Time in milliseconds that HiveServer2 will wait around, in advance of responding to asynchronous calls that use extensive polling.
Quantity of threads utilized by partialscan/noscan analyze command for partitioned tables. This can be relevant just for file formats that apply the StatsProvidingRecordReader interface (like ORC).
This flag need to be set to genuine to restrict usage of native vector map be a part of hash tables on the MultiKey in queries making use of MapJoin.
This number implies exactly how much memory the regional undertaking usually takes to carry The main element/benefit into an in-memory hash table. In the event the nearby task's memory utilization is over this range, the nearby undertaking will be aborted. This means the data of modest desk is simply too huge to generally be held in memory.
No matter if to examine, convert, and normalize partition worth laid out in partition specification to conform on the partition column kind.
If That is established to legitimate, mapjoin optimization in Hive/Spark will use supply file dimensions affiliated with the TableScan operator on the basis on the operator tree, instead of using operator statistics.
The utmost memory for use by map-aspect team aggregation hash desk. When the memory utilization is increased than this selection, force to flush knowledge.
This flag need to be established to accurate to permit vectorized method with the cut down-side of query execution. The default value is accurate.
In addition to the configuration Qualities mentioned In this particular portion, some Homes in other sections are also next relevant to Tez:
Whether or not to optimize multi team by query to produce just one M/R task strategy. In case the multi team by query has widespread group by keys, It's going to be optimized to generate one M/R task.
Clear away further map-minimize jobs if the information is currently clustered by the same essential which must be made use of again. This should normally be set to legitimate. Because it is a new attribute, it's been created configurable.
When auto reducer parallelism is enabled this aspect is going to be accustomed to above-partition knowledge in shuffle edges.
Set this to some greatest amount of threads that Hive will use to listing file data from file devices, for instance file measurement and variety of information per desk (advised > 1 for blobstore).
The company principal for your metastore thrift server. The Unique string _HOST will get replaced routinely with the correct host title.