression is specified using a query parameter
COMPRESSION_CODEC with values NONE, GZIP, BZIP2, and SNAPPY.

Note: this patch only has basic testing. More extensive testing will be done when this
avro writer is used in data loading.

Change-Id: Id284bd4f3a28e27e49d56b1127cdc83c736feb61
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/3541
Reviewed-by: Victor Bittorf <victor.bittorf@cloudera.com>
Tested-by: jenkins
2014-08-17 12:45:10 -07:00

210 lines
9.0 KiB
Python
Executable File

#!/usr/bin/env python
# Copyright (c) 2012 Cloudera, Inc. All rights reserved.
# Targeted Impala insert tests
#
import logging
import pytest
from testdata.common import widetable
from tests.beeswax.impala_beeswax import ImpalaBeeswaxException
from tests.common.test_vector import *
from tests.common.impala_test_suite import *
from tests.common.test_dimensions import create_exec_option_dimension
# TODO: Add Gzip back. IMPALA-424
PARQUET_CODECS = ['none', 'snappy']
class TestInsertQueries(ImpalaTestSuite):
@classmethod
def get_workload(self):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestInsertQueries, cls).add_test_dimensions()
# Fix the exec_option vector to have a single value. This is needed should we decide
# to run the insert tests in parallel (otherwise there will be two tests inserting
# into the same table at the same time for the same file format).
# TODO: When we do decide to run these tests in parallel we could create unique temp
# tables for each test case to resolve the concurrency problems.
if cls.exploration_strategy() == 'core':
cls.TestMatrix.add_dimension(create_exec_option_dimension(
cluster_sizes=[0], disable_codegen_options=[False], batch_sizes=[0],
sync_ddl=[0]))
cls.TestMatrix.add_dimension(create_uncompressed_text_dimension(cls.get_workload()))
else:
cls.TestMatrix.add_dimension(create_exec_option_dimension(
cluster_sizes=[0], disable_codegen_options=[False], batch_sizes=[0],
sync_ddl=[0, 1]))
cls.TestMatrix.add_dimension(TestDimension("compression_codec", *PARQUET_CODECS));
# Insert is currently only supported for text and parquet
# For parquet, we want to iterate through all the compression codecs
# TODO: each column in parquet can have a different codec. We could
# test all the codecs in one table/file with some additional flags.
cls.TestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format == 'parquet' or \
(v.get_value('table_format').file_format == 'text' and \
v.get_value('compression_codec') == 'none'))
cls.TestMatrix.add_constraint(lambda v:\
v.get_value('table_format').compression_codec == 'none')
@classmethod
def setup_class(cls):
super(TestInsertQueries, cls).setup_class()
@pytest.mark.execute_serially
def test_insert(self, vector):
if (vector.get_value('table_format').file_format == 'parquet'):
vector.get_value('exec_option')['COMPRESSION_CODEC'] = \
vector.get_value('compression_codec')
self.run_test_case('QueryTest/insert', vector,
multiple_impalad=vector.get_value('exec_option')['sync_ddl'] == 1)
@pytest.mark.execute_serially
def test_insert_overwrite(self, vector):
self.run_test_case('QueryTest/insert_overwrite', vector,
multiple_impalad=vector.get_value('exec_option')['sync_ddl'] == 1)
class TestInsertWideTable(ImpalaTestSuite):
@classmethod
def get_workload(self):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestInsertWideTable, cls).add_test_dimensions()
# Only vary codegen
cls.TestMatrix.add_dimension(create_exec_option_dimension(
cluster_sizes=[0], disable_codegen_options=[True, False], batch_sizes=[0]))
# Inserts only supported on text and parquet
# TODO: Enable 'text'/codec once the compressed text writers are in.
cls.TestMatrix.add_constraint(lambda v:\
v.get_value('table_format').file_format == 'parquet' or \
v.get_value('table_format').file_format == 'text')
cls.TestMatrix.add_constraint(lambda v:\
v.get_value('table_format').compression_codec == 'none')
# Don't run on core. This test is very slow (IMPALA-864) and we are unlikely to
# regress here.
if cls.exploration_strategy() == 'core':
cls.TestMatrix.add_constraint(lambda v: False);
def test_insert_wide_table(self, vector):
table_format = vector.get_value('table_format')
# Text can't handle as many columns as Parquet (codegen takes forever)
num_cols = 1000 if table_format.file_format == 'text' else 2000
db_name = QueryTestSectionReader.get_db_name(vector.get_value('table_format'))
