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Apache Impala

@ApacheImpala

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The Modern, Open Source MPP SQL Query Engine for Apache Hadoop, Apache HBase, Apache Kudu, Cloud Object Stores and More.

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Joined December 2013
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@ApacheImpala
Apache Impala
5 months
The Apache Impala team is pleased to announce the release of Impala 4.5.0. The release is available at: See for the release notes and other documentation. Thanks to everyone who contributed to the release!.
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@ApacheImpala
Apache Impala
9 months
Check out how Apache Impala caches codegen to further speed up low latency queries in this blog.
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@ApacheImpala
Apache Impala
1 year
The Apache Impala team is pleased to announce the release of Impala 4.4.0. The release is available at: See for the release notes and other documentation. Thanks to everyone who contributed to the release!.
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@ApacheImpala
Apache Impala
3 years
The Apache Impala team is pleased to announce the release of Impala 4.2.0. The release is available at: Thanks to everyone who contributed to the release!.
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@ApacheImpala
Apache Impala
3 years
The Apache Impala team is pleased to announce the release of Impala 4.1.0. The release is available at: See for the release notes and other documentation. Thanks to everyone who contributed to the release!.
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@ApacheImpala
Apache Impala
4 years
The Apache Impala team is pleased to announce the release of Impala 4.0.0. The release is available at: See for the release notes and other documentation. Thanks to everyone who contributed to the release!.
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@ApacheImpala
Apache Impala
5 years
RT @bankimb: 3x-5x faster queries with Bloom filter predicate support in @ApacheKudu and @ApacheImpala
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@ApacheImpala
Apache Impala
5 years
RT @TheASF: More Apache Anniversaries in November: @ApacheGeode (4 yrs); @ApacheGuacamole @ApacheImpala and @ApacheMnemonic (3 yrs); @Apac….
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@ApacheImpala
Apache Impala
5 years
RT @LatestKruger: Today we got a special sighting! Keagan Kingsley tinged this albino impala lamb this afternoon right outside Malelane cam….
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@ApacheImpala
Apache Impala
5 years
Great blog about low-latency "speed of thought" analytics in Impala.
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@ApacheImpala
Apache Impala
5 years
RT @cldrcommunity: Check out how we got a 2x to 7x query performance improvement in CDW with the brand new #ApacheImpala multi-threading ex….
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@ApacheImpala
Apache Impala
5 years
RT @ApacheKudu: In this latest blog post, Boris Tyukin describes in-depth how Cerner uses @ApacheKudu (along with @ApacheImpala, @apachenif….
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@ApacheImpala
Apache Impala
5 years
👀 some awesome new SQL features landing in master ahead of Apache Impala 4.0 - INTERSECT, EXCEPT, ROLLUP, CUBE, GROUPING SETS, more subquery support.
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@ApacheImpala
Apache Impala
5 years
RT @Alluxio: Check out this latest article on how Tencent is leveraging #Alluxio in their #DataAnalytics platform: .
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@ApacheImpala
Apache Impala
5 years
* Production ready @apacheorc reader. * Support for #zstd and #lz4 text compression. And of course, many performance, usability, stability and bug fixes.
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@ApacheImpala
Apache Impala
5 years
Here are some highlights:.* Improved support for insert-only transactional tables. * Server-side result spooling for improved fetch performance and resource utilization. * Fuzzy string match functions.* Column masking support.* Experimental @apachehudi support.
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@ApacheImpala
Apache Impala
5 years
The Apache Impala team is pleased to announce the release of Impala 3.4.0. The release is available at: See for the release notes and other documentation. To Impala 4 and beyond!.
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@ApacheImpala
Apache Impala
5 years
We missed this when it was first published. There are some more options in Impala 3.1+ that give more flexibility about memory allocation too.
@phdatainc
phData
6 years
In our new blog post, phData Senior Solutions Architect Casey Crawford writes about how to tame Apache Impala users with Admission Control. Read the full post here: #ApacheImpala.
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@ApacheImpala
Apache Impala
5 years
RT @ApacheKudu: Try running @ApacheImpala SQL queries on @ApacheKudu in minutes using the latest quickstart guide!.You can query the data i….
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@ApacheImpala
Apache Impala
5 years
We keep hearing positive feedback about our big switch to using @apachekudu's RPC stack in Apache Impala 2.12. It's super-scalable and makes big @ApacheImpala clusters way faster. The last bits of the old RPC stack finally removed from master recently.
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