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error:
Checking ports...
Sending job 'Framework_Semantic_Abac' to server (10.1.6.23:8001)...
File transfer completed.
Deploying job 'Framework_Semantic_Abac' on server (10.1.6.23:8000)...
Running job 'Framework_Semantic_Abac'...
Starting job Framework_Semantic_Abac at 14:18 30/07/2018.
[statistics] connecting to socket on port 3954
[statistics] connected
[WARN ]: org.apache.hadoop.util.NativeCodeLoader - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
[WARN ]: org.apache.spark.SparkConf - In Spark 1.0 and later spark.local.dir will be overridden by the value set by the cluster manager (via SPARK_LOCAL_DIRS in mesos/standalone and LOCAL_DIRS in YARN).
[statistics] disconnected
[ERROR]: semantic_layer_se.framework_semantic_abac_0_1.Framework_Semantic_Abac - TalendJob: 'Framework_Semantic_Abac' - Failed with exit code: 1.
java.lang.IllegalArgumentException: Invalid hostname in URI s3n:
Hello,
Did your secret key for S3 contains a "/" an invalid hostname?
Could you please refer to this issue page to see if it is what you are looking for?
Best regards
Sabrina
Hello,
Did your secret key for S3 contains a "/" an invalid hostname?
Could you please refer to this issue page to see if it is what you are looking for?
Best regards
Sabrina
Hi, It seems this issue is not solved.
I read the details on the jira issue link (https://issues.apache.org/jira/browse/HADOOP-3733?focusedCommentId=15132075&page=com.atlassian.jira....)
1) Yes, the guys there said to encode "/" and "+" characters, but even doing this the connection have not worked.
2) According to the further comments it's not ideal passing credentials on URI, they advice to avoid this if possible... But I think this is not possible, this would be possible if the tS3Configuration get changed, manipulating the key_id and secret_key in a different way.
3) Generating a key_id and secret_key until getting values without "/" is a workaround... but I think this is not acceptable.
Could you give a help with that?