You might be surprised. Apache Hive is the most prevalent query engine used in many of the largest enterprise environments today, but that doesn't mean it works optimally automatically. To get the most out of the engine and achieve Hive query optimization, it’s important to tune its performa...
You may be knowing some of these hive query optimization techniques like using parallel lines, file formats, optimizing joins, etc. But I will also discuss some advanced hive performance tuning techniques so that you can master the optimization of hive queries. So let’s start with Hive performa...
we make a case for Resource and Query Optimization (or RAQO), i.e., choosing both the query plan and the resource configuration at the same time. We describe rule-based RAQO and present alternate decisions trees to make resource-aware query planning in ...
Define Query languages. Query languages synonyms, Query languages pronunciation, Query languages translation, English dictionary definition of Query languages. n computing the instructions and procedures used to retrieve information from a database Colli
To improve the processing efficiency on batch query for MapReduce, a multiple query optimization approach based on Hive+ is proposed to reduce the number o... Han, YingYu, Xiao QiangLi, XuYao, Chun LongZhao, Xin - 《Journal of Intelligent & Fuzzy Systems Applications in Engineering & Technolo...
Performance optimizationIn today's big data era, the capability of analyze massive data efficient and return the results within an short time limit is critical to decision making, thus many big data system proposed and various distributed and parallel processing techniques are heavily investigated. ...
主流OLAP引擎如Hive、SparkSQL、Kylin、Impala、Druid等,它们大多数只提供了Query Result Cache,Query Plan Cache这方面的建设一般比较少,这也说得过去,毕竟对于OLAP引擎而言,数据和结果集Cache性价比更高。 传统数据库厂商DB2、Oracle、SQL Server等,这些数据库老炮儿们,在这方面自然有所建树,它们一般都提供了完整的...
To show the benefit of the Catalog Cache we issued an invalidate statement to flush the cached metadata for each of our tables and reran the query to measure the time to fetch the data directly from the Hive Metastore. In this case it took 4s compared to the 13ms from above. ...
Optimization strategies for A/B testing on HADOOP In this work, we present a set of techniques that considerably improve the performance of executing concurrent MapRe- duce jobs. Our proposed solution relies on proper resource allocation for concurrent Hive jobs based on data depen- den... A Ch...
How Query Acceleration for Azure Data Lake improves performance and cost Big data analytics frameworks, such as Spark, Hive, and large-scale data processing applications, work by reading all of the data using ahorizontally-scalabledistributed computing platform with techniques such asMapRedu...