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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2021/04/14 19:07:04 UTC
[GitHub] [beam] y1chi opened a new pull request #14538: Add a BigTableRead test with larger input size
y1chi opened a new pull request #14538:
URL: https://github.com/apache/beam/pull/14538
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[GitHub] [beam] y1chi commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
y1chi commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-819861808
> It might be out of scope of this PR, but do we consider having the input size as a pipeline options? It will be much easier if we decide to test on an even larger dataset.
I've though about that, but the way external IT are executed internally nowadays makes it complicated for testing a single test function with different sets of pipeline options (we pass one predefined set of options by looking up the test method name).
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[GitHub] [beam] y1chi commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
y1chi commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-819840848
> Is the table created manually? Is there code to recreate it in case it gets dropped or needs to be changed?
The table exists already though I'm not sure how it was created before.
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[GitHub] [beam] y1chi commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
y1chi commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-820573149
> To clarify my comment:
>
> * If test data is cheap, it is created as part of test method
> * If test data is expensive enough to keep, it is created with code that is checked in, and some instructions can be in the comments. This way you can re-run the code to re-initialize a new environment, adjust the test code and data generation together, etc.
I tried to find how the tables were created by found no clue. It was likely manually created a long time ago. As a side note I think test tables can be created by following https://cloud.google.com/bigtable/docs/creating-test-table.
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[GitHub] [beam] boyuanzz commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
boyuanzz commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-820606306
> https://cloud.google.com/bigtable/docs/creating-test-table
It seems like the test data we are using is a public test set from BigTable: `You can now use the test-table on the test-instance to try code snippets`, right? For me it's ok to use public test data set.
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[GitHub] [beam] boyuanzz commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
boyuanzz commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-820607884
> > It might be out of scope of this PR, but do we consider having the input size as a pipeline options? It will be much easier if we decide to test on an even larger dataset.
>
> I've though about that, but the way external IT are executed internally nowadays makes it complicated for testing a single test function with different sets of pipeline options (we pass one predefined set of options by looking up the test method name).
What's the purpose to have BigTableRead run against a larger data set as well?
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[GitHub] [beam] y1chi edited a comment on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
y1chi edited a comment on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-820573149
> To clarify my comment:
>
> * If test data is cheap, it is created as part of test method
> * If test data is expensive enough to keep, it is created with code that is checked in, and some instructions can be in the comments. This way you can re-run the code to re-initialize a new environment, adjust the test code and data generation together, etc.
I tried to find how the tables were created but found no clue. It was likely manually created a long time ago. As a side note I think test tables can be created by following https://cloud.google.com/bigtable/docs/creating-test-table.
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[GitHub] [beam] y1chi commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
y1chi commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-820641436
> > https://cloud.google.com/bigtable/docs/creating-test-table
>
> It seems like the test data we are using is a public test set from BigTable: `You can now use the test-table on the test-instance to try code snippets`, right? For me it's ok to use public test data set.
the test data is put into google.com:deft-test-integration a long time ago looks like.
> What's the purpose to have BigTableRead run against a larger data set as well?
It is more suitable to be used as benchmark for performance tracking purpose. Current 1K row read finishes in a few seconds.
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[GitHub] [beam] boyuanzz commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
boyuanzz commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-820650099
> > What's the purpose to have BigTableRead run against a larger data set as well?
>
> It is more suitable to be used as benchmark for performance tracking purpose. Current 1K row read finishes in a few seconds.
I think it would be nice to separate E2E integration tests from benchmark/load tests. We usually want to run a small data set for E2E integration test to make it finish as soon as possible. Having read size as pipeline options can help us invoke the same test for different purpose. For example, most of performance jobs: https://github.com/apache/beam/tree/master/.test-infra/jenkins#performance-jobs are configurable for the input size.
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[GitHub] [beam] y1chi commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
y1chi commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-819815389
R: @boyuanzz @kennknowles
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[GitHub] [beam] boyuanzz commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
boyuanzz commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-819844881
It might be out of scope of this PR, but do we consider having the input size as a pipeline options? It will be much easier if we decide to test on an even larger dataset.
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[GitHub] [beam] boyuanzz edited a comment on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
boyuanzz edited a comment on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-819844881
It might be out of scope of this PR, but do we consider having the input size as a pipeline options? It will be much easier if we decide to test on an even larger dataset. For example, it can be part of the `BigtableTestOptions`.
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[GitHub] [beam] kennknowles commented on pull request #14538: Add a BigTableRead test with larger input size
Posted by GitBox <gi...@apache.org>.
kennknowles commented on pull request #14538:
URL: https://github.com/apache/beam/pull/14538#issuecomment-819873579
To clarify my comment:
- If test data is cheap, it is created as part of test method
- If test data is expensive enough to keep, it is created with code that is checked in, and some instructions can be in the comments. This way you can re-run the code to re-initialize a new environment, adjust the test code and data generation together, etc.
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