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https://issues.apache.org/jira/browse/BEAM-6683?focusedWorklogId=228673&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-228673
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ASF GitHub Bot logged work on BEAM-6683:
----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Apr/19 20:48
Start Date: 16/Apr/19 20:48
Worklog Time Spent: 10m
Work Description: chamikaramj commented on pull request #8174:
[BEAM-6683] add createCrossLanguageValidatesRunner task
URL: https://github.com/apache/beam/pull/8174#discussion_r275984883
##########
File path: sdks/python/apache_beam/runners/portability/stager.py
##########
@@ -308,6 +315,56 @@ def _download_file(from_url, to_path):
def _is_remote_path(path):
return path.find('://') != -1
+ def _stage_jar_packages(self, jar_packages, staging_location, temp_dir):
+ """Stages a list of local jar packages for Java SDK Harness.
+
+ :param jar_packages: Ordered list of local paths to jar packages to be
+ staged. Only packages on localfile system and GCS are supported.
+ :param staging_location: Staging location for the packages.
+ :param temp_dir: Temporary folder where the resource building can happen.
+ :return: A list of file names (no paths) for the resource staged. All the
+ files are assumed to be staged in staging_location.
Review comment:
Ditto.
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Issue Time Tracking
-------------------
Worklog Id: (was: 228673)
Time Spent: 3h 50m (was: 3h 40m)
> Add an integration test suite for cross-language transforms for Flink runner
> ----------------------------------------------------------------------------
>
> Key: BEAM-6683
> URL: https://issues.apache.org/jira/browse/BEAM-6683
> Project: Beam
> Issue Type: Test
> Components: testing
> Reporter: Chamikara Jayalath
> Assignee: Heejong Lee
> Priority: Major
> Time Spent: 3h 50m
> Remaining Estimate: 0h
>
> We should add an integration test suite that covers following.
> (1) Currently available Java IO connectors that do not use UDFs work for
> Python SDK on Flink runner.
> (2) Currently available Python IO connectors that do not use UDFs work for
> Java SDK on Flink runner.
> (3) Currently available Java/Python pipelines work in a scalable manner for
> cross-language pipelines (for example, try 10GB, 100GB input for
> textio/avroio for Java and Python).
>
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