Goal is to provide ability to deny/allow access to given tables on a per user
basis (this is the user connecting via jdbc to spark thrift server. ie with
LDAP creds). ie user bob can see table A but not table B. user mary can see
table B but not table A.
What are folks thoughts on the approach?
has anyone got spark jars working with hadoop3.1 that they can share? i am
looking to be able to use the latest hadoop-aws fixes from v3.1
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To
https://issues.apache.org/jira/browse/HADOOP-13421 mentions s3a can use s3 v2
api for performance. has anyone been able to use this new hadoop-aws jar
with Spark?
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https://issues.apache.org/jira/browse/SPARK-23576 ?
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Hi
Can any member of Apache Incubator PMC provide a vote for Apache Airflow
1.10 to be released?
Thanks
https://lists.apache.org/thread.html/fb09a91f1cef4a63df4d5474e2189248aa65a609a6237d8eefcd8eb7@%3Cdev.airflow.apache.org%3E
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Are there any plans to make Sparksql have the necessary enterprise grade
features to join the ranks of Presto/HiveServer2?
Some key things missing from SparkSQL:
Role Based Access control authorization (either Sql standard or Apache
Ranger)
LDAP user/group filters
Data masking plugin
DoAs
