Apache Impala (incubating) includes several features that allow you to restrict or allocate resources so as to maximize stability and performance for your Impala workloads. You can limit both CPU and memory resources used by Impala to manage and prioritize jobs on CDH clusters. This blog post describes the techniques a typical Impala deployment can use to manage its resources.
Static Service Pools
Static service pools isolate services from one another, so that a high load on one service has limited impact on other services.
Impala users can expect new performance and usability benefits via improved integration with Kudu.
It’s been nearly one year since the public beta announcement of Kudu (now a top-level Apache project) and a noteworthy milestone has been reached: its 1.0 release. This is particularly exciting as Kudu extends the use cases that can be supported on the Apache Hadoop platform, whether it be on-premises or in the cloud,
As measured across multiple dimensions (see analysis below), Impala provides a better cloud-native experience than Redshift for a number of common use cases.
Impala 2.6 brings read/write support on Amazon S3, which provides cloud capabilities such as direct querying of data from S3, elastic scaling of compute, and seamless data portability and flexibility that are unique amongst cloud-based analytic databases. With more and more users looking to deploy and run in public-cloud environments,
The benchmark testing results detailed below can help you make an informed decision about AWS storage options for Impala.
In a recent post, you learned how Impala 2.6 on S3 delivers cloud-native features unmatched by other analytic databases in the cloud. With support to read/write data from Amazon S3, Impala provides cloud capabilities such as direct querying of data from S3, elastic scaling of compute, and seamless data portability and flexibility not found on other cloud-based analytic databases,
Microsoft recently announced a new Impala Connector for the Power BI Desktop (currently a preview, with GA expected early in 2017). Cloudera is also working with Microsoft’s Power BI Engineering team to certify it against Impala to ensure it meets critical enterprise requirements such as security. The following Microsoft post about the new connector, by Power BI senior program manager Miguel Llopis, is re-published below for your convenience.
In the Power BI Desktop July 2016 Update,