Github user tejasapatil commented on the issue:
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@gatorsmile + @rxin : I had made a note of your comments but was not able
to get to it that time because I had other time critical projects to be worked
on. I have put out a PR which improves th
Github user gatorsmile commented on the issue:
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Yeah, my previous team also uses a similar FVT tool for populating database
tables. It is pretty useful.
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Github user rxin commented on the issue:
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One testing technique we have used internally at Databricks (not for Spark)
is to use random data generator to generate a bunch of data, and run through
the reference implementation to get the results,
Github user gatorsmile commented on the issue:
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@tejasapatil It sounds like the test case coverage is limited. It does not
cover all the data types, right?
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@gatorsmile : I have tests in `HiveHasherSuite` to compare the values
against expected one. Initially I had thought about generating random input and
calling the original Hive's hash function to
Github user gatorsmile commented on the issue:
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Do we need a test suite for comparing the generated hash value is identical
to the value by Hive?
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Github user hvanhovell commented on the issue:
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Merging to master. Thanks!
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@tejasapatil I have triggered a new build. I'll merge this as soon as it
completes successfully.
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Retest this please
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Github user hvanhovell commented on the issue:
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LGTM. I'll let @cloud-fan sign off on this.
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jenkins retest this please
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jenkins retest this please
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@tejasapatil could add this hash to `HashByteArrayBenchmark` and to
`HashBenchmark` and update the results of these tests.
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@hvanhovell Done with all changes. Ready for review.
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Github user rxin commented on the issue:
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hard coding output seems like a good idea.
additionally, if you want to be super safe, you could also create a
randomized test in sql/hive.
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@rxin : I could but the test case depends on few Hive classes for
validation. I could either (keep the test case in sql/hive and move HiveHash to
sql/catalyst) OR (move both to sql/catalyst and
Github user rxin commented on the issue:
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Can we move this into catalyst.expressions in sql/catalyst?
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@tejasapatil this looks pretty good overal. I left a few comments.
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@rxin : can you recommend me someone for reviewing this PR ?
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