Elasticsearch Connector#

Overview#

The Elasticsearch Connector allows access to Elasticsearch data from Presto. This document describes how to setup the Elasticsearch Connector to run SQL queries against Elasticsearch.

Note

Elasticsearch 6.0.0 or later is required.

Configuration#

To configure the Elasticsearch connector, create a catalog properties file etc/catalog/elasticsearch.properties with the following contents, replacing the properties as appropriate:

connector.name=elasticsearch
elasticsearch.host=localhost
elasticsearch.port=9200
elasticsearch.default-schema-name=default

Configuration Properties#

The following configuration properties are available:

elasticsearch.host#

Hostname of the Elasticsearch node to connect to.

This property is required.

elasticsearch.port#

Specifies the port of the Elasticsearch node to connect to.

This property is optional; the default is 9200.

elasticsearch.default-schema-name#

Defines the schema that contains all tables defined without a qualifying schema name.

This property is optional; the default is default.

elasticsearch.scroll-size#

This property defines the maximum number of hits that can be returned with each Elasticsearch scroll request.

This property is optional; the default is 1000.

elasticsearch.scroll-timeout#

This property defines the amount of time (ms) Elasticsearch keeps the search context alive for scroll requests

This property is optional; the default is 1m.

elasticsearch.request-timeout#

This property defines the timeout value for all Elasticsearch requests.

This property is optional; the default is 10s.

elasticsearch.connect-timeout#

This property defines the timeout value for all Elasticsearch connection attempts.

This property is optional; the default is 1s.

elasticsearch.max-retry-time#

This property defines the maximum duration across all retry attempts for a single request to