5 Tips for efficient Hive queries with Hive Query Language
Hive on Hadoop makes data processing so straightforward and scalable that we can easily forget to optimize our Hive queries. Well-designed tables and queries can greatly improve your query speed and reduce processing costs. This article includes five tips, which are valuable for ad-hoc queries, to save time, as much as for regular ETL (Extract, Transform, Load) workloads, to save money. The three
Enable Sorted Bucketing in Hive
From the hive documents mostly we get to an impression as for grouping records, we go in for partitions and for sampling purposes, ie for evenly distributed records across multiple files we go in for buckets. But can we group records based on some columns/fields in buckets as well (individual files in buckets).Concepts get clearer when we explain it through examples. So I’m taking the same route h
High Volume Updates in Apache Hive
Apache Hive provides a convenient SQL-based query language to data stored in HDFS. HDFS provides highly scaleable bandwidth to the data, but does not support arbitrary writes. One of Hortonworks` customers needs to store a high volume of customer data (> 1 TB/day) and that data contains a high percentage (15%) of record updates distributed across years. In many high-update use-cases, HBase would s
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Optimization on bucketized/sorted tables - mdef...@orange.com - org.apache.hadoop.hive-user - MarkMail
Front Page - Coreservlets
When/how to use partitions and buckets usefully? - Ruben de Vries - org.apache.hadoop.hive-user - MarkMail
Search results for Hive Sessionization - MarkMail
