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Posted to reviews@spark.apache.org by marmbrus <gi...@git.apache.org> on 2015/03/10 03:30:13 UTC
[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/4958
[SPARK-5183][SQL] Update SQL Docs with JDBC and Migration Guide
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/spark sqlDocs
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4958.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 #4958
----
commit 00d591469078dfae8e6ca219a661c63b5dce2a58
Author: Michael Armbrust <mi...@databricks.com>
Date: 2015-03-10T01:08:15Z
Update SQL Docs with JDBC and Migration Guide
commit 19c2735f2787febbe794160fccc519e6a3b41371
Author: Michael Armbrust <mi...@databricks.com>
Date: 2015-03-10T02:29:05Z
more on data source load/store
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78191538
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78180187
lgtm
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-77985271
/cc @rxin @davies
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26095372
--- Diff: docs/sql-programming-guide.md ---
@@ -1022,6 +1156,117 @@ results = sqlContext.sql("FROM src SELECT key, value").collect()
</div>
</div>
+## JDBC Connectivity
+
+Spark SQL also includes a datasource that can read data from other databases using JDBC. This
--- End diff --
datasource -> data source
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26095331
--- Diff: docs/sql-programming-guide.md ---
@@ -662,8 +662,142 @@ for name in names.collect():
Spark SQL supports operating on a variety of data sources through the `DataFrame` interface.
A DataFrame can be operated on as normal RDDs and can also be registered as a temporary table.
Registering a DataFrame as a table allows you to run SQL queries over its data. This section
-describes the various methods for loading data into a DataFrame.
+describes the general methods for loading and saving data using the Spark Data Sources and then
+goes into specific options that are available for the built-in data sources.
+## Generic Load/Save Functions
+
+In the simplest form, the default data source (`parquet` unless otherwise configured by
+`spark.sql.sources.default`) will be used for all operations.
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+{% highlight scala %}
+val df = sqlContext.load("people.parquet")
+df.select("name", "age").save("namesAndAges.parquet")
+{% endhighlight %}
+
+</div>
+
+<div data-lang="java" markdown="1">
+
+{% highlight java %}
+
+DataFrame df = sqlContext.load("people.parquet");
+df.select("name", "age").save("namesAndAges.parquet");
+
+{% endhighlight %}
+
+</div>
+
+<div data-lang="python" markdown="1">
+
+{% highlight python %}
+
+df = sqlContext.load("people.parquet")
+df.select("name", "age").save("namesAndAges.parquet")
+
+{% endhighlight %}
+
+</div>
+</div>
+
+### Manually Specifying Options
+
+You can also manually specify the data source that will be used along with any extra options
+that you would like to pass to the datasource. Data sources are specified by their fully qualified
+name (i.e., `org.apache.spark.sql.parquet`), but for built-in sources you can also use the shorted
+name (`json`, `parquet`, `jdbc`). DataFrames of any type can be converted into other types
+using this syntax.
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+{% highlight scala %}
+val df = sqlContext.load("json", "people.json")
+df.select("name", "age").save("parquet", "namesAndAges.parquet")
+{% endhighlight %}
+
+</div>
+
+<div data-lang="java" markdown="1">
+
+{% highlight java %}
+
+DataFrame df = sqlContext.load("json", "people.json");
+df.select("name", "age").save("parquet", "namesAndAges.parquet");
+
+{% endhighlight %}
+
+</div>
+
+<div data-lang="python" markdown="1">
+
+{% highlight python %}
+
+df = sqlContext.load("json", "people.parquet")
+df.select("name", "age").save("parquet", "namesAndAges.parquet")
+
+{% endhighlight %}
+
+</div>
+</div>
+
+### Save Modes
+
+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
+new data.
+
+<table class="table">
+<tr><th>SaveMode</th><th>Meaning</th></tr>
+<tr>
+ <td><code>SaveMode.ErrorIfExists</code> (default)</td>
--- End diff --
in python it is simply a string isn't it?
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-77985465
[Test build #28415 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28415/consoleFull) for PR 4958 at commit [`19c2735`](https://github.com/apache/spark/commit/19c2735f2787febbe794160fccc519e6a3b41371).
* This patch merges cleanly.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78184673
[Test build #28456 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28456/consoleFull) for PR 4958 at commit [`04b35cb`](https://github.com/apache/spark/commit/04b35cb7d7ae1f1306dbcb78022960f6d6628a5d).
* This patch merges cleanly.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26180682
--- Diff: docs/sql-programming-guide.md ---
@@ -1022,6 +1156,117 @@ results = sqlContext.sql("FROM src SELECT key, value").collect()
</div>
</div>
+## JDBC Connectivity
--- End diff --
JDBC To Other Databases?
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78181015
[Test build #28452 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28452/consoleFull) for PR 4958 at commit [`9351dbc`](https://github.com/apache/spark/commit/9351dbcee01d8a092fbfa1fa2d095474fcc68015).
* This patch merges cleanly.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by marmbrus <gi...@git.apache.org>.
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26180727
--- Diff: docs/sql-programming-guide.md ---
@@ -1022,6 +1156,117 @@ results = sqlContext.sql("FROM src SELECT key, value").collect()
</div>
</div>
+## JDBC Connectivity
+
+Spark SQL also includes a datasource that can read data from other databases using JDBC. This
+functionality is similar to JDBCRDD, but since the results are returned as a DataFrame they can
--- End diff --
I actually think for SEO we want to. If people are searching JdbcRDD then I'd love them to end up here. Do you think I should say that its going to be deprecated?
