- Releases Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- SQL Developer Guide
- Python Developer Guide
- ETL Developer Guide
- FAQ
- Contact Us
- Releases Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- SQL Developer Guide
- Python Developer Guide
- ETL Developer Guide
- FAQ
- Contact Us
Overview
An Elasticsearch data sink can write data to Elasticsearch.
Note
Currently, Elasticsearch data sinks only support Elasticsearch 6 and Elasticsearch 7.
Mapping of common data types
For the data types supported by Elasticsearch, see Elasticsearch Data Types. The table below lists some of the common data types and their counterparts in Flink.
Flink | Elasticsearch |
text | STRING |
match_only_text | STRING |
binary | STRING |
keyword | STRING |
wildcard | STRING |
search_as_you_type | STRING |
ip | STRING |
short | SMALLINT |
integer | INT |
long | BIGINT |
unsigned_long | BIGINT |
float | FLOAT |
half_float | FLOAT |
double | DOUBLE |
boolean | BOOLEAN |
date | TIMESTAMP(3) |
date_nanos | TIMESTAMP(6) |
Note
Data types not listed in the above table are not supported currently.
Notes
Primary key
A primary key is required for Elasticsearch. The field set as the primary key will be written into
_id, and data with the same ID will be overwritten.Version differences
Please note that if you use Elasticsearch 6, you need to configure
document-type. This is not necessary with Elasticsearch 7.WITH parameters
Elasticsearch data sinks are developed based on the data analytics engine Elasticsearch. The two have identical WITH parameters. For details, see Elasticsearch Service.
Yes
No
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