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2018-08-31 Thread ueshin
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2018-08-31 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/20637 I see. Let me remove the change regarding `asNullable` from this PR. I will create another PR after this PR is merged. --- - To

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2018-08-31 Thread mgaido91
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2018-08-31 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20637 BTW there are so many kinds of bad UTs, we should clearly define the scope when fixing it. --- - To unsubscribe, e-mail:

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2018-08-31 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20637 Now the topic becomes detecting bad UTs, instead of "Remove redundant null checks". Can we focus on "Remove redundant null checks" in this PR and send another PR for detecting bad UTs?

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2018-08-31 Thread ueshin
Github user ueshin commented on the issue: https://github.com/apache/spark/pull/20637 Note that if we miss non-primitive type tests unfortunately, we can't detect the bad UTs without `asNullable` because they won't throw any exceptions but just use the default value. ---

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2018-08-31 Thread mgaido91
Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/20637 > If someone would unintentionally generate incorrect dataType, we must detect the mistake by failing the test without an exception. This is the part I don't agree with. If someone writes

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2018-08-31 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/20637 We need to detect the correctly written test with a wrong result. Let us think about the following `map_zip_with` without #22126. In the following example, `map_zip_with` without #22126

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2018-08-31 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20637 can you give a concrete example of how this can detect incorrect results? The removed test case only shows how we can detect a wrongly written test. ---

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2018-08-31 Thread kiszk
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2018-08-30 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20637 with the test removed, do we still need this change? https://github.com/apache/spark/pull/20637/files#diff-41747ec3f56901eb7bfb95d2a217e94dR226 ---

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[GitHub] spark issue #20637: [SPARK-23466][SQL] Remove redundant null checks in gener...

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[GitHub] spark issue #20637: [SPARK-23466][SQL] Remove redundant null checks in gener...

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2018-08-13 Thread HyukjinKwon
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2018-08-10 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20637 > When spark.sql.fromJsonForceNullableSchema=false, I think that a test is invalid to pass nullable=false in the corresponding schema to the missing field. +1. ---

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