[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user tgravescs commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r38089726 --- Diff: docs/sql-programming-guide.md --- @@ -1696,12 +1711,16 @@ version specified by users. An isolated classloader is used here to avoid depend property can be one of three options: ol licodebuiltin/code/li -Use Hive 0.13.1, which is bundled with the Spark assembly jar when code-Phive/code is +Use Hive 1.2.1, which is bundled with the Spark assembly jar when code-Phive/code is enabled. When this option is chosen, codespark.sql.hive.metastore.version/code must be -either code0.13.1/code or not defined. +either code1.2.1/code or not defined. licodemaven/code/li -Use Hive jars of specified version downloaded from Maven repositories. -liA classpath in the standard format for both Hive and Hadoop./li +Use Hive jars of specified version downloaded from Maven repositories. This configuration +is not generally recommended for production deployments. +liA classpath in the standard format for the JVM. This classpath must include all of Hive +and its dependencies, including the correct version of Hadoop. These jars only need to be +present on the driver, but if you are running in yarn client mode then you must ensure --- End diff -- These jars aren't needed by the executors at all? If that is the case the only time they need to be shipped is in yarn cluster mode. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user tgravescs commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-135508637 thanks LGTM --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r38126088 --- Diff: docs/sql-programming-guide.md --- @@ -1696,12 +1711,16 @@ version specified by users. An isolated classloader is used here to avoid depend property can be one of three options: ol licodebuiltin/code/li -Use Hive 0.13.1, which is bundled with the Spark assembly jar when code-Phive/code is +Use Hive 1.2.1, which is bundled with the Spark assembly jar when code-Phive/code is enabled. When this option is chosen, codespark.sql.hive.metastore.version/code must be -either code0.13.1/code or not defined. +either code1.2.1/code or not defined. licodemaven/code/li -Use Hive jars of specified version downloaded from Maven repositories. -liA classpath in the standard format for both Hive and Hadoop./li +Use Hive jars of specified version downloaded from Maven repositories. This configuration +is not generally recommended for production deployments. +liA classpath in the standard format for the JVM. This classpath must include all of Hive +and its dependencies, including the correct version of Hadoop. These jars only need to be +present on the driver, but if you are running in yarn client mode then you must ensure --- End diff -- Correct, they are only used by the driver to get metadata. Thanks for the clarification on cluster vs client. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user marmbrus commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-135519881 Thanks guys! Merged to master and 1.5 --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r37953102 --- Diff: docs/sql-programming-guide.md --- @@ -1988,6 +2005,27 @@ options. # Migration Guide +## Upgrading From Spark SQL 1.4 to 1.5 + + - Optimized execution using manually managed memory (Tungsten) is now enabled by default, along with + code generation for expression evaluation. These features can both be disabled by setting + `spark.sql.tungsten.enabled` to `false. + - Parquet schema merging is no longer enabled by default. It can be re-enabled by setting + `spark.sql.parquet.mergeSchema` to `true`. + - Resolution of strings to columns in python now supports using dots (`.`) to qualify the column or + access nested values. For example `df['table.column.nestedField']`. However, this means that if + your column name contains any dots you must now escape them using backticks. --- End diff -- should give an example of using backticks here --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r37953140 --- Diff: docs/sql-programming-guide.md --- @@ -1988,6 +2005,27 @@ options. # Migration Guide +## Upgrading From Spark SQL 1.4 to 1.5 + + - Optimized execution using manually managed memory (Tungsten) is now enabled by default, along with + code generation for expression evaluation. These features can both be disabled by setting + `spark.sql.tungsten.enabled` to `false. + - Parquet schema merging is no longer enabled by default. It can be re-enabled by setting + `spark.sql.parquet.mergeSchema` to `true`. + - Resolution of strings to columns in python now supports using dots (`.`) to qualify the column or + access nested values. For example `df['table.column.nestedField']`. However, this means that if + your column name contains any dots you must now escape them using backticks. + - In-memory columnar storage partition pruning is on by default. It can be disabled by setting + `spark.sql.inMemoryColumnarStorage.partitionPruning` to `false`. + - Unlimited precision decimal columns are no longer supported, instead Spark SQL enforces a maximum --- End diff -- should also mention that timestamp precision is now 1us, rather than 1ns. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user cloud-fan commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134939560 In JDBC part we give an example of how to include extra jars by `SPARK_CLASSPATH=postgresql-9.3-1102-jdbc41.jar bin/spark-shell`. However, `SPARK_CLASSPATH` is deprecated, should we update that? --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user rxin commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r37953029 --- Diff: docs/sql-programming-guide.md --- @@ -870,12 +886,11 @@ saveDF(select(df, name, age), namesAndAges.parquet, parquet) Save operations can optionally take a `SaveMode`, that specifies how to handle existing data if present. It is important to realize that these save modes do not utilize any locking and are not -atomic. Thus, it is not safe to have multiple writers attempting to write to the same location. -Additionally, when performing a `Overwrite`, the data will be deleted before writing out the +atomic. Additionally, when performing a `Overwrite`, the data will be deleted before writing out the new data. table class=table -trthScala/Java/ththPython/ththMeaning/th/tr +trthScala/Java/ththAny Language/ththMeaning/th/tr --- End diff -- Python/R rather than Any Language? --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r37964191 --- Diff: docs/sql-programming-guide.md --- @@ -11,7 +11,7 @@ title: Spark SQL and DataFrames Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can also act as distributed SQL query engine. -For how to enable Hive support, please refer to the [Hive Tables](#hive-tables) section. +Spark SQL can also be used to read from data from an existing Hive installation. For more on how to configure this feature, please refer to the [Hive Tables](#hive-tables) section. --- End diff -- typo? should be `...read data from...