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Datetime Pieces

Serverless

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Datetime representations often contain the data to extract individual datetime pieces such as year, hour, timezone, and so on. Use individual pieces of a datetime to create a complex datetime, and use a complex datetime to extract individual pieces.

Datetime Pieces Examples

  • Create a complex datetime from pieces:

    Java 
    int year = 1983;
int month = 10;
int day = 13;
int hour = 22;
int minutes = 15;
int seconds = 30;
int nanos = 0;
ZonedDateTime zdt = ZonedDateTime.of(
        year, month, day, hour, minutes, seconds, nanos, ZoneId.of('Z'));

  • Extract pieces from a complex datetime:

    Java 
    ZonedDateTime zdt =
        ZonedDateTime.of(1983, 10, 13, 22, 15, 30, 100, ZoneId.of(tz));
int year = zdt.getYear();
int month = zdt.getMonthValue();
int day = zdt.getDayOfMonth();
int hour = zdt.getHour();
int minutes = zdt.getMinute();
int seconds = zdt.getSecond();
int nanos = zdt.getNano();