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-rw-r--r--CONTRIBUTING.md2
-rw-r--r--R/pkg/R/sparkR.R4
-rwxr-xr-xdocs/_layouts/global.html2
-rw-r--r--docs/index.md2
-rw-r--r--docs/sparkr.md3
-rw-r--r--docs/streaming-programming-guide.md2
-rw-r--r--sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala7
-rw-r--r--sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala9
-rw-r--r--sql/core/src/test/scala/org/apache/spark/sql/sources/ResolvedDataSourceSuite.scala6
9 files changed, 18 insertions, 19 deletions
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f10d7e277e..1a8206abe3 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -6,7 +6,7 @@ It lists steps that are required before creating a PR. In particular, consider:
- Is the change important and ready enough to ask the community to spend time reviewing?
- Have you searched for existing, related JIRAs and pull requests?
-- Is this a new feature that can stand alone as a package on http://spark-packages.org ?
+- Is this a new feature that can stand alone as a [third party project](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects) ?
- Is the change being proposed clearly explained and motivated?
When you contribute code, you affirm that the contribution is your original work and that you
diff --git a/R/pkg/R/sparkR.R b/R/pkg/R/sparkR.R
index 15afe01c24..06015362e6 100644
--- a/R/pkg/R/sparkR.R
+++ b/R/pkg/R/sparkR.R
@@ -100,7 +100,7 @@ sparkR.stop <- function() {
#' @param sparkEnvir Named list of environment variables to set on worker nodes
#' @param sparkExecutorEnv Named list of environment variables to be used when launching executors
#' @param sparkJars Character vector of jar files to pass to the worker nodes
-#' @param sparkPackages Character vector of packages from spark-packages.org
+#' @param sparkPackages Character vector of package coordinates
#' @seealso \link{sparkR.session}
#' @rdname sparkR.init-deprecated
#' @export
@@ -327,7 +327,7 @@ sparkRHive.init <- function(jsc = NULL) {
#' @param sparkHome Spark Home directory.
#' @param sparkConfig named list of Spark configuration to set on worker nodes.
#' @param sparkJars character vector of jar files to pass to the worker nodes.
-#' @param sparkPackages character vector of packages from spark-packages.org
+#' @param sparkPackages character vector of package coordinates
#' @param enableHiveSupport enable support for Hive, fallback if not built with Hive support; once
#' set, this cannot be turned off on an existing session
#' @param ... named Spark properties passed to the method.
diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index d3bf082aa7..ad5b5c9adf 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -114,7 +114,7 @@
<li class="divider"></li>
<li><a href="building-spark.html">Building Spark</a></li>
<li><a href="https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark">Contributing to Spark</a></li>
- <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Supplemental+Spark+Projects">Supplemental Projects</a></li>
+ <li><a href="https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects">Third Party Projects</a></li>
</ul>
</li>
</ul>
diff --git a/docs/index.md b/docs/index.md
index 0cb8803783..a7a92f6c4f 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -120,7 +120,7 @@ options for deployment:
* [OpenStack Swift](storage-openstack-swift.html)
* [Building Spark](building-spark.html): build Spark using the Maven system
* [Contributing to Spark](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark)
-* [Supplemental Projects](https://cwiki.apache.org/confluence/display/SPARK/Supplemental+Spark+Projects): related third party Spark projects
+* [Third Party Projects](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects): related third party Spark projects
**External Resources:**
diff --git a/docs/sparkr.md b/docs/sparkr.md
index 4bbc362c52..b881119731 100644
--- a/docs/sparkr.md
+++ b/docs/sparkr.md
@@ -110,7 +110,8 @@ head(df)
SparkR supports operating on a variety of data sources through the `SparkDataFrame` interface. This section describes the general methods for loading and saving data using Data Sources. You can check the Spark SQL programming guide for more [specific options](sql-programming-guide.html#manually-specifying-options) that are available for the built-in data sources.
-The general method for creating SparkDataFrames from data sources is `read.df`. This method takes in the path for the file to load and the type of data source, and the currently active SparkSession will be used automatically. SparkR supports reading JSON, CSV and Parquet files natively and through [Spark Packages](http://spark-packages.org/) you can find data source connectors for popular file formats like [Avro](http://spark-packages.org/package/databricks/spark-avro). These packages can either be added by
+The general method for creating SparkDataFrames from data sources is `read.df`. This method takes in the path for the file to load and the type of data source, and the currently active SparkSession will be used automatically.
