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https://issues.apache.org/jira/browse/BEAM-7362?focusedWorklogId=246025&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-246025
]
ASF GitHub Bot logged work on BEAM-7362:
----------------------------------------
Author: ASF GitHub Bot
Created on: 21/May/19 13:07
Start Date: 21/May/19 13:07
Worklog Time Spent: 10m
Work Description: kkucharc commented on pull request #8626: [BEAM-7362]
BigQuery IO performance tests
URL: https://github.com/apache/beam/pull/8626#discussion_r285999949
##########
File path: sdks/python/apache_beam/io/gcp/bigquery_io_read_it_test.py
##########
@@ -1,63 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements. See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-
-"""A Dataflow job that counts the number of rows in a BQ table.
-
- Can be configured to simulate slow reading for a given number of rows.
-"""
-
-from __future__ import absolute_import
-
-import logging
-import unittest
-
-from hamcrest.core.core.allof import all_of
-from nose.plugins.attrib import attr
-
-from apache_beam.io.gcp import bigquery_io_read_pipeline
-from apache_beam.testing.pipeline_verifiers import PipelineStateMatcher
-from apache_beam.testing.test_pipeline import TestPipeline
-
-
-class BigqueryIOReadIT(unittest.TestCase):
-
- DEFAULT_DATASET = "big_query_import_export"
- DEFAULT_TABLE_PREFIX = "export_"
- NUM_RECORDS = {"empty": 0,
- "1M": 10592,
- "1G": 11110839,
- "1T": 11110839000,}
-
- def run_bigquery_io_read_pipeline(self, input_size):
- test_pipeline = TestPipeline(is_integration_test=True)
- pipeline_verifiers = [PipelineStateMatcher(),]
- extra_opts = {'input_table': self.DEFAULT_DATASET + "." +
- self.DEFAULT_TABLE_PREFIX + input_size,
- 'num_records': self.NUM_RECORDS[input_size],
- 'on_success_matcher': all_of(*pipeline_verifiers)}
- bigquery_io_read_pipeline.run(test_pipeline.get_full_options_as_args(
- **extra_opts))
-
- @attr('IT')
Review comment:
Hmmm... as I can see, did whole IT test just vanished?
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Issue Time Tracking
-------------------
Worklog Id: (was: 246025)
Time Spent: 1h 20m (was: 1h 10m)
> Add a performance test for BigQueryIO write
> -------------------------------------------
>
> Key: BEAM-7362
> URL: https://issues.apache.org/jira/browse/BEAM-7362
> Project: Beam
> Issue Type: Test
> Components: testing
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> There is already one test which covers BigQueryIO read in Python SDK, but
> there are no tests for BigQueryIO write.
> My plan is:
> 1) Use SyntheticSource to generate input data. Data size can be configure by
> command line arguments.
> 2) Write data to BQ dataset and measure throughput.
>
>
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