We faced this similar situation with jre 8u262 try reverting back...
On Thu, Jul 23, 2020, 5:18 AM koti reddy wrote:
> Hi,
>
> Can someone help to resolve this issue?
> Thank you in advance.
>
> Error logs :
>
> java.io.EOFException: Unexpected EOF while trying to read response from server
>
Hi,
Can someone help to resolve this issue?
Thank you in advance.
Error logs :
java.io.EOFException: Unexpected EOF while trying to read response from server
at
org.apache.hadoop.hdfs.protocolPB.PBHelperClient.vintPrefixed(PBHelperClient.java:402)
at
org.apache.hadoop.hdfs.prot
Hi Mark,
On Wed, Jul 22, 2020 at 4:49 PM Mark Bidewell wrote:
>
> Sorry if this is the wrong place for this. I am trying to debug an issue
> with this library:
> https://github.com/springml/spark-sftp
>
> When I attempt to create a dataframe:
>
> spark.read.
> format("com.springml.s
You'd probably do best to ask that project, but scanning the source
code, that looks like it's how it's meant to work. It downloads to a
temp file on the driver then copies to distributed storage then
returns a DataFrame for that. I can't see how it would be implemented
directly over sftp as there
Sorry if this is the wrong place for this. I am trying to debug an issue
with this library:
https://github.com/springml/spark-sftp
When I attempt to create a dataframe:
spark.read.
format("com.springml.spark.sftp").
option("host", "...").
option("username", ".
I met a trouble in using spark structured streaming. The usercache is
continuously consumed due to the join operation without releasing. How can
I optimize the configuration and/or code to solve this problem?
Spark Cluster in AWS EMR.
1 master node, m4.xlarge, 4 core, 16GB
2 core nodes, m4.xlarg
Greetings,
Our standalone Spark 3 cluster is trying to connect to Hadoop 2.6 cluster
running Hive server 1.2
(/usr/hdp/2.6.2.0-205/hive/lib/hive-service-1.2.1000.2.6.2.0-205.jar)
import org.apache.spark.sql.functions._
import java.sql.Timestamp
val df1 = spark.createDataFrame(
Seq(
