Tag Archives: apache

Apache Hadoop 3.0.0-alpha2 Released

Categories: Community Hadoop

The Apache Hadoop project announced the release of 3.0.0-alpha2 on January 25th, 2017. This is the second alpha release in the 3.0.0 release series leading up to 3.0.0 GA, and incorporates 857 new fixes, improvements, and features since 3.0.0-alpha1 last September. It’s worth reading our previous blog post about 3.0.0-alpha1; in this post, we’ll discuss the new improvements that landed in alpha2.

Classpath Isolation for Hadoop Client Jars

The pain of classpath isolation has been experienced by many Java developers.

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Progress Report: Hive-on-Spark Nears Production Readiness

Categories: Cloudera Labs Hive Spark

Contributors from Intel, Cloudera, and the rest of the community have been making strong progress on the Hive-on-Spark initiative. This post provides an update.

[Editor’s note (April 20, 2016): Hive-on-Spark is now GA/shipping starting in CDH 5.7.]

Since its inception about one year ago, the community initiative to make Apache Spark a data processing engine for Apache Hive (HIVE-7292) has attracted widespread interest from developers around the world and gone through phases of rapid development,

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New in Cloudera Enterprise 5.5: Support for Complex Types in Impala

Categories: Impala Parquet

The new support for complex types in Impala makes running analytic workloads considerably simpler.

Impala 2.3 (shipping starting in Cloudera Enterprise 5.5) contains support for querying complex types in Apache Parquet tables, specifically ARRAY, MAP, and STRUCTs. This capability enables users to query against naturally nested data sets without having to perform ETL to flatten them. This feature provides a few major benefits, including:

  • It removes additional ETL and data modeling work to flatten data sets.

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