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2016-05-10 Thread yhuai
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2016-05-10 Thread asfgit
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2016-05-10 Thread yhuai
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2016-05-10 Thread SparkQA
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2016-05-10 Thread tdas
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2016-05-10 Thread tdas
Github user tdas commented on a diff in the pull request: https://github.com/apache/spark/pull/12616#discussion_r62741272 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala --- @@ -444,6 +445,79 @@ class FileStreamSourceSuite extends

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2016-05-10 Thread tdas
Github user tdas commented on a diff in the pull request: https://github.com/apache/spark/pull/12616#discussion_r62741054 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala --- @@ -97,21 +102,30 @@ class FileStreamSource(

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2016-05-10 Thread tdas
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2016-05-10 Thread yhuai
Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/12616#discussion_r62739836 --- Diff: sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala --- @@ -444,6 +445,79 @@ class FileStreamSourceSuite extends

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2016-05-10 Thread yhuai
Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/12616#discussion_r62737973 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala --- @@ -33,12 +35,14 @@ import

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2016-05-10 Thread yhuai
Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/12616#discussion_r62738019 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala --- @@ -97,21 +102,30 @@ class FileStreamSource(

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2016-05-10 Thread yhuai
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2016-05-10 Thread yhuai
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2016-05-10 Thread tdas
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2016-05-09 Thread SparkQA
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2016-05-09 Thread SparkQA
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2016-04-28 Thread tdas
Github user tdas commented on the pull request: https://github.com/apache/spark/pull/12616#issuecomment-215562885 @marmbrus Please take a look once again. --- 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

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2016-04-28 Thread tdas
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2016-04-28 Thread tdas
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2016-04-28 Thread tdas
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2016-04-28 Thread tdas
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2016-04-28 Thread tdas
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2016-04-28 Thread tdas
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2016-04-28 Thread tdas
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2016-04-28 Thread SparkQA
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2016-04-25 Thread ScrapCodes
Github user ScrapCodes commented on the pull request: https://github.com/apache/spark/pull/12616#issuecomment-214622436 This is also supported by hadoop. For example, we can pass the globs in sc.textFile("/dir/*/*"). I was wondering, if it will be implemented again. --- If your

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2016-04-22 Thread marmbrus
Github user marmbrus commented on the pull request: https://github.com/apache/spark/pull/12616#issuecomment-213567878 I.e. something like `/dir/*/*`. We either do it in DataSource or HDFSFileCatalog. --- If your project is set up for it, you can reply to this email and have your

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2016-04-22 Thread tdas
Github user tdas commented on the pull request: https://github.com/apache/spark/pull/12616#issuecomment-213561278 Globbing? Can you explain that a bit. Code links? --- 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

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2016-04-22 Thread marmbrus
Github user marmbrus commented on the pull request: https://github.com/apache/spark/pull/12616#issuecomment-213559435 Why not just support globbing like we do in batch? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If

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2016-04-22 Thread SparkQA
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2016-04-22 Thread tdas
Github user tdas commented on the pull request: https://github.com/apache/spark/pull/12616#issuecomment-213549288 @marmbrus @zsxwing --- 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

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2016-04-22 Thread tdas
GitHub user tdas opened a pull request: https://github.com/apache/spark/pull/12616 [SPARK-14837][SQL][STREAMING] Added support in file stream source for reading new files added to subdirs ## What changes were proposed in this pull request? Currently, file stream source can only