Arenadata DB
Arenadata DB (ADB) is a distributed analytical data storage built on the open-source massively parallel Greenplum DBMS and designed to store and process large amounts of structured and semi-structured data (up to tens of petabytes).
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Partitioning is a way to increase query performance by logical dividing large tables (such as fact tables) into smaller, more manageable parts called partitions. Due to partitioning query optimizers can read the limited number of table rows (based on predicate conditions) instead of scanning all the table contents each time.
The article describes two ways to install ADB via ADCM: onine (on hosts with access to Internet) and offline (without Internet).
Distribution is one of the most important concepts underlying ADB. It means storing table rows on different segments of the cluster. The more uniform the distribution of the data between segments is — the higher the whole cluster performance is.
ADB supports several types of tables with different data storage models: heap, append-optimized row-oriented, append-optimized column-oriented. The article describes features and possible use cases for each table type.
Learn about software requirements for the Arenadata DB cluster installation.
ADB 6 release notes. Learn about new features, improvements, bug fixes, etc.
Arenadata DB Control (ADB Control) is a real-time Arenadata DB query monitoring system. Learn about ADB Control features, architecture, and some internal details.
This article describes the parameters that can be configured for ADB services via ADCM.
Table is a main data object in ADB. ADB tables are similar to tables in any relational database, except distribution of table rows across the different cluster segments. ADB provides several table storage types and compression options that can be used to store data in the most efficient way.
Spill files (also known as work files) are created on disks if there is not enough memory to store temporary data when executing data queries. This temporary data may include JOIN hashes, sorting results, redistributed tables, etc.