[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15427 Thanks for review! @rxin @cloud-fan --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/15427 LGTM, merging to master! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15427 1. `Dataset.dropDuplicates()` should definitely drop duplicates for all columns. 2. `Dataset.dropDuplicates(col: String)` should also drop duplicates for all columns matching the name. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/15427 My thoughts: 1. `Dataset.dropDuplicates()` should drop duplicates for all columns, the current implementation is wrong, this PR fixed it. 2. `Dataset.dropDuplicates(col: String)` should drop the first column matching the given name, or all matched columns? `Dataset.drop(col: String)` also drops all matched columns, the new behaviour seems reasonable. But we should be very careful, as this is a breaking change. cc @rxin --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
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[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
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[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/15427 **[Test build #66790 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66790/consoleFull)** for PR 15427 at commit [`81339dc`](https://github.com/apache/spark/commit/81339dc429104633ee28cf078f643b5050564557). * This patch passes all tests. * This patch merges cleanly. * This patch adds no public classes. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
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[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15427 cc @cloud-fan @hvanhovell --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
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[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
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[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
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[GitHub] spark issue #15427: [SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicat...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/15427 **[Test build #66724 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66724/consoleFull)** for PR 15427 at commit [`dd6405c`](https://github.com/apache/spark/commit/dd6405c003ea082b1c614f2efed4d1bcb2d6f5b9). --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
