The spark streaming job running for a few days,then fail as below
What is the possible reason?
*18/03/25 07:58:37 ERROR yarn.ApplicationMaster: User class threw
exception: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 16 in stage 80018.0 failed 4 times, most recent
We have built an an ml platform, based on open source framework like
hadoop, spark, tensorflow. Now we need to give our product a wonderful
name, and eager for everyone's advice.
Any answers will be greatly appreciated.
Thanks.
val schema = StructType(
Seq(
StructField("app", StringType, nullable = true),
StructField("server", StringType, nullable = true),
StructField("file", StringType, nullable = true),
StructField("...", StringType, nullable = true)
)
)
val row =
I have build the spark-assembly-1.6.0-hadoop2.5.1.jar
cat spark-assembly-1.6.0-hadoop2.5.1.jar/META-INF/services/org.
apache.hadoop.fs.FileSystem
...
org.apache.hadoop.hdfs.DistributedFileSystem
org.apache.hadoop.hdfs.web.HftpFileSystem
org.apache.hadoop.hdfs.web.HsftpFileSystem
in the Spark 2.x. Can you try it on Spark 2.0?
>
> Yong
>
> --
> *From:* Jone Zhang <joyoungzh...@gmail.com>
> *Sent:* Wednesday, May 10, 2017 7:10 AM
> *To:* user @spark/'user @spark'/spark users/user@spark
> *Subject:* Why spark.sql.autoBroadcastJ
For example
Data1(has 1 billion records)
user_id1 feature1
user_id1 feature2
Data2(has 1 billion records)
user_id1 feature3
Data3(has 1 billion records)
user_id1 feature4
user_id1 feature5
...
user_id1 feature100
I want to get the result as follow
user_id1 feature1 feature2 feature3
Now i use spark1.6.0 in java
I wish the following sql to be executed in BroadcastJoin way
*select * from sample join feature*
This is my step
1.set spark.sql.autoBroadcastJoinThreshold=100M
2.HiveContext.sql("cache lazy table feature as "select * from src where
...) which result size is only 100K
*When i use sparksql, the error as follows*
17/05/05 15:58:44 WARN scheduler.TaskSetManager: Lost task 0.0 in
stage 20.0 (TID 4080, 10.196.143.233):
java.util.ServiceConfigurationError: org.apache.hadoop.fs.FileSystem:
Provider tachyon.hadoop.TFS could not be instantiated
at
var textFile = sc.textFile("xxx");
textFile.first();
res1: String = 1.0 100733314 18_?:100733314
8919173c6d49abfab02853458247e5841:129:18_?:1.0
hadoop fs -cat xxx
1.0100733314 18_百度输入法:100733314 8919173c6d49abfab02853458247e584
1:129:18_百度输入法:1.0
Why
Is there length limit for sparksql/hivesql?
Can antlr work well if sql is too long?
Thanks.
I submit spark with "spark-submit --master yarn-cluster --deploy-mode
cluster"
How can i display message on yarn console.
I expect it to be like this:
.
16/10/20 17:12:53 main INFO org.apache.spark.deploy.yarn.Client>SPK>
Application report for application_1453970859007_481440 (state:
011856 16534452Swap: 2031608 304 2031304Total: 26577916 24269064 2308852
Dr Mich Talebzadeh
LinkedIn https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
http://talebzadehmich.wordpress.com
On 13 May 2016 at 07:36, Jone
The virtual memory is 9G When i run org.apache.spark.examples.SparkPi under yarn-cluster model,which using default configurations.
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
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