Time in milliseconds that HiveServer2 will wait around, right before responding to asynchronous calls that use extensive polling.
Ascertain the amount of map task at most Employed in the comply with up map sign up for task to get a skew be part of by specifying the minimal break up dimensions. It ought to be used together with hive.skewjoin.mapjoin.map.jobs to complete a high-quality grained Manage.
Period of time the Spark Distant Driver must look forward to a Spark job to get submitted right before shutting down. If a Spark occupation is just not introduced just after this amount of time, the Spark Distant Driver will shutdown, Therefore releasing any sources it has been holding on to.
This configuration home allows the person to offer a comma-divided listing of URLs which give the type and placement of Hadoop credential vendors.
When enabled, this selection will allow a consumer script to exit successfully without the need of consuming all the information through the standard input.
This number implies how much memory the community process may take to carry the key/price into an in-memory hash table when this map be part of is followed by a group by.
How many compactor employee threads to run on this metastore occasion. Established this to your constructive amount on one or more scenarios with the Thrift metastore company as Component of turning on Hive transactions. For a whole listing of parameters essential for turning on transactions, see hive.txn.manager.
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Size of the wait queue for browse around this site async thread pool in HiveServer2. Immediately after hitting this limit, the async thread pool will reject new requests.
Even though mr stays the default engine for historical reasons, it truly is by itself a historic engine and is particularly deprecated inside the Hive two line (HIVE-12300). It may be taken out without further more warning.
If the amount of keys in a very dictionary is bigger than this portion of the total variety of non-null rows, convert off dictionary encoding. find out here now Use 1 to constantly use dictionary encoding.
Common mistake permitted for NDV estimates, expressed in share. This presents a tradeoff amongst precision and compute cost. A reduce value for the mistake suggests better precision and a better compute Expense. (NDV implies quantity of distinct values.)
Whether or not the Hive metastore should really endeavor to use direct SQL queries rather than the DataNucleus my explanation for certain browse paths. This could certainly strengthen metastore functionality when fetching several partitions or column statistics by orders of magnitude; nevertheless, it is not certain to Focus on all RDBMS-es and all versions.
Location this flag to correct will address legacy timestamps as time zone agnostic. Environment it to Fake will address legacy timestamps as UTC-normalized.