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new 23080acba7c7 [SPARK-45155][CONNECT] Add API Docs for Spark Connect
JVM/Scala Client
23080acba7c7 is described below
commit 23080acba7c72d26e7e10c2200aa0f30f7fe7429
Author: Paddy Xu <[email protected]>
AuthorDate: Tue Jul 16 09:05:31 2024 +0900
[SPARK-45155][CONNECT] Add API Docs for Spark Connect JVM/Scala Client
This PR is based on https://github.com/apache/spark/pull/42911.
### What changes were proposed in this pull request?
- Enables Scala and Java Unidoc generation for the `connectClient` project.
- Generates docs and moves them to the `docs/api/connect` folder.
Some methods' documentation in the connect directory had to be modified to
remove references to avoid javadoc generation failures. **References API docs
in the main index page and the global floating header will be added in a later
PR.**
### Why are the changes needed?
Increasing scope of documentation for the Spark Connect JVM/Scala Client
project.
### Does this PR introduce _any_ user-facing change?
Nope.
### How was this patch tested?
Manual test.
### Was this patch authored or co-authored using generative AI tooling?
No.
Closes #47332 from xupefei/connnect-doc-web.
Authored-by: Paddy Xu <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
---
.../org/apache/spark/sql/DataFrameWriter.scala | 8 +-
.../org/apache/spark/sql/DataFrameWriterV2.scala | 30 ++-----
.../apache/spark/sql/KeyValueGroupedDataset.scala | 8 --
.../scala/org/apache/spark/sql/SparkSession.scala | 11 ++-
.../apache/spark/sql/test/RemoteSparkSession.scala | 12 +--
docs/_plugins/build_api_docs.rb | 94 +++++++++++-----------
docs/index.md | 1 +
project/SparkBuild.scala | 67 ++++++++++++---
8 files changed, 120 insertions(+), 111 deletions(-)
diff --git
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
index 563a9865e73f..b499c2a5d909 100644
---
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
+++
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
@@ -478,13 +478,7 @@ final class DataFrameWriter[T] private[sql] (ds:
Dataset[T]) {
* }}}
*
* Note that writing a XML file from `DataFrame` having a field `ArrayType`
with its element as
- * `ArrayType` would have an additional nested field for the element. For
example, the
- * `DataFrame` having a field below,
- *
- * {@code fieldA [[data1], [data2]]}
- *
- * would produce a XML file below. { @code <fieldA> <item>data1</item>
</fieldA> <fieldA>
- * <item>data2</item> </fieldA>}
+ * `ArrayType` would have an additional nested field for the element.
*
* Namely, roundtrip in writing and reading can end up in different schema
structure.
*
diff --git
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
index 7107895c0ad2..c419c9079f02 100644
---
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
+++
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala
@@ -92,12 +92,8 @@ final class DataFrameWriterV2[T] private[sql] (table:
String, ds: Dataset[T])
/**
* Append the contents of the data frame to the output table.
*
- * If the output table does not exist, this operation will fail with
- * [[org.apache.spark.sql.catalyst.analysis.NoSuchTableException]]. The data
frame will be
+ * If the output table does not exist, this operation will fail. The data
frame will be
* validated to ensure it is compatible with the existing table.
- *
- * @throws org.apache.spark.sql.catalyst.analysis.NoSuchTableException
- * If the table does not exist
*/
def append(): Unit = {
executeWriteOperation(proto.WriteOperationV2.Mode.MODE_APPEND)
@@ -107,12 +103,8 @@ final class DataFrameWriterV2[T] private[sql] (table:
String, ds: Dataset[T])
* Overwrite rows matching the given filter condition with the contents of
the data frame in the
* output table.
*
- * If the output table does not exist, this operation will fail with
- * [[org.apache.spark.sql.catalyst.analysis.NoSuchTableException]]. The data
frame will be
+ * If the output table does not exist, this operation will fail. The data
frame will be
* validated to ensure it is compatible with the existing table.
- *
- * @throws org.apache.spark.sql.catalyst.analysis.NoSuchTableException
- * If the table does not exist
*/
def overwrite(condition: Column): Unit = {
overwriteCondition = Some(condition.expr)
@@ -126,12 +118,8 @@ final class DataFrameWriterV2[T] private[sql] (table:
String, ds: Dataset[T])
* This operation is equivalent to Hive's `INSERT OVERWRITE ... PARTITION`,
which replaces
* partitions dynamically depending on the contents of the data frame.
*
- * If the output table does not exist, this operation will fail with
- * [[org.apache.spark.sql.catalyst.analysis.NoSuchTableException]]. The data
frame will be
+ * If the output table does not exist, this operation will fail. The data
frame will be
* validated to ensure it is compatible with the existing table.
- *
- * @throws org.apache.spark.sql.catalyst.analysis.NoSuchTableException
- * If the table does not exist
*/
def overwritePartitions(): Unit = {
executeWriteOperation(proto.WriteOperationV2.Mode.MODE_OVERWRITE_PARTITIONS)
@@ -225,11 +213,7 @@ trait CreateTableWriter[T] extends
WriteConfigMethods[CreateTableWriter[T]] {
* The new table's schema, partition layout, properties, and other
configuration will be based
* on the configuration set on this writer.
*
- * If the output table exists, this operation will fail with
- * [[org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException]].
- *
- * @throws org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException
- * If the table already exists
+ * If the output table exists, this operation will fail.
*/
def create(): Unit
@@ -239,11 +223,7 @@ trait CreateTableWriter[T] extends
WriteConfigMethods[CreateTableWriter[T]] {
* The existing table's schema, partition layout, properties, and other
configuration will be
* replaced with the contents of the data frame and the configuration set on
this writer.
*
- * If the output table does not exist, this operation will fail with
- *
[[org.apache.spark.sql.catalyst.analysis.CannotReplaceMissingTableException]].
- *
- * @throws
org.apache.spark.sql.catalyst.analysis.CannotReplaceMissingTableException
- * If the table does not exist
+ * If the output table does not exist, this operation will fail.
*/
def replace(): Unit
diff --git
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
index 953cf23afc33..d2875dfe48c8 100644
---
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
+++
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
@@ -157,8 +157,6 @@ class KeyValueGroupedDataset[K, V] private[sql] () extends
Serializable {
* sorted according to the given sort expressions. That sorting does not add
computational
* complexity.
*
- * @see
- * [[org.apache.spark.sql.KeyValueGroupedDataset#flatMapGroups]]
* @since 3.5.0
*/
def flatMapSortedGroups[U: Encoder](sortExprs: Column*)(
@@ -186,8 +184,6 @@ class KeyValueGroupedDataset[K, V] private[sql] () extends
Serializable {
* sorted according to the given sort expressions. That sorting does not add
computational
* complexity.
*
- * @see
- * [[org.apache.spark.sql.KeyValueGroupedDataset#flatMapGroups]]
* @since 3.5.0
*/
def flatMapSortedGroups[U](
@@ -429,8 +425,6 @@ class KeyValueGroupedDataset[K, V] private[sql] () extends
Serializable {
* sorted according to the given sort expressions. That sorting does not add
computational
* complexity.
*
- * @see
- * [[org.apache.spark.sql.KeyValueGroupedDataset#cogroup]]
* @since 3.5.0
*/
def cogroupSorted[U, R: Encoder](other: KeyValueGroupedDataset[K,
U])(thisSortExprs: Column*)(
@@ -450,8 +444,6 @@ class KeyValueGroupedDataset[K, V] private[sql] () extends
Serializable {
* sorted according to the given sort expressions. That sorting does not add
computational
* complexity.
*
- * @see
- * [[org.apache.spark.sql.KeyValueGroupedDataset#cogroup]]
* @since 3.5.0
*/
def cogroupSorted[U, R](
diff --git
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
index 5a6961bb8740..2e54617928aa 100644
---
a/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
+++
b/connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
@@ -459,8 +459,8 @@ class SparkSession private[sql] (
// scalastyle:off
// Disable style checker so "implicits" object can start with lowercase i
/**
- * (Scala-specific) Implicit methods available in Scala for converting
common names and
- * [[Symbol]]s into [[Column]]s, and for converting common Scala objects
into `DataFrame`s.
+ * (Scala-specific) Implicit methods available in Scala for converting
common names and Symbols
+ * into [[Column]]s, and for converting common Scala objects into
DataFrame`s.
*
* {{{
* val sparkSession = SparkSession.builder.getOrCreate()
@@ -647,8 +647,7 @@ class SparkSession private[sql] (
def addArtifacts(uri: URI*): Unit = client.addArtifacts(uri)
/**
- * Register a [[ClassFinder]] for dynamically generated classes.
- *
+ * Register a ClassFinder for dynamically generated classes.
* @since 3.5.0
*/
@Experimental
@@ -715,7 +714,7 @@ class SparkSession private[sql] (
* Release the current session and close the GRPC connection to the server.
The API will not
* error if any of these operations fail. Closing a closed session is a
no-op.
*
- * Close the allocator. Fail if there are still open [[SparkResult]]s.
+ * Close the allocator. Fail if there are still open SparkResults.
*
* @since 3.4.0
*/
@@ -899,7 +898,7 @@ object SparkSession extends Logging {
}
/**
- * Add an interceptor [[ClientInterceptor]] to be used during channel
creation.
+ * Add an interceptor to be used during channel creation.
*
* Note that interceptors added last are executed first by gRPC.
*
diff --git
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
index a7864a1badf4..95326ce7e8ce 100644
---
a/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
+++
b/connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/test/RemoteSparkSession.scala
@@ -36,14 +36,7 @@ import org.apache.spark.util.ArrayImplicits._
/**
* An util class to start a local spark connect server in a different process
for local E2E tests.
* Pre-running the tests, the spark connect artifact needs to be built using
e.g. `build/sbt
- * package`. It is designed to start the server once but shared by all tests.
It is equivalent to
- * use the following command to start the connect server via command line:
- *
- * {{{
- * bin/spark-shell \
- * --jars `ls connect/server/target/**/spark-connect*SNAPSHOT.jar | paste -sd
',' -` \
- * --conf spark.plugins=org.apache.spark.sql.connect.SparkConnectPlugin
- * }}}
+ * package`. It is designed to start the server once but shared by all tests.
*
* Set system property `spark.test.home` or env variable `SPARK_HOME` if the
test is not executed
* from the Spark project top folder. Set system property
`spark.debug.sc.jvm.client=true` or
@@ -52,6 +45,9 @@ import org.apache.spark.util.ArrayImplicits._
*/
object SparkConnectServerUtils {
+ // The equivalent command to start the connect server via command line:
+ // bin/spark-shell --conf
spark.plugins=org.apache.spark.sql.connect.SparkConnectPlugin
+
// Server port
val port: Int =
ConnectCommon.CONNECT_GRPC_BINDING_PORT + util.Random.nextInt(1000)
diff --git a/docs/_plugins/build_api_docs.rb b/docs/_plugins/build_api_docs.rb
index 8d3ef86ac3d6..c8bd9a700f6c 100644
--- a/docs/_plugins/build_api_docs.rb
+++ b/docs/_plugins/build_api_docs.rb
@@ -46,48 +46,25 @@ def build_spark_if_necessary
$spark_package_is_built = true
end
-def build_scala_and_java_docs
- build_spark_if_necessary
-
- print_header "Building Scala and Java API docs."
- cd(SPARK_PROJECT_ROOT)
-
- command = "build/sbt -Pkinesis-asl unidoc"
- puts "Running '#{command}'..."
- system(command) || raise("Unidoc generation failed")
-
- puts "Moving back into docs dir."
- cd("docs")
-
- puts "Removing old docs"
- system("rm -rf api")
-
- # Copy over the unified ScalaDoc for all projects to api/scala.
- # This directory will be copied over to _site when `jekyll` command is run.
- source = "../target/scala-2.13/unidoc"
- dest = "api/scala"
-
- puts "Making directory " + dest
- mkdir_p dest
-
- # From the rubydoc: cp_r('src', 'dest') makes src/dest, but this doesn't.
- puts "cp -r " + source + "/. " + dest
- cp_r(source + "/.", dest)
-
- # Append custom JavaScript
- js = File.readlines("./js/api-docs.js")
- js_file = dest + "/lib/template.js"
- File.open(js_file, 'a') { |f| f.write("\n" + js.join()) }
-
- # Append custom CSS
- css = File.readlines("./css/api-docs.css")
- css_file = dest + "/lib/template.css"
- File.open(css_file, 'a') { |f| f.write("\n" + css.join()) }
-
- # Copy over the unified JavaDoc for all projects to api/java.
