https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30306#M21953 <P></P> <P>val conf = new SparkConf()</P> <P>...</P> <P>conf.set("spark.kryoserializer.buffer.max.mb", "512")</P> <P>...</P> <P></P> Thu, 03 Aug 2017 13:34:42 GMT Jose_Maria_Tala 2017-08-03T13:34:42Z https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30304#M21951 <P></P> <P>when I join two dataframes, I got the following error.</P> <P>org.apache.spark.SparkException: Kryo serialization failed: Buffer overflow. Available: 0, required: 1 Serialization trace: values (org.apache.spark.sql.catalyst.expressions.GenericRow) otherElements (org.apache.spark.util.collection.CompactBuffer). To avoid this, increase spark.kryoserializer.buffer.max value. at org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:253) at org.apache.spark.sql.execution.SparkSqlSerializer$$anonfun$serialize$1.apply(SparkSqlSerializer.scala:90) at org.apache.spark.sql.execution.SparkSqlSerializer$$anonfun$serialize$1.apply(SparkSqlSerializer.scala:89) at org.apache.spark.sql.execution.SparkSqlSerializer$.acquireRelease(SparkSqlSerializer.scala:82) at org.apache.spark.sql.execution.SparkSqlSerializer$.serialize(SparkSqlSerializer.scala:89) at org.apache.spark.sql.execution.joins.GeneralHashedRelation.writeExternal(HashedRelation.scala:65) at java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java:1458) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347) at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:44) at org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:203) at org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:102) at org.apache.spark.broadcast.TorrentBroadcast.&lt;init&gt;(TorrentBroadcast.scala:85) at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34) at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62) at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1289)</P> <P>So how to increase spark.kryoserializer.buffer.max in databricks cloud? <A href="http://spark.apache.org/docs/latest/configuration.html" target="test_blank">http://spark.apache.org/docs/latest/configuration.html</A> does not teach a way for databricks cloud.</P> <P></P> Sat, 01 Aug 2015 05:25:03 GMT https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30304#M21951 letsflykite 2015-08-01T05:25:03Z https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30305#M21952 <P></P> <P>@letsflykite If you go to Databricks Guide -&gt; Spark -&gt; Configuring Spark you'll see a guide on how to change some of the Spark configuration settings using init scripts. On the near term roadmap will also be the ability to do these through the UI in an easier fashion.</P> <P>One word of caution - it should be fairly rare to need to change these settings. Typically it means there is something in the code that is not performing as expected and leading to the error.</P> <P></P> Fri, 07 Aug 2015 17:01:46 GMT https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30305#M21952 arsalan1 2015-08-07T17:01:46Z https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30306#M21953 <P></P> <P>val conf = new SparkConf()</P> <P>...</P> <P>conf.set("spark.kryoserializer.buffer.max.mb", "512")</P> <P>...</P> <P></P> Thu, 03 Aug 2017 13:34:42 GMT https://community.databricks.com/t5/data-engineering/how-to-increase-spark-kryoserializer-buffer-max/m-p/30306#M21953 Jose_Maria_Tala 2017-08-03T13:34:42Z