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https://issues.apache.org/jira/browse/BEAM-7402?focusedWorklogId=253037&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-253037
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ASF GitHub Bot logged work on BEAM-7402:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Jun/19 10:23
Start Date: 03/Jun/19 10:23
Worklog Time Spent: 10m
Work Description: kamilwu commented on pull request #8675: [BEAM-7402]
BigQuery IO read performance tests
URL: https://github.com/apache/beam/pull/8675#discussion_r289776058
##########
File path: sdks/python/apache_beam/io/gcp/bigquery_io_read_pipeline.py
##########
@@ -14,66 +14,135 @@
# 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.
+"""
+A pipeline that reads data from a BigQuery table and counts the number of
+rows.
+
+Besides of the standard options, there are options with special meaning:
+* input_dataset - BQ dataset id.
+* input_table - BQ table id.
+The table will be created and populated with data from Synthetic Source if it
+does not exist.
+* input_options - options for Synthetic Source:
+num_records - number of rows to be inserted,
+value_size - the length of a single row,
+key_size - required option, but its value has no meaning,
+* num_slow - an integer in range [0,100] used to customize slow reading
+simulation.
+
+Example test run on DataflowRunner:
+
+python setup.py nosetests \
+ --test-pipeline-options="
+ --runner=TestDataflowRunner
+ --project=...
+ --staging_location=gs://...
+ --temp_location=gs://...
+ --sdk_location=.../dist/apache-beam-x.x.x.dev0.tar.gz
+ --input_dataset=...
+ --input_table=...
+ --input_options='{
+ \"num_records\": 1024,
+ \"key_size\": 1,
+ \"value_size\": 1024,
+ }'" \
+ --tests apache_beam.io.gcp.tests.bigquery_io_read_pipeline
"""
from __future__ import absolute_import
-import argparse
+import base64
import logging
import random
import time
-
-import apache_beam as beam
-from apache_beam.options.pipeline_options import PipelineOptions
+import unittest
+
+from apache_beam import DoFn
+from apache_beam import Map
+from apache_beam import ParDo
+from apache_beam.io import BigQueryDisposition
+from apache_beam.io import BigQuerySource
+from apache_beam.io import Read
+from apache_beam.io import WriteToBigQuery
+from apache_beam.io.gcp.bigquery_tools import BigQueryWrapper
+from apache_beam.io.gcp.bigquery_tools import parse_table_schema_from_json
+from apache_beam.testing.load_tests.load_test import LoadTest
+from apache_beam.testing.synthetic_pipeline import SyntheticSource
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to
-
-
-class RowToStringWithSlowDown(beam.DoFn):
Review comment:
The pipeline itself is still a non-test one. Look at the`run_pipeline`
function. I decided that it could be used both by the existing
`_io_read_it_test.py` and my new performance test.
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Issue Time Tracking
-------------------
Worklog Id: (was: 253037)
Time Spent: 1h 20m (was: 1h 10m)
> Add a performance test for BigQueryIO read
> ------------------------------------------
>
> Key: BEAM-7402
> URL: https://issues.apache.org/jira/browse/BEAM-7402
> Project: Beam
> Issue Type: Test
> Components: testing
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> The task is to add a performance test for BigQuery IO read with configurable
> data size.
> The plan is:
> 1) Setup BQ table with input data if needed,
> 2) Read data from that table and do some final assertions
>
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