` --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user tgravescs commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-135015171 Perhaps this is a separate jira but the build doc needs to be updated for building with hive also. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user tgravescs commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r37981427 --- Diff: docs/sql-programming-guide.md --- @@ -1667,12 +1682,14 @@ version specified by users. An isolated classloader is used here to avoid depend property can be one of three options: ol licodebuiltin/code/li -Use Hive 0.13.1, which is bundled with the Spark assembly jar when code-Phive/code is +Use Hive 1.2.1, which is bundled with the Spark assembly jar when code-Phive/code is enabled. When this option is chosen, codespark.sql.hive.metastore.version/code must be -either code0.13.1/code or not defined. +either code1.2.1/code or not defined. licodemaven/code/li -Use Hive jars of specified version downloaded from Maven repositories. -liA classpath in the standard format for both Hive and Hadoop./li +Use Hive jars of specified version downloaded from Maven repositories. This configuration +is not generally recommended for production deployments. +liA classpath in the standard format for the JVM. This classpath must include all of Hive --- End diff -- It might be nice if we could say something about the jars either need to be installed on the cluster or on yarn shipped with your application. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user rxin commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-135295332 LGTM --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r38056282 --- Diff: docs/sql-programming-guide.md --- @@ -870,12 +886,11 @@ saveDF(select(df, name, age), namesAndAges.parquet, parquet) Save operations can optionally take a `SaveMode`, that specifies how to handle existing data if present. It is important to realize that these save modes do not utilize any locking and are not -atomic. Thus, it is not safe to have multiple writers attempting to write to the same location. -Additionally, when performing a `Overwrite`, the data will be deleted before writing out the +atomic. Additionally, when performing a `Overwrite`, the data will be deleted before writing out the new data. table class=table -trthScala/Java/ththPython/ththMeaning/th/tr +trthScala/Java/ththAny Language/ththMeaning/th/tr --- End diff -- It works in scala too though? I wasn't really sure what to do here. We could also just delete the other column? --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user marmbrus commented on a diff in the pull request: https://github.com/apache/spark/pull/8441#discussion_r38056679 --- Diff: docs/sql-programming-guide.md --- @@ -1988,6 +2005,27 @@ options. # Migration Guide +## Upgrading From Spark SQL 1.4 to 1.5 + + - Optimized execution using manually managed memory (Tungsten) is now enabled by default, along with + code generation for expression evaluation. These features can both be disabled by setting + `spark.sql.tungsten.enabled` to `false. + - Parquet schema merging is no longer enabled by default. It can be re-enabled by setting + `spark.sql.parquet.mergeSchema` to `true`. + - Resolution of strings to columns in python now supports using dots (`.`) to qualify the column or + access nested values. For example `df['table.column.nestedField']`. However, this means that if + your column name contains any dots you must now escape them using backticks. --- End diff -- Haha, I didn't know how to escape backticks and was lazy... --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
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[GitHub] spark pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
GitHub user marmbrus opened a pull request: https://github.com/apache/spark/pull/8441 [SPARK-9148][SPARK-10252][SQL] Update SQL Programming Guide You can merge this pull request into a Git repository by running: $ git pull https://github.com/marmbrus/spark documentation Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/8441.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #8441 commit f11c1693627d9417db1dbf3dca764c63f484ad1b Author: Michael Armbrust mich...@databricks.com Date: 2015-08-26T01:33:43Z [SPARK-9148][SPARK-10252][SQL] Update SQL Programming Guide --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134786088 Merged build triggered. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134786378 [Test build #41581 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41581/consoleFull) for PR 8441 at commit [`f11c169`](https://github.com/apache/spark/commit/f11c1693627d9417db1dbf3dca764c63f484ad1b). --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134786103 Merged build started. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134789036 Merged build finished. Test PASSed. --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134788968 [Test build #41581 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41581/console) for PR 8441 at commit [`f11c169`](https://github.com/apache/spark/commit/f11c1693627d9417db1dbf3dca764c63f484ad1b). * This patch **passes all tests**. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class FPGrowthModel[Item: ClassTag] @Since(1.3.0) (` * ` class FreqItemset[Item] @Since(1.3.0) (` * ` class FreqSequence[Item] @Since(1.5.0) (` * `class PrefixSpanModel[Item] @Since(1.5.0) (` --- 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 pull request: [SPARK-9148][SPARK-10252][SQL] Update SQL Prog...
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/8441#issuecomment-134789038 Test PASSed. Refer to this link for build results (access rights to CI server needed): https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41581/ Test PASSed. --- 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
