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Posted to reviews@spark.apache.org by yinxusen <gi...@git.apache.org> on 2015/04/10 11:01:16 UTC
[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
GitHub user yinxusen opened a pull request:
https://github.com/apache/spark/pull/5450
[SPARK-5988][MLlib] add save/load for PowerIterationClusteringModel
See JIRA issue [SPARK-5988](https://issues.apache.org/jira/browse/SPARK-5988).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yinxusen/spark SPARK-5988
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5450.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 #5450
----
commit 63c3923d9a96ff267b9322615ac6f8ce40051a06
Author: Xusen Yin <yi...@gmail.com>
Date: 2015-04-10T08:13:34Z
add save load for power iteration clustering
commit b1dd24cdbd731f180e2713544be7b0f0f92679e6
Author: Xusen Yin <yi...@gmail.com>
Date: 2015-04-10T08:56:02Z
add test suite
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-92320638
[Test build #30156 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/30156/consoleFull) for PR 5450 at commit [`cb1ecfa`](https://github.com/apache/spark/commit/cb1ecfaec7523cf36b1466e27db6c3fc9e0fd873).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* ` case class Assignment(id: Long, cluster: Int)`
* This patch does not change any dependencies.
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5450#discussion_r28216448
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala ---
@@ -38,7 +43,63 @@ import org.apache.spark.util.random.XORShiftRandom
@Experimental
class PowerIterationClusteringModel(
val k: Int,
- val assignments: RDD[PowerIterationClustering.Assignment]) extends Serializable
+ val assignments: RDD[PowerIterationClustering.Assignment]) extends Saveable with Serializable {
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ PowerIterationClusteringModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] {
+ override def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ PowerIterationClusteringModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ private[clustering]
+ object SaveLoadV1_0 {
+
+ private val thisFormatVersion = "1.0"
+
+ private[clustering]
+ val thisClassName = "org.apache.spark.mllib.clustering.PowerIterationClusteringModel"
+
+ def save(sc: SparkContext, model: PowerIterationClusteringModel, path: String): Unit = {
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val metadata = compact(render(
+ ("class" -> thisClassName) ~ ("version" -> thisFormatVersion) ~ ("k" -> model.k)))
+ sc.parallelize(Seq(metadata), 1).saveAsTextFile(Loader.metadataPath(path))
+
+ val dataRDD = model.assignments.map(x => (x.id, x.cluster)).toDF()
--- End diff --
`assignment.toDF()` should be sufficient and correct. Otherwise, the output column names would be "_1" and "_2".
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-91485201
[Test build #30022 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/30022/consoleFull) for PR 5450 at commit [`b1dd24c`](https://github.com/apache/spark/commit/b1dd24cdbd731f180e2713544be7b0f0f92679e6).
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by yinxusen <gi...@git.apache.org>.
Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5450#discussion_r28227026
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala ---
@@ -38,7 +43,63 @@ import org.apache.spark.util.random.XORShiftRandom
@Experimental
class PowerIterationClusteringModel(
val k: Int,
- val assignments: RDD[PowerIterationClustering.Assignment]) extends Serializable
+ val assignments: RDD[PowerIterationClustering.Assignment]) extends Saveable with Serializable {
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ PowerIterationClusteringModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] {
+ override def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ PowerIterationClusteringModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ private[clustering]
+ object SaveLoadV1_0 {
+
+ private val thisFormatVersion = "1.0"
+
+ private[clustering]
+ val thisClassName = "org.apache.spark.mllib.clustering.PowerIterationClusteringModel"
+
+ def save(sc: SparkContext, model: PowerIterationClusteringModel, path: String): Unit = {
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val metadata = compact(render(
+ ("class" -> thisClassName) ~ ("version" -> thisFormatVersion) ~ ("k" -> model.k)))
+ sc.parallelize(Seq(metadata), 1).saveAsTextFile(Loader.metadataPath(path))
+
+ val dataRDD = model.assignments.map(x => (x.id, x.cluster)).toDF()
--- End diff --
It seems that changing `Assignment` into a case class has nothing wrong, so I change it. Otherwise I will write more code to check the schema, for the `Loader.checkSchema[]()`is not worked for an ordinary class.
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-91509149
[Test build #30022 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/30022/consoleFull) for PR 5450 at commit [`b1dd24c`](https://github.com/apache/spark/commit/b1dd24cdbd731f180e2713544be7b0f0f92679e6).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds no public classes.
* This patch does not change any dependencies.
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-92298524
[Test build #30156 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/30156/consoleFull) for PR 5450 at commit [`cb1ecfa`](https://github.com/apache/spark/commit/cb1ecfaec7523cf36b1466e27db6c3fc9e0fd873).
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by yinxusen <gi...@git.apache.org>.
Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5450#discussion_r28217008
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala ---
@@ -38,7 +43,63 @@ import org.apache.spark.util.random.XORShiftRandom
@Experimental
class PowerIterationClusteringModel(
val k: Int,
- val assignments: RDD[PowerIterationClustering.Assignment]) extends Serializable
+ val assignments: RDD[PowerIterationClustering.Assignment]) extends Saveable with Serializable {
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ PowerIterationClusteringModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] {
+ override def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ PowerIterationClusteringModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ private[clustering]
+ object SaveLoadV1_0 {
+
+ private val thisFormatVersion = "1.0"
+
+ private[clustering]
+ val thisClassName = "org.apache.spark.mllib.clustering.PowerIterationClusteringModel"
+
+ def save(sc: SparkContext, model: PowerIterationClusteringModel, path: String): Unit = {
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val metadata = compact(render(
+ ("class" -> thisClassName) ~ ("version" -> thisFormatVersion) ~ ("k" -> model.k)))
+ sc.parallelize(Seq(metadata), 1).saveAsTextFile(Loader.metadataPath(path))
+
+ val dataRDD = model.assignments.map(x => (x.id, x.cluster)).toDF()
--- End diff --
`assignment` is not a case class, so we cannot call `toDF()` directly. Shall I change `Assignment` into a case class?
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5450#discussion_r28216481
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala ---
@@ -38,7 +43,63 @@ import org.apache.spark.util.random.XORShiftRandom
@Experimental
class PowerIterationClusteringModel(
val k: Int,
- val assignments: RDD[PowerIterationClustering.Assignment]) extends Serializable
+ val assignments: RDD[PowerIterationClustering.Assignment]) extends Saveable with Serializable {
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ PowerIterationClusteringModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] {
+ override def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ PowerIterationClusteringModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ private[clustering]
+ object SaveLoadV1_0 {
+
+ private val thisFormatVersion = "1.0"
+
+ private[clustering]
+ val thisClassName = "org.apache.spark.mllib.clustering.PowerIterationClusteringModel"
+
+ def save(sc: SparkContext, model: PowerIterationClusteringModel, path: String): Unit = {
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val metadata = compact(render(
+ ("class" -> thisClassName) ~ ("version" -> thisFormatVersion) ~ ("k" -> model.k)))
+ sc.parallelize(Seq(metadata), 1).saveAsTextFile(Loader.metadataPath(path))
+
+ val dataRDD = model.assignments.map(x => (x.id, x.cluster)).toDF()
+ dataRDD.saveAsParquetFile(Loader.dataPath(path))
+ }
+
+ def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ implicit val formats = DefaultFormats
+ val sqlContext = new SQLContext(sc)
+
+ val (className, formatVersion, metadata) = Loader.loadMetadata(sc, path)
+ assert(className == thisClassName)
+ assert(formatVersion == thisFormatVersion)
+
+ val k = (metadata \ "k").extract[Int]
+ val assignments = sqlContext.parquetFile(Loader.dataPath(path))
+ Loader.checkSchema[(Long, Int)](assignments.schema)
+
+ val assignmentsRDD = assignments.map {
+ case Row(id: Long, cluster: Int) => new PowerIterationClustering.Assignment(id, cluster)
+ }
+
+ val realK = assignmentsRDD.map(_.cluster).distinct().collect().size
--- End diff --
This is expensive. Maybe we can ignore this check (or put it in the tests).
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-91509172
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/30022/
Test PASSed.
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5450#discussion_r28267250
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala ---
@@ -38,7 +43,63 @@ import org.apache.spark.util.random.XORShiftRandom
@Experimental
class PowerIterationClusteringModel(
val k: Int,
- val assignments: RDD[PowerIterationClustering.Assignment]) extends Serializable
+ val assignments: RDD[PowerIterationClustering.Assignment]) extends Saveable with Serializable {
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ PowerIterationClusteringModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] {
+ override def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ PowerIterationClusteringModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ private[clustering]
+ object SaveLoadV1_0 {
+
+ private val thisFormatVersion = "1.0"
+
+ private[clustering]
+ val thisClassName = "org.apache.spark.mllib.clustering.PowerIterationClusteringModel"
+
+ def save(sc: SparkContext, model: PowerIterationClusteringModel, path: String): Unit = {
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val metadata = compact(render(
+ ("class" -> thisClassName) ~ ("version" -> thisFormatVersion) ~ ("k" -> model.k)))
+ sc.parallelize(Seq(metadata), 1).saveAsTextFile(Loader.metadataPath(path))
+
+ val dataRDD = model.assignments.map(x => (x.id, x.cluster)).toDF()
--- End diff --
That's okay. In general, the issue with case classes is that they are hard to extend. For example, changing `case class Assignment(id: Long, cluster: Int)` to `case class Assignment(id: Long, cluster: Int, confidence: Double)` breaks binary compatibility.
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-92320667
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5450#issuecomment-92459332
LGTM. Merged into master. Thanks!
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/5450
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[GitHub] spark pull request: [SPARK-5988][MLlib] add save/load for PowerIte...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5450#discussion_r28219216
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala ---
@@ -38,7 +43,63 @@ import org.apache.spark.util.random.XORShiftRandom
@Experimental
class PowerIterationClusteringModel(
val k: Int,
- val assignments: RDD[PowerIterationClustering.Assignment]) extends Serializable
+ val assignments: RDD[PowerIterationClustering.Assignment]) extends Saveable with Serializable {
+
+ override def save(sc: SparkContext, path: String): Unit = {
+ PowerIterationClusteringModel.SaveLoadV1_0.save(sc, this, path)
+ }
+
+ override protected def formatVersion: String = "1.0"
+}
+
+object PowerIterationClusteringModel extends Loader[PowerIterationClusteringModel] {
+ override def load(sc: SparkContext, path: String): PowerIterationClusteringModel = {
+ PowerIterationClusteringModel.SaveLoadV1_0.load(sc, path)
+ }
+
+ private[clustering]
+ object SaveLoadV1_0 {
+
+ private val thisFormatVersion = "1.0"
+
+ private[clustering]
+ val thisClassName = "org.apache.spark.mllib.clustering.PowerIterationClusteringModel"
+
+ def save(sc: SparkContext, model: PowerIterationClusteringModel, path: String): Unit = {
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val metadata = compact(render(
+ ("class" -> thisClassName) ~ ("version" -> thisFormatVersion) ~ ("k" -> model.k)))
+ sc.parallelize(Seq(metadata), 1).saveAsTextFile(Loader.metadataPath(path))
+
+ val dataRDD = model.assignments.map(x => (x.id, x.cluster)).toDF()
--- End diff --
Then call `toDF("id", "cluster")`.
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