Apache Cassandra Table
Explore how Apache Cassandra stores data in distributed tables grouped within keyspaces. Understand the role of partition keys and primary keys in data organization and how this impacts query efficiency. Learn to avoid full table scans by targeting partitions with CQL queries, enhancing performance in a Cassandra cluster.
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Introduction
Apache Cassandra stores data in tables. Tables for an application are grouped and organized in a keyspace. Each table consists of rows and columns. Apache Cassandra tables are distributed around the cluster in blocks or partitions. A partition contains one or more rows. Columns have data types specified in the table definition. The column data types dictate how the data is sorted and stored on disk, impacting the speed at which it is read.
In Apache Cassandra, data models are built to query the data. So, tables are built and stored with the aim of minimizing query response times. To understand how a table’s definition impacts the storage engine, let's look at a ...