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Welcome To Amberstone!

Amberstone is a massively scalable compression, storage and aggregation engine for machine generated data. Machine generated data is loaded into it and stored in tightly compressed, column oriented fact tables. Once loaded, Amberstone can very efficiently output time series aggregate tables which can be loaded into any database or column store for reporting. Amberstone can be run on a single node, or clustered to increase storage capacity and load/aggregation throughput. Amberstone also aggregates sessio...

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Welcome To Amberstone! | amberstonelabs.com Reviews

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Amberstone is a massively scalable compression, storage and aggregation engine for machine generated data. Machine generated data is loaded into it and stored in tightly compressed, column oriented fact tables. Once loaded, Amberstone can very efficiently output time series aggregate tables which can be loaded into any database or column store for reporting. Amberstone can be run on a single node, or clustered to increase storage capacity and load/aggregation throughput. Amberstone also aggregates sessio...

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4 command reference

5 download

6 what is amberstone

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10 aggregation

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Welcome To Amberstone! | amberstonelabs.com Reviews

https://amberstonelabs.com

Amberstone is a massively scalable compression, storage and aggregation engine for machine generated data. Machine generated data is loaded into it and stored in tightly compressed, column oriented fact tables. Once loaded, Amberstone can very efficiently output time series aggregate tables which can be loaded into any database or column store for reporting. Amberstone can be run on a single node, or clustered to increase storage capacity and load/aggregation throughput. Amberstone also aggregates sessio...

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amberstonelabs.com

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User Guide

http://www.amberstonelabs.com/userguide.html

11 What You Need To Know. 12 Java Virtual Machine. 13 Downloading the Build. 14 Setting Environment Variables. 22 Creating a New Partition. 23 Preparing Load Units. 24 Configuring the partition. 241 Working With Dictionaries. 242 Cardinality Limits of Dynamic and Resource Dictionaries. 243 Configuring the Fact Table. 246 Handling Floating Points. 247 Sample Fact Table Configuration. 248 Sample Loader Configuration. 249 Creating Efficient Fact Tables. 25 Running the load. 26 Loading the Sample Data. Amber...

2

Command Reference

http://www.amberstonelabs.com/commands.html

Amberstone commands are found in the $AMBERSTONE HOME/bin directory. Inside this directory there is a Unix shell script and Windows batch file for each command. The aggregate command builds the aggregations. Aggregate [partition] [aggregators config] [startYYYYMMDD] [endYYYYMMDD]. AMBESTONE HOME/bin/aggregate.sh sample basic.xml 20120601 20120630. AMBERSTONE HOME% bin aggregate sample basic.xml 20120601 20120630. The example above builds the aggregates for the sample. AMBERSTONE HOME bin archive sample.

3

Functions Reference

http://www.amberstonelabs.com/functions.html

Function evaluates its two parameters and returns true if both parameters return true. Parameter 1 must evaluate to a boolean. Parameter 2 must evaluate to a boolean. Cube name=customer hits groupby="$cust id" aggregate=sum(1) where=and(notNull($cust id), gt($cost, 0) /. In the example above the and. Function is used in the where. Clause to filter records aggregated by a cube. It's first parameter, notNull($cust id'). Returns true if the cust id. Column is not null. The second parameter, gt($cost, 0).

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Welcome To Amberstone!

http://www.amberstonelabs.com/download.html

Amberstone Version .9. Amberstone dot9.tar.gz.

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Welcome To Amberstone!

http://www.amberstonelabs.com/home.htm

Amberstone is a massively scalable compression, storage and aggregation engine for machine generated data. Machine generated data is loaded into it and stored in tightly compressed, column oriented fact tables. Once loaded, Amberstone can very efficiently output time series aggregate tables which can be loaded into any database or column store for reporting. Amberstone can be run on a single node, or clustered to increase storage capacity and load/aggregation throughput. Amberstone also aggregates sessio...

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