Sasl QOP benefit; established it to 1 of the next values to enable higher levels of protection for HiveServer2 communication with customers.
Regardless of whether a MapJoin hashtable must deserialize values on need. Dependant upon what number of values in the desk the be a part of will truly touch, it could save loads of memory by not developing objects for rows that are not required. If all rows are needed, clearly there isn't any gain.
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When hoping a lesser subset of knowledge for simple LIMIT, simply how much size we need to ensure Each and every row to obtain at least.
This flag needs to be established to accurate to empower vectorized mode of query execution. The default worth is fake.
No matter whether to help Log4j2's asynchronous logging. Asynchronous logging can give sizeable effectiveness enhancement as logging is going to be dealt with in a very individual thread that takes advantage of the LMAX disruptor queue for buffering log messages.
Time in milliseconds in between operates of the cleaner thread. Rising this value will lengthen the time it takes to clean up outdated, no more applied versions of information and reduced the load within the metastore server.
Highest variety of bytes a script is allowed to emit to plain mistake (for each map-cut down undertaking). This helps prevent runaway scripts from filling logs partitions to capability.
Setting this residence to real may have HiveServer2 execute Hive operations as the consumer earning the calls to it.
Though mr continues to be the default engine for historical factors, it really is itself a this link historic motor and is also deprecated inside the Hive 2 line (HIVE-12300). It could be taken off devoid of even further warning.
When hive.improve.limittranspose is correct, this variable specifies the negligible proportion (fractional) reduction with the measurement of the outer input of your be a part of or enter from the union the optimizer must get so that you can use the rule.
Hash aggregation will be turned off In the event the ratio in between hash table sizing and input rows is bigger than this range. Established to 1 to ensure hash aggregation isn't turned off.
Whether or not the Hive metastore need to attempt to use direct SQL queries as opposed to the DataNucleus for specific study paths. This could certainly increase metastore effectiveness when fetching lots of partitions or column statistics by orders of magnitude; nonetheless, It's not necessarily sure to Focus on all RDBMS-es and all variations.
To show on Hive transactions, alter the values of these parameters from their defaults, as explained below: