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CQL Datatypes in Cassandra

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The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear implacability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple data centers is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

CQL provides a rich set of built-in data types, including collection types. Along with these data types, users can also create their own custom data types.

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The following table provides a list of built-in data types available in CQL.

Data Types

Data Type Constants Description
ASCII strings Represents ASCII character string
bigint bigint Represents 64-bit signed long
blob blobs Represents arbitrary bytes
Boolean booleans Represents true or false
counter integers Represents counter column
decimal integers, floats Represents variable-precision decimal
double integers Represents 64-bit IEEE-754 floating-point
float integers, floats Represents 32-bit IEEE-754 floating-point
inet strings Represents an IP address, IPv4 or IPv6
int integers Represents 32-bit signed int
text strings Represents UTF8 encoded string
timestamp integers, strings Represents a timestamp
timeuuid uuids Represents type 1 UUID
uuid uuids Represents type 1 or type 4
    UUID
varchar strings Represents uTF8 encoded string
varint integers Represents arbitrary-precision integer

Cassandra Interview Questions

Collection Types

Cassandra Query Language also provides a collection of data types. The following table provides a list of Collections available in CQL.

Collection Description
list A list is a collection of one or more ordered elements.
map A map is a collection of key-value pairs.
set A set is a collection of one or more elements.

User-defined data types:

Cqlsh provides users a facility of creating their own data types. Given below are the commands used while dealing with user-defined datatypes.

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