Entries tagged [hbase]

HBase on Azure: Import/Export snapshots from/to AD...

by Apekshit Sharma, HBase Committer. Overview Azure Data Lake Store (ADLS) is Microsoft’s cloud alternative for Apache HDFS. In this blog, we’ll see how to use it as backup for storing snapshots of Apache HBase tables. You can export snapshots to ADLS for backup; and for recovery, import the snapshot back to HDFS and use it to clone/restore... [Read more...]

Announcing Phoenix 4.10 released

The Apache Phoenix team is pleased to announce the immediate availability of the 4.10.0 release . Apache Phoenix enables SQL-based OLTP and operational analytics for Hadoop using Apache HBase as its backing store and providing integration with other projects in the ecosystem such as Spark, Hive, Pig, Flume, and MapReduce. The 4.x releases are compatible... [Read more...]

Offheap Read-Path in Production - The Alibaba stor...

By Yu Li (HBase Committer/Alibaba), Yu Sun (Alibaba), Anoop Sam John (HBase PMC/Intel), and Ramkrishna S Vasudevan (HBase PMC/Intel) Introduction HBase is the core storage system in Alibaba’s Search Infrastructure. Critical e-commerce data about products, sellers and promotions etc. are all synced into HBase from various online... [Read more...]

Announcing Phoenix 4.9 released

The Apache Phoenix team is pleased to announce the immediate availability of the 4.9.0 release . Apache Phoenix enables SQL-based OLTP and operational analytics for Hadoop using Apache HBase as its backing store and providing integration with other projects in the ecosystem such as Spark, Hive, Pig, Flume, and MapReduce. The 4.x releases are compatible... [Read more...]

Announcing Phoenix 4.8 released

The Apache Phoenix team is pleased to announce the immediate availability of the 4.8.0 release . Apache Phoenix enables SQL-based OLTP and operational analytics for Hadoop using Apache HBase as its backing store and providing integration with other projects in the ecosystem such as Spark, Hive, Pig, Flume, and MapReduce. The 4.x releases are compatible... [Read more...]

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