[jira] [Updated] (SPARK-18055) Dataset.flatMap can't work with types from customized jar
[ https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Armbrust updated SPARK-18055: - Target Version/s: 2.2.0 > Dataset.flatMap can't work with types from customized jar > - > > Key: SPARK-18055 > URL: https://issues.apache.org/jira/browse/SPARK-18055 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.1 >Reporter: Davies Liu >Assignee: Michael Armbrust > Attachments: test-jar_2.11-1.0.jar > > > Try to apply flatMap() on Dataset column which of of type > com.A.B > Here's a schema of a dataset: > {code} > root > |-- id: string (nullable = true) > |-- outputs: array (nullable = true) > ||-- element: string > {code} > flatMap works on RDD > {code} > ds.rdd.flatMap(_.outputs) > {code} > flatMap doesnt work on dataset and gives the following error > {code} > ds.flatMap(_.outputs) > {code} > The exception: > {code} > scala.ScalaReflectionException: class com.A.B in JavaMirror … not found > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) > at > line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) > at > org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125) > {code} > Spoke to Michael Armbrust and he confirmed it as a Dataset bug. > There is a workaround using explode() > {code} > ds.select(explode(col("outputs"))) > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-18055) Dataset.flatMap can't work with types from customized jar
[ https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-18055: Attachment: test-jar_2.11-1.0.jar This jar is built with file MyData.scala {code} case class MyData(array: Seq[MyData2]) case class MyData2(i: Int) {code} > Dataset.flatMap can't work with types from customized jar > - > > Key: SPARK-18055 > URL: https://issues.apache.org/jira/browse/SPARK-18055 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.1 >Reporter: Davies Liu > Attachments: test-jar_2.11-1.0.jar > > > Try to apply flatMap() on Dataset column which of of type > com.A.B > Here's a schema of a dataset: > {code} > root > |-- id: string (nullable = true) > |-- outputs: array (nullable = true) > ||-- element: string > {code} > flatMap works on RDD > {code} > ds.rdd.flatMap(_.outputs) > {code} > flatMap doesnt work on dataset and gives the following error > {code} > ds.flatMap(_.outputs) > {code} > The exception: > {code} > scala.ScalaReflectionException: class com.A.B in JavaMirror … not found > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) > at > line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) > at > org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125) > {code} > Spoke to Michael Armbrust and he confirmed it as a Dataset bug. > There is a workaround using explode() > {code} > ds.select(explode(col("outputs"))) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-18055) Dataset.flatMap can't work with types from customized jar
[ https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Davies Liu updated SPARK-18055: --- Description: Try to apply flatMap() on Dataset column which of of type com.A.B Here's a schema of a dataset: {code} root |-- id: string (nullable = true) |-- outputs: array (nullable = true) ||-- element: string {code} flatMap works on RDD {code} ds.rdd.flatMap(_.outputs) {code} flatMap doesnt work on dataset and gives the following error {code} ds.flatMap(_.outputs) {code} The exception: {code} scala.ScalaReflectionException: class com.relateiq.company.CompanySourceOutputMessage in JavaMirror … not found at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) at line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) at org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125) {code} Spoke to Michael Armbrust and he confirmed it as a Dataset bug. There is a workaround using explode() {code} ds.select(explode(col("outputs"))) {code} was: Try to apply flatMap() on Dataset column which of of type com.A.B Here's a schema of a dataset: root |-- id: string (nullable = true) |-- outputs: array (nullable = true) ||-- element: string flatMap works on RDD {code} ds.rdd.flatMap(_.outputs) {code} flatMap doesnt work on dataset and gives the following error {code} ds.flatMap(_.outputs) {code} The exception: {code} scala.ScalaReflectionException: class com.relateiq.company.CompanySourceOutputMessage in JavaMirror … not found at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) at line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) at org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125) {code} Spoke to Michael Armbrust and he confirmed it as a Dataset bug. There is a workaround using explode() {code} ds.select(explode(col("outputs"))) {code} > Dataset.flatMap can't work with types from customized jar > - > > Key: SPARK-18055 > URL: https://issues.apache.org/jira/browse/SPARK-18055 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.1 >Reporter: Davies Liu > > Try to apply flatMap() on Dataset column which of of type > com.A.B > Here's a schema of a dataset: > {code} > root > |-- id: string (nullable = true) > |-- outputs: array (nullable = true) > ||-- element: string > {code} > flatMap works on RDD > {code} > ds.rdd.flatMap(_.outputs) > {code} > flatMap doesnt work on dataset and gives the following error > {code} > ds.flatMap(_.outputs) > {code} > The exception: > {code} > scala.ScalaReflectionException: class > com.relateiq.company.CompanySourceOutputMessage in JavaMirror … not found > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) > at > line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.catalyst.e
[jira] [Updated] (SPARK-18055) Dataset.flatMap can't work with types from customized jar
[ https://issues.apache.org/jira/browse/SPARK-18055?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Davies Liu updated SPARK-18055: --- Description: Try to apply flatMap() on Dataset column which of of type com.A.B Here's a schema of a dataset: {code} root |-- id: string (nullable = true) |-- outputs: array (nullable = true) ||-- element: string {code} flatMap works on RDD {code} ds.rdd.flatMap(_.outputs) {code} flatMap doesnt work on dataset and gives the following error {code} ds.flatMap(_.outputs) {code} The exception: {code} scala.ScalaReflectionException: class com.A.B in JavaMirror … not found at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) at line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) at org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125) {code} Spoke to Michael Armbrust and he confirmed it as a Dataset bug. There is a workaround using explode() {code} ds.select(explode(col("outputs"))) {code} was: Try to apply flatMap() on Dataset column which of of type com.A.B Here's a schema of a dataset: {code} root |-- id: string (nullable = true) |-- outputs: array (nullable = true) ||-- element: string {code} flatMap works on RDD {code} ds.rdd.flatMap(_.outputs) {code} flatMap doesnt work on dataset and gives the following error {code} ds.flatMap(_.outputs) {code} The exception: {code} scala.ScalaReflectionException: class com.relateiq.company.CompanySourceOutputMessage in JavaMirror … not found at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) at line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) at org.apache.spark.sql.SQLImplicits.newProductSeqEncoder(SQLImplicits.scala:125) {code} Spoke to Michael Armbrust and he confirmed it as a Dataset bug. There is a workaround using explode() {code} ds.select(explode(col("outputs"))) {code} > Dataset.flatMap can't work with types from customized jar > - > > Key: SPARK-18055 > URL: https://issues.apache.org/jira/browse/SPARK-18055 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.1 >Reporter: Davies Liu > > Try to apply flatMap() on Dataset column which of of type > com.A.B > Here's a schema of a dataset: > {code} > root > |-- id: string (nullable = true) > |-- outputs: array (nullable = true) > ||-- element: string > {code} > flatMap works on RDD > {code} > ds.rdd.flatMap(_.outputs) > {code} > flatMap doesnt work on dataset and gives the following error > {code} > ds.flatMap(_.outputs) > {code} > The exception: > {code} > scala.ScalaReflectionException: class com.A.B in JavaMirror … not found > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:123) > at scala.reflect.internal.Mirrors$RootsBase.staticClass(Mirrors.scala:22) > at > line189424fbb8cd47b3b62dc41e417841c159.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$typecreator3$1.apply(:51) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.SQLImplicits$$typecreator9$1.apply(SQLImplicits.scala:125) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:232) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:232) > at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:49) > at