The number of modest desk rows for a match in vector map sign up for hash tables the place we utilize the recurring area optimization in overflow vectorized row batch for be a part of queries working with MapJoin. A price of -one indicates do make use of the be part of final result optimization. Or else, threshold worth is often 0 to most integer.
No matter whether a MapJoin hashtable should deserialize values on need. Based upon the number of values in the desk the sign up for will really touch, it could possibly save plenty of memory by not creating objects for rows that are not needed. If all rows are essential, of course there's no obtain.
This residence is to indicate what prefix to make use of when creating the bindDN for LDAP link (when utilizing just baseDN). So bindDN will be "=,". If userDNPattern and/or groupDNPattern is Employed in the configuration, the guidKey just isn't needed. Generally essential when just baseDN is getting used.
Should really the metastore do authorization checks towards the fundamental storage for operations like drop-partition (disallow the fall-partition When the consumer in issue does not have permissions to delete the corresponding directory about the storage).
If This can be established to true, mapjoin optimization in from this source Hive/Spark will use supply file dimensions connected with the TableScan operator on the basis of the operator tree, as opposed to working with operator statistics.
When configuring find more the max link pool dimension, it is usually recommended to take into consideration the quantity of metastore cases and the number of HiveServer2 scenarios
If This can be set to true, Hive on Spark will sign up personalized serializers for facts types in shuffle. This should end in much less shuffled facts.
No matter if to execute Work opportunities in parallel. Applies to MapReduce jobs which can run in parallel, for example Careers processing diverse source tables in advance of a be a part of. As of Hive 0.fourteen, also applies to shift jobs that will operate in parallel, such as shifting data files to insert targets through multi-insert.
The most knowledge dimension for the dimension desk that generates partition pruning details. If reaches this Restrict, the optimization might be turned off.
Moreover the configuration Houses shown In this particular area, some Qualities in other sections may also be linked to Spark:
The default amount of minimize responsibilities for each career. Ordinarily set to a primary near the quantity of offered hosts. Ignored when mapred.
Title on the natural environment variable that retains the exclusive script operator ID while in the consumer's rework operate (the custom made mapper/reducer the user has laid out in the query).
The privileges quickly granted to some groups Anytime a desk receives developed. An example like "groupX,groupY:pick out;groupZ:produce" will grant find privilege to groupX and groupY, and grant generate privilege to groupZ Anytime a different table established.
configured with embedded metastore. To have ideal functionality, set config to fulfill the subsequent issue