+SparkR supports reading JSON, CSV and Parquet files natively, and through packages available from sources like [Third Party Projects](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects), you can find data source connectors for popular file formats like Avro. These packages can either be added by
specifying `--packages` with `spark-submit` or `sparkR` commands, or if initializing SparkSession with `sparkPackages` parameter when in an interactive R shell or from RStudio.
<div data-lang="r" markdown="1">
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 5392b4a9bc..43f1cf3e31 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -2382,7 +2382,7 @@ additional effort may be necessary to achieve exactly-once semantics. There are
- [Kafka Integration Guide](streaming-kafka-integration.html)
- [Kinesis Integration Guide](streaming-kinesis-integration.html)
- [Custom Receiver Guide](streaming-custom-receivers.html)
-* Third-party DStream data sources can be found in [Spark Packages](https://spark-packages.org/)
+* Third-party DStream data sources can be found in [Third Party Projects](https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects)
* API documentation
- Scala docs
* [StreamingContext](api/scala/index.html#org.apache.spark.streaming.StreamingContext) and
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
index 71807b771a..825c01365d 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
@@ -142,12 +142,13 @@ case class DataSource(
} else if (provider.toLowerCase == "avro" ||
provider == "com.databricks.spark.avro") {
throw new AnalysisException(
- s"Failed to find data source: ${provider.toLowerCase}. Please use Spark " +
- "package http://spark-packages.org/package/databricks/spark-avro")
+ s"Failed to find data source: ${provider.toLowerCase}. Please find an Avro " +
+ "package at " +
+ "https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects")
} else {
throw new ClassNotFoundException(
s"Failed to find data source: $provider. Please find packages at " +
- "http://spark-packages.org",
+ "https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects",
error)
}
}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index a2164f9ae3..3cc3b319f5 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -1645,21 +1645,18 @@ class SQLQuerySuite extends QueryTest with SharedSQLContext {
e = intercept[AnalysisException] {
sql(s"select id from `com.databricks.spark.avro`.`file_path`")
}
- assert(e.message.contains("Failed to find data source: com.databricks.spark.avro. " +
- "Please use Spark package http://spark-packages.org/package/databricks/spark-avro"))
+ assert(e.message.contains("Failed to find data source: com.databricks.spark.avro."))
// data source type is case insensitive
e = intercept[AnalysisException] {
sql(s"select id from Avro.`file_path`")
}
- assert(e.message.contains("Failed to find data source: avro. Please use Spark package " +
- "http://spark-packages.org/package/databricks/spark-avro"))
+ assert(e.message.contains("Failed to find data source: avro."))
e = intercept[AnalysisException] {
sql(s"select id from avro.`file_path`")
}
- assert(e.message.contains("Failed to find data source: avro. Please use Spark package " +
- "http://spark-packages.org/package/databricks/spark-avro"))
+ assert(e.message.contains("Failed to find data source: avro."))
e = intercept[AnalysisException] {
sql(s"select id from `org.apache.spark.sql.sources.HadoopFsRelationProvider`.`file_path`")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/ResolvedDataSourceSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/ResolvedDataSourceSuite.scala
index 5ea1f32433..76ffb949f1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/sources/ResolvedDataSourceSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/ResolvedDataSourceSuite.scala
@@ -74,16 +74,16 @@ class ResolvedDataSourceSuite extends SparkFunSuite {
val error1 = intercept[AnalysisException] {
getProvidingClass("avro")
}
- assert(error1.getMessage.contains("spark-packages"))
+ assert(error1.getMessage.contains("Failed to find data source: avro."))
val error2 = intercept[AnalysisException] {
getProvidingClass("com.databricks.spark.avro")
}
- assert(error2.getMessage.contains("spark-packages"))
+ assert(error2.getMessage.contains("Failed to find data source: com.databricks.spark.avro."))
val error3 = intercept[ClassNotFoundException] {
getProvidingClass("asfdwefasdfasdf")
}
- assert(error3.getMessage.contains("spark-packages"))
+ assert(error3.getMessage.contains("Failed to find data source: asfdwefasdfasdf."))
}
}
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-09 10:51:23 +0000