table_name = db_name + ".insert_widetable"
if vector.get_value('exec_option')['disable_codegen']:
table_name += "_codegen_disabled"
self.client.execute("drop table if exists " + table_name)
col_descs = widetable.get_columns(num_cols)
create_stmt = "CREATE TABLE " + table_name + "(" + ','.join(col_descs) + ")"
if vector.get_value('table_format').file_format == 'parquet':
create_stmt += " stored as parquet"
self.client.execute(create_stmt)
# Get a single row of data
col_vals = widetable.get_data(num_cols, 1, quote_strings=True)[0]
insert_stmt = "INSERT INTO " + table_name + " VALUES(" + col_vals + ")"
self.client.execute(insert_stmt)
result = self.client.execute("select count(*) from " + table_name)
assert result.data == ["1"]
result = self.client.execute("select * from " + table_name)
types = parse_column_types(result.schema)
labels = parse_column_labels(result.schema)
expected = QueryTestResult([col_vals], types, labels, order_matters=False)
actual = QueryTestResult(parse_result_rows(result), types, labels, order_matters=False)
assert expected == actual
class TestUnsupportedInsertFormats(ImpalaTestSuite):
@classmethod
def get_workload(self):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestUnsupportedInsertFormats, cls).add_test_dimensions()
# Only run on file formats we can't write to
# TODO: Remove the 'text'/codec combination once the compressed text writers are in.
cls.TestMatrix.add_constraint(lambda v: \
not (v.get_value('table_format').file_format == 'parquet' or
v.get_value('table_format').file_format == 'hbase' or
(v.get_value('table_format').file_format == 'text' and
v.get_value('table_format').compression_codec == 'none')))
def test_unsupported_formats(self, vector):
try:
# TODO: Once the compressed text writers are in, the text/codec combinations won't
# be unsupported anymore.
if (vector.get_value('table_format').file_format == 'text' and
vector.get_value('table_format').compression_codec != 'none'):
pytest.skip("Until compressed text writers are implemented, inserting to text "
"will ignore compression type and succeed by inserting "
"uncompressed text.")
self.execute_query_using_client(
self.client, 'insert into table tinytable values("hi", "there")', vector)
assert False, 'Query was expected to fail'
except ImpalaBeeswaxException, e: pass
class TestInsertPartKey(ImpalaTestSuite):
"""Regression test for IMPALA-875"""
@classmethod
def get_workload(self):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestInsertPartKey, cls).add_test_dimensions()
# Only run for a single table type
cls.TestMatrix.add_dimension(create_exec_option_dimension(
cluster_sizes=[0], disable_codegen_options=[False], batch_sizes=[0],
sync_ddl=[1]))
cls.TestMatrix.add_constraint(lambda v:
(v.get_value('table_format').file_format == 'text'))
cls.TestMatrix.add_constraint(lambda v:\
v.get_value('table_format').compression_codec == 'none')
@pytest.mark.execute_serially
def test_insert_part_key(self, vector):
"""Test that partition column exprs are cast to the correct type. See IMPALA-875."""
self.run_test_case('QueryTest/insert_part_key', vector,
multiple_impalad=vector.get_value('exec_option')['sync_ddl'] == 1)
class TestInsertNullQueries(ImpalaTestSuite):
@classmethod
def get_workload(self):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestInsertNullQueries, cls).add_test_dimensions()
# Fix the exec_option vector to have a single value. This is needed should we decide
# to run the insert tests in parallel (otherwise there will be two tests inserting
# into the same table at the same time for the same file format).
# TODO: When we do decide to run these tests in parallel we could create unique temp
# tables for each test case to resolve the concurrency problems.
cls.TestMatrix.add_dimension(create_exec_option_dimension(
cluster_sizes=[0], disable_codegen_options=[False], batch_sizes=[0]))
# These tests only make sense for inserting into a text table with special
# logic to handle all the possible ways NULL needs to be written as ascii
cls.TestMatrix.add_constraint(lambda v:\
(v.get_value('table_format').file_format == 'text' and \
v.get_value('table_format').compression_codec == 'none'))
@classmethod
def setup_class(cls):
super(TestInsertNullQueries, cls).setup_class()
@pytest.mark.execute_serially
def test_insert_null(self, vector):
self.run_test_case('QueryTest/insert_null', vector)