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2. Using a Local Repository
If your enterprise clusters have limited outbound Internet access, you should consider using a local repository, which enables you to benefit from more governance and better insta... -
Collections
_.at(collection [, index1, index2, …]) Arguments Returns Example _.contains(collection, target [, fromIndex=0]) Aliases Arguments Returns Example _.countBy(collection [, c... -
Log In to Apache Ambari
Prerequisites Steps Next Step More Information Prerequisites Ambari Server must be running. To log in to Ambari Web using a web browser: Steps Point your web browser to... -
Solution for Big Result Sets
Incremental collection Use in single connections Change incremental collection mode in session Typically, when a user submits a SELECT query to Spark SQL engine, the Driver cal... -
Assign Slaves and Clients
Steps Next Step The Cluster Install wizard assigns the slave components, such as DataNodes, NodeManagers, and RegionServers, to appropriate hosts in your cluster. It also attemp... -
TPC-H
TPC-H Integration Dependencies Configurations TPC-H Operations The TPC-H is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concur... -
Schemas
Iceberg tables support the following types: Type Description Notes boolean True or false int 32-bit signed integers Can promote to long long 64-bit s... -
Array
_.chunk(array, [size=1]) Since Arguments Returns Example _.compact(array) Since Arguments Returns Example _.concat(array, [values]) Since Arguments Returns Example ... -
Collection
_.countBy(collection, [iteratee=_.identity]) Since Arguments Returns Example _.every(collection, [predicate=_.identity]) Since Arguments Returns Example _.filter(collec... -
TPC-DS
TPC-DS Integration Dependencies Configurations TPC-DS Operations The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and con...