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Awesome GitHub RepositoriesSpark Execution Backends
Running Hive queries on Apache Spark for faster performance compared to MapReduce or Tez.
Distinct from Multi-Engine Execution Backends: Distinct from Multi-Engine Execution Backends: specifically focuses on Spark as the execution engine, not the general multi-engine switching capability.
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Awesome Spark Execution Backends GitHub Repositories
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- apache/hive
apache/hive
6,012Voir sur GitHubApache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac
Supports running Hive queries on Apache Spark for accelerated performance.
Javaapachebig-datadatabase