- source = "../target/javaunidoc"
- dest = "api/java"
+def copy_and_update_scala_docs(source, dest)
+ puts "Making directory " + dest
+ mkdir_p dest
+
+ puts "cp -r " + source + "/. " + dest
+ cp_r(source + "/.", dest)
+
+ # Append custom JavaScript
+ js = File.readlines("./js/api-docs.js")
+ js_file = dest + "/lib/template.js"
+ File.open(js_file, 'a') { |f| f.write("\n" + js.join()) }
+
+ # Append custom CSS
+ css = File.readlines("./css/api-docs.css")
+ css_file = dest + "/lib/template.css"
+ File.open(css_file, 'a') { |f| f.write("\n" + css.join()) }
+end
+def copy_and_update_java_docs(source, dest, scala_source)
puts "Making directory " + dest
mkdir_p dest
@@ -123,14 +100,14 @@ def build_scala_and_java_docs
# End updating JavaDoc files for badge post-processing
puts "Copying jquery.min.js from Scala API to Java API for page
post-processing of badges"
- jquery_src_file = "./api/scala/lib/jquery.min.js"
- jquery_dest_file = "./api/java/lib/jquery.min.js"
- mkdir_p("./api/java/lib")
+ jquery_src_file = scala_source + "/lib/jquery.min.js"
+ jquery_dest_file = dest + "/lib/jquery.min.js"
+ mkdir_p(dest + "/lib")
cp(jquery_src_file, jquery_dest_file)
puts "Copying api_javadocs.js to Java API for page post-processing of badges"
api_javadocs_src_file = "./js/api-javadocs.js"
- api_javadocs_dest_file = "./api/java/lib/api-javadocs.js"
+ api_javadocs_dest_file = dest + "/lib/api-javadocs.js"
cp(api_javadocs_src_file, api_javadocs_dest_file)
puts "Appending content of api-javadocs.css to JavaDoc stylesheet.css for
badge styles"
@@ -139,6 +116,33 @@ def build_scala_and_java_docs
File.open(css_file, 'a') { |f| f.write("\n" + css.join()) }
end
+
+def build_scala_and_java_docs
+ build_spark_if_necessary
+
+ print_header "Building Scala and Java API docs."
+ cd(SPARK_PROJECT_ROOT)
+
+ command = "build/sbt -Pkinesis-asl unidoc"
+ puts "Running '#{command}'..."
+ system(command) || raise("Unidoc generation failed")
+
+ puts "Moving back into docs dir."
+ cd("docs")
+
+ puts "Removing old docs"
+ system("rm -rf api")
+
+ # Copy over the unified ScalaDoc for all projects to api/scala.
+ # This directory will be copied over to _site when `jekyll` command is run.
+ copy_and_update_scala_docs("../target/scala-2.13/unidoc", "api/scala")
+
copy_and_update_scala_docs("../connector/connect/client/jvm/target/scala-2.13/unidoc",
"api/connect/scala")
+
+ # Copy over the unified JavaDoc for all projects to api/java.
+ copy_and_update_java_docs("../target/javaunidoc", "api/java", "api/scala")
+
copy_and_update_java_docs("../connector/connect/client/jvm/target/javaunidoc",
"api/connect/java", "api/connect/scala")
+end
+
def build_python_docs
build_spark_if_necessary
diff --git a/docs/index.md b/docs/index.md
index 57f701316bd0..ddce4f65ba5c 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -118,6 +118,7 @@ options for deployment:
* [Spark Python API (Sphinx)](api/python/index.html)
* [Spark Scala API (Scaladoc)](api/scala/org/apache/spark/index.html)
+* [Spark Connect Scala Client API
(Scaladoc)](api/connect/scala/org/apache/spark/index.html)
* [Spark Java API (Javadoc)](api/java/index.html)
* [Spark R API (Roxygen2)](api/R/index.html)
* [Spark SQL, Built-in Functions (MkDocs)](api/sql/index.html)
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index 2ff2ebd869fc..4b6c0c6e9a17 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -397,7 +397,10 @@ object SparkBuild extends PomBuild {
enable(PySparkAssembly.settings)(assembly)
/* Enable unidoc only for the root spark project */
- enable(Unidoc.settings)(spark)
+ enable(SparkUnidoc.settings)(spark)
+
+ /* Enable unidoc only for the root spark connect client project */
+ enable(SparkConnectClientUnidoc.settings)(connectClient)
/* Sql-api ANTLR generation settings */
enable(SqlApi.settings)(sqlApi)
@@ -1326,7 +1329,7 @@ object Volcano {
)
}
-object Unidoc {
+trait SharedUnidocSettings {
import BuildCommons._
import sbtunidoc.BaseUnidocPlugin
@@ -1337,7 +1340,7 @@ object Unidoc {
import sbtunidoc.JavaUnidocPlugin.autoImport._
import sbtunidoc.ScalaUnidocPlugin.autoImport._
- private def ignoreUndocumentedPackages(packages: Seq[Seq[File]]):
Seq[Seq[File]] = {
+ protected def ignoreUndocumentedPackages(packages: Seq[Seq[File]]):
Seq[Seq[File]] = {
packages
.map(_.filterNot(_.getName.contains("$")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/deploy")))
@@ -1362,7 +1365,6 @@ object Unidoc {
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/catalyst")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/connect/")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/execution")))
-
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/internal")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/hive")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/catalog/v2/utils")))
.map(_.filterNot(_.getCanonicalPath.contains("org.apache.spark.errors")))
@@ -1381,19 +1383,12 @@ object Unidoc {
val unidocSourceBase = settingKey[String]("Base URL of source links in
Scaladoc.")
