[GitHub] spark pull request #16540: Nullability udfs

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/16540 --- 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

[GitHub] spark pull request #16540: Nullability udfs

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/16540 Nullability udfs ## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) ## How was this patch tested? (Please explain

[GitHub] spark pull request #14164: [SPARK-16629] Allow comparisons between UDTs and ...

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/14164 --- 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

[GitHub] spark issue #14164: [SPARK-16629] Allow comparisons between UDTs and Datatyp...

Github user damnMeddlingKid commented on the issue: https://github.com/apache/spark/pull/14164 I've tested this successfully with int and timestamp types, but it doesn't seem to work with DecimalType. Anyone know what could be wrong ? --- If your project is set up for i

[GitHub] spark pull request #14164: Allow comparisons between UDTs and Datatypes

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/14164 Allow comparisons between UDTs and Datatypes ## What changes were proposed in this pull request? Currently UDTs can not be compared to Datatypes even if their sqlTypes match. this

[GitHub] spark issue #13717: [SPARK-15811] [SQL] fix the Python UDF in Scala 2.10

Github user damnMeddlingKid commented on the issue: https://github.com/apache/spark/pull/13717 Just to take a step back, Is the suite lacking coverage for this feature ?. This sort of thing should have been caught in the unit tests. --- If your project is set up for it, you can

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/11333 --- 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

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

Github user damnMeddlingKid commented on the pull request: https://github.com/apache/spark/pull/11333#issuecomment-187964146 Hoping to get this into 1.6.1. --- 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

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/11333 [SPARK-13410][SQL] Support unionAll for DataFrames with UDT columns. ## What changes were proposed in this pull request? This PR adds equality operators to UDT classes so that they

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/11330 --- 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

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/11330 [SPARK-13410][SQL] Support unionAll for DataFrames with UDT columns. ## What changes were proposed in this pull request? This PR adds equality operators to UDT classes so that they

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

Github user damnMeddlingKid commented on the pull request: https://github.com/apache/spark/pull/11279#issuecomment-187749779 @rxin any chance this will make it into 1.6.1 ? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

Github user damnMeddlingKid commented on the pull request: https://github.com/apache/spark/pull/11279#issuecomment-186738811 Yeah I think its just the order of the output. I've made the ordering more explicit now, i've run these tests on my local machine and they pass. -

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

Github user damnMeddlingKid commented on the pull request: https://github.com/apache/spark/pull/11279#issuecomment-186467863 That should be it. --- 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

[GitHub] spark pull request: [SPARK-13410][SQL] Support unionAll for DataFr...

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/11279 [SPARK-13410][SQL] Support unionAll for DataFrames with UDT columns. ## What changes were proposed in this pull request? This PR adds equality operators to UDT classes so that they

[GitHub] spark pull request: Kafka streaming

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/10136 --- 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

[GitHub] spark pull request: Kafka streaming

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/10136 Kafka streaming You can merge this pull request into a Git repository by running: $ git pull https://github.com/Shopify/spark kafka_streaming Alternatively you can review and apply

[GitHub] spark pull request: New spark

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/9342 --- 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

[GitHub] spark pull request: New spark

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/9342 New spark You can merge this pull request into a Git repository by running: $ git pull https://github.com/Shopify/spark new_spark Alternatively you can review and apply these changes

[GitHub] spark pull request: Update spark

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/9341 --- 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

[GitHub] spark pull request: Update spark

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/9341 Update spark You can merge this pull request into a Git repository by running: $ git pull https://github.com/Shopify/spark update_spark Alternatively you can review and apply these

[GitHub] spark pull request: Packserv

Github user damnMeddlingKid closed the pull request at: https://github.com/apache/spark/pull/9151 --- 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

[GitHub] spark pull request: Packserv

GitHub user damnMeddlingKid opened a pull request: https://github.com/apache/spark/pull/9151 Packserv You can merge this pull request into a Git repository by running: $ git pull https://github.com/Shopify/spark packserv Alternatively you can review and apply these changes