Category Archives: Impala

Up and running with Apache Spark on Apache Kudu

Categories: CDH Data Ingestion Data Science General Hadoop How-to Impala Kudu Spark Training Use Case

After the GA of Apache Kudu in Cloudera CDH 5.10, we take a look at the Apache Spark on Kudu integration, share code snippets, and explain how to get up and running quickly, as Kudu is already a first-class citizen in Spark’s ecosystem.

 

As the Apache Kudu development team celebrates the initial 1.0 release launched on September 19, and the most recent 1.2.0 version now GA as part of Cloudera’s CDH 5.10 release,

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Resource Management for Apache Impala (incubating)

Categories: CDH Cloudera Manager Hadoop Impala Ops and DevOps Use Case

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.

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Apache Kudu and Apache Impala (Incubating): The Integration Roadmap

Categories: Impala Kudu

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,

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Apache Impala (incubating) vs. Amazon Redshift: S3 Integration, Elasticity, Agility, and Cost-Performance Benefits on AWS

Categories: Cloud Impala Performance

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,

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Apache Impala (Incubating) on Amazon: Performance and Cost Considerations for S3 vs. EBS

Categories: Cloud Impala Performance

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, such as Amazon Redshift.

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