- lazy val settings = BaseUnidocPlugin.projectSettings ++
+ lazy val baseSettings = BaseUnidocPlugin.projectSettings ++
ScalaUnidocPlugin.projectSettings ++
JavaUnidocPlugin.projectSettings ++
Seq (
publish := {},
- (ScalaUnidoc / unidoc / unidocProjectFilter) :=
- inAnyProject -- inProjects(OldDeps.project, repl, examples, tools,
kubernetes,
- yarn, tags, streamingKafka010, sqlKafka010, connectCommon, connect,
connectClient, protobuf),
- (JavaUnidoc / unidoc / unidocProjectFilter) :=
- inAnyProject -- inProjects(OldDeps.project, repl, examples, tools,
kubernetes,
- yarn, tags, streamingKafka010, sqlKafka010, connectCommon, connect,
connectClient, protobuf),
-
(ScalaUnidoc / unidoc / unidocAllClasspaths) := {
ignoreClasspaths((ScalaUnidoc / unidoc / unidocAllClasspaths).value)
},
@@ -1448,6 +1443,54 @@ object Unidoc {
)
}
+object SparkUnidoc extends SharedUnidocSettings {
+
+ import BuildCommons._
+ import sbtunidoc.BaseUnidocPlugin
+ import sbtunidoc.JavaUnidocPlugin
+ import sbtunidoc.ScalaUnidocPlugin
+ import sbtunidoc.BaseUnidocPlugin.autoImport._
+ import sbtunidoc.GenJavadocPlugin.autoImport._
+ import sbtunidoc.JavaUnidocPlugin.autoImport._
+ import sbtunidoc.ScalaUnidocPlugin.autoImport._
+
+ override def ignoreUndocumentedPackages(packages: Seq[Seq[File]]):
Seq[Seq[File]] = {
+ super.ignoreUndocumentedPackages(packages)
+
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/internal")))
+ }
+
+ lazy val settings = baseSettings ++ Seq(
+ (ScalaUnidoc / unidoc / unidocProjectFilter) :=
+ inAnyProject -- inProjects(OldDeps.project, repl, examples, tools,
kubernetes,
+ yarn, tags, streamingKafka010, sqlKafka010, connectCommon, connect,
connectClient, protobuf),
+ (JavaUnidoc / unidoc / unidocProjectFilter) :=
+ inAnyProject -- inProjects(OldDeps.project, repl, examples, tools,
kubernetes,
+ yarn, tags, streamingKafka010, sqlKafka010, connectCommon, connect,
connectClient, protobuf),
+ )
+}
+
+object SparkConnectClientUnidoc extends SharedUnidocSettings {
+
+ import BuildCommons._
+ import sbtunidoc.BaseUnidocPlugin
+ import sbtunidoc.JavaUnidocPlugin
+ import sbtunidoc.ScalaUnidocPlugin
+ import sbtunidoc.BaseUnidocPlugin.autoImport._
+ import sbtunidoc.GenJavadocPlugin.autoImport._
+ import sbtunidoc.JavaUnidocPlugin.autoImport._
+ import sbtunidoc.ScalaUnidocPlugin.autoImport._
+
+ override def ignoreUndocumentedPackages(packages: Seq[Seq[File]]):
Seq[Seq[File]] = {
+ super.ignoreUndocumentedPackages(packages)
+
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/application")))
+ }
+
+ lazy val settings = baseSettings ++ Seq(
+ (ScalaUnidoc / unidoc / unidocProjectFilter) := inProjects(connectClient,
connectCommon),
+ (JavaUnidoc / unidoc / unidocProjectFilter) := inProjects(connectClient,
connectCommon),
+ )
+}
+
object Checkstyle {
lazy val settings = Seq(
checkstyleSeverityLevel := CheckstyleSeverityLevel.Error,
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