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https://issues.apache.org/jira/browse/BEAM-7362?focusedWorklogId=246027&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-246027
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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_r286000895
##########
File path: sdks/python/apache_beam/io/gcp/tests/bigquery_io_read_pipeline.py
##########
@@ -0,0 +1,112 @@
+#
+# 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.
+
+Pipeline options are described in the ParDoTest file. A job can be configured
to
+simulate slow reading for a given number of rows by providing additional
+'num_slow' option.
+"""
+
+from __future__ import absolute_import
+
+import logging
+import unittest
+import base64
+import random
+import time
+
+
+from apache_beam import Map, ParDo, DoFn
+from apache_beam.io import Read, WriteToBigQuery, BigQueryDisposition, \
+ BigQuerySource
+from apache_beam.io.gcp.bigquery_tools import parse_table_schema_from_json, \
+ BigQueryWrapper, parse_table_reference, HttpError
+from apache_beam.testing.synthetic_pipeline import SyntheticSource
+from apache_beam.testing.load_tests.load_test import LoadTest
+from apache_beam.testing.util import assert_that, equal_to
+from apache_beam.testing.test_pipeline import TestPipeline
+from apache_beam.transforms.combiners import Count
+
+
+class BigQueryIOReadTest(LoadTest):
+ def setUp(self):
+ LoadTest.setUp(self)
+ self.num_slow = self.pipeline.get_option('num_slow') or 0
+ self._check_for_input_data()
+
+ def _check_for_input_data(self):
+ """Checks if a BQ table with input data exists and creates it if not."""
+ wrapper = BigQueryWrapper()
+ project_id = self.pipeline.get_option('project')
+ table_ref = parse_table_reference(self.pipeline.get_option('output'),
+ project=project_id)
+ try:
+ wrapper.get_table(project_id, table_ref.datasetId, table_ref.tableId)
+ except HttpError:
+ self._create_input_data()
+
+ def _create_input_data(self):
+ """
+ Runs an additional pipeline which creates test data and waits for its
+ completion.
+ """
+ SCHEMA = parse_table_schema_from_json(
+ '{"fields": [{"name": "data", "type": "BYTES"}]}')
+
+ def format_record(record):
+ return {'data': base64.b64encode(record[1])}
+
+ setup_pipeline = TestPipeline()
+ # pylint: disable=expression-not-assigned
+ (setup_pipeline
+ | 'ProduceRows' >> Read(SyntheticSource(self.parseTestPipelineOptions()))
+ | 'Format' >> Map(format_record)
+ | 'WriteToBigQuery' >> WriteToBigQuery(
+ self.pipeline.get_option('output'),
+ schema=SCHEMA,
+ create_disposition=BigQueryDisposition.CREATE_IF_NEEDED,
+ write_disposition=BigQueryDisposition.WRITE_EMPTY))
+ setup_pipeline.run().wait_until_finish()
+
+ class RowToStringWithSlowDown(DoFn):
+ def process(self, element, num_slow=0, *args, **kwargs):
+ if num_slow == 0:
+ yield ['row']
+ else:
+ rand = random.random() * 100
+ if rand < num_slow:
+ time.sleep(0.01)
+ yield ['slow_row']
+ else:
+ yield ['row']
+
+ def test(self):
+ pc = (self.pipeline
+ | 'ReadFromBigQuery' >> Read(BigQuerySource(
+ self.pipeline.get_option('output')))
Review comment:
Why this is reading from `output`? Maybe it would be useful to add here
additional pipeline options.
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Issue Time Tracking
-------------------
Worklog Id: (was: 246027)
Time Spent: 1.5h (was: 1h 20m)
> 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: 1.5h
> 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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