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78187940
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26095307
--- Diff: docs/sql-programming-guide.md ---
@@ -662,8 +662,142 @@ for name in names.collect():
Spark SQL supports operating on a variety of data sources through the `DataFrame` interface.
A DataFrame can be operated on as normal RDDs and can also be registered as a temporary table.
Registering a DataFrame as a table allows you to run SQL queries over its data. This section
-describes the various methods for loading data into a DataFrame.
+describes the general methods for loading and saving data using the Spark Data Sources and then
+goes into specific options that are available for the built-in data sources.
+## Generic Load/Save Functions
+
+In the simplest form, the default data source (`parquet` unless otherwise configured by
+`spark.sql.sources.default`) will be used for all operations.
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+{% highlight scala %}
+val df = sqlContext.load("people.parquet")
+df.select("name", "age").save("namesAndAges.parquet")
+{% endhighlight %}
+
+</div>
+
+<div data-lang="java" markdown="1">
+
+{% highlight java %}
+
+DataFrame df = sqlContext.load("people.parquet");
+df.select("name", "age").save("namesAndAges.parquet");
+
+{% endhighlight %}
+
+</div>
+
+<div data-lang="python" markdown="1">
+
+{% highlight python %}
+
+df = sqlContext.load("people.parquet")
+df.select("name", "age").save("namesAndAges.parquet")
+
+{% endhighlight %}
+
+</div>
+</div>
+
+### Manually Specifying Options
+
+You can also manually specify the data source that will be used along with any extra options
+that you would like to pass to the datasource. Data sources are specified by their fully qualified
+name (i.e., `org.apache.spark.sql.parquet`), but for built-in sources you can also use the shorted
+name (`json`, `parquet`, `jdbc`). DataFrames of any type can be converted into other types
+using this syntax.
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+{% highlight scala %}
+val df = sqlContext.load("json", "people.json")
+df.select("name", "age").save("parquet", "namesAndAges.parquet")
--- End diff --
data source should be the last argument (we did it for python)
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78188394
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26095377
--- Diff: docs/sql-programming-guide.md ---
@@ -662,8 +662,142 @@ for name in names.collect():
Spark SQL supports operating on a variety of data sources through the `DataFrame` interface.
A DataFrame can be operated on as normal RDDs and can also be registered as a temporary table.
Registering a DataFrame as a table allows you to run SQL queries over its data. This section
-describes the various methods for loading data into a DataFrame.
+describes the general methods for loading and saving data using the Spark Data Sources and then
+goes into specific options that are available for the built-in data sources.
+## Generic Load/Save Functions
+
+In the simplest form, the default data source (`parquet` unless otherwise configured by
+`spark.sql.sources.default`) will be used for all operations.
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+
+{% highlight scala %}
+val df = sqlContext.load("people.parquet")
+df.select("name", "age").save("namesAndAges.parquet")
+{% endhighlight %}
+
+</div>
+
+<div data-lang="java" markdown="1">
+
+{% highlight java %}
+
+DataFrame df = sqlContext.load("people.parquet");
+df.select("name", "age").save("namesAndAges.parquet");
+
+{% endhighlight %}
+
+</div>
+
+<div data-lang="python" markdown="1">
+
+{% highlight python %}
+
+df = sqlContext.load("people.parquet")
+df.select("name", "age").save("namesAndAges.parquet")
+
+{% endhighlight %}
+
+</div>
+</div>
+
+### Manually Specifying Options
+
+You can also manually specify the data source that will be used along with any extra options
+that you would like to pass to the datasource. Data sources are specified by their fully qualified
--- End diff --
datasource -> data source
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26095363
--- Diff: docs/sql-programming-guide.md ---
@@ -1022,6 +1156,117 @@ results = sqlContext.sql("FROM src SELECT key, value").collect()
</div>
</div>
+## JDBC Connectivity
--- End diff --
JDBC Data Source?
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by rxin <gi...@git.apache.org>.
Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4958#discussion_r26095403
--- Diff: docs/sql-programming-guide.md ---
@@ -1022,6 +1156,117 @@ results = sqlContext.sql("FROM src SELECT key, value").collect()
</div>
</div>
+## JDBC Connectivity
+
+Spark SQL also includes a datasource that can read data from other databases using JDBC. This
+functionality is similar to JDBCRDD, but since the results are returned as a DataFrame they can
--- End diff --
might be best not to mention jdbcrdd, since we should probably deprecate it now.
if you want to mention it, use "JdbcRDD"
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78187934
[Test build #28451 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28451/consoleFull) for PR 4958 at commit [`d81b7e7`](https://github.com/apache/spark/commit/d81b7e729632b1a557859f070337a02b1e1422ea).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78191533
[Test build #28456 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28456/consoleFull) for PR 4958 at commit [`04b35cb`](https://github.com/apache/spark/commit/04b35cb7d7ae1f1306dbcb78022960f6d6628a5d).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78188389
[Test build #28452 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28452/consoleFull) for PR 4958 at commit [`9351dbc`](https://github.com/apache/spark/commit/9351dbcee01d8a092fbfa1fa2d095474fcc68015).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-77991895
[Test build #28415 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28415/consoleFull) for PR 4958 at commit [`19c2735`](https://github.com/apache/spark/commit/19c2735f2787febbe794160fccc519e6a3b41371).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-78180500
[Test build #28451 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/28451/consoleFull) for PR 4958 at commit [`d81b7e7`](https://github.com/apache/spark/commit/d81b7e729632b1a557859f070337a02b1e1422ea).
* This patch merges cleanly.
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/4958
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[GitHub] spark pull request: [SPARK-5183][SQL] Update SQL Docs with JDBC an...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4958#issuecomment-77991900
Test PASSed.
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Test PASSed.
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