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https://issues.apache.org/jira/browse/BEAM-8603?focusedWorklogId=416036&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-416036
]
ASF GitHub Bot logged work on BEAM-8603:
----------------------------------------
Author: ASF GitHub Bot
Created on: 04/Apr/20 22:06
Start Date: 04/Apr/20 22:06
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on pull request #10055:
[BEAM-8603] Add Python SqlTransform
URL: https://github.com/apache/beam/pull/10055#discussion_r403514475
##########
File path:
buildSrc/src/main/groovy/org/apache/beam/gradle/BeamModulePlugin.groovy
##########
@@ -1779,6 +1779,33 @@ class BeamModulePlugin implements Plugin<Project> {
cleanupTask.mustRunAfter pythonTask
config.cleanupJobServer.mustRunAfter pythonTask
}
+ // Task for running testcases in Python SDK
+ def testOpts = [
+ "--attr=UsesSqlExpansionService"
+ ]
+ def pipelineOpts = [
+ "--runner=PortableRunner",
+ "--environment_cache_millis=10000",
+ "--job_endpoint=${config.jobEndpoint}"
+ ]
+ def beamPythonTestPipelineOptions = [
+ "pipeline_opts": pipelineOpts,
+ "test_opts": testOpts,
+ "suite": "xlangSqlValidateRunner"
+ ]
+ def cmdArgs =
project.project(':sdks:python').mapToArgString(beamPythonTestPipelineOptions)
+ def pythonSqlTask = project.tasks.create(name:
config.name+"PythonUsingSql", type: Exec) {
Review comment:
This is outside of the `['Java': javaPort, 'Python': pythonPort].each` block
so I don't think it will get created twice. Is there an advantage to adding SQL
to the testing expansion service over just using the SQL expansion service
directly?
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Issue Time Tracking
-------------------
Worklog Id: (was: 416036)
Time Spent: 7h 10m (was: 7h)
> Add Python SqlTransform MVP
> ---------------------------
>
> Key: BEAM-8603
> URL: https://issues.apache.org/jira/browse/BEAM-8603
> Project: Beam
> Issue Type: Improvement
> Components: dsl-sql, sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: Major
> Time Spent: 7h 10m
> Remaining Estimate: 0h
>
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