Hi,
When trying Spark with Hive table, I got the “java.lang.UnsatisfiedLinkError:
org.xerial.snappy.SnappyNative.maxCompressedLength(I)I” error,
val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
sqlContext.sql(“select count(1) from q8_national_market_share
sqlContext.sql("select count(1) from
q8_national_market_share").collect().foreach(println)
java.lang.UnsatisfiedLinkError:
org.xerial.snappy.SnappyNative.maxCompressedLength(I)I
at org.xerial.snappy.SnappyNative.maxCompressedLength(Native Method)
at org.xerial.snappy.Snappy.maxCompressedLength(Snappy.java:316)
at
org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:79)
at
org.apache.spark.io.SnappyCompressionCodec.compressedOutputStream(CompressionCodec.scala:125)
at
org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:207)
at
org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:83)
at
org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:68)
at
org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:36)
at
org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:29)
at
org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
at org.apache.spark.SparkContext.broadcast(SparkContext.scala:809)
at
org.apache.spark.sql.hive.HadoopTableReader.<init>(TableReader.scala:68)
at
org.apache.spark.sql.hive.execution.HiveTableScan.<init>(HiveTableScan.scala:68)
at
org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
at
org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
at
org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364)
at
org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
at
org.apache.spark.sql.execution.SparkStrategies$HashAggregation$.apply(SparkStrategies.scala:146)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at
org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402)
at
org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406)
at
org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406)
at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:438)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
at $iwC$$iwC$$iwC.<init>(<console>:20)
at $iwC$$iwC.<init>(<console>:22)
at $iwC.<init>(<console>:24)
at <init>(<console>:26)
at .<init>(<console>:30)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789)
at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062)
at
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610)
at
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:814)
at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:859)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:771)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:616)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:624)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:629)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:954)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:902)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:902)
at
scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:997)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
I have already set the following in$PARK_HOME/conf/hive-site.xml
<property>
<name>hive.exec.compress.output</name>
<value>true</value>
</property>
<property>
<name>mapred.output.compression.codec</name>
<value>org.apache.hadoop.io.compress.SnappyCodec</value>
</property>
<property>
<name>mapred.output.compression.type</name>
<value>BLOCK</value>
</property>
My questions:
Q1) Does it mean that I need to copy snappy files to Spark or Hive?
Q2) or Do I need to recompile Spark (maven) with extra parameter like
"-Drequire.snappy=true-Pnative”?
or how to fix this?
Regards
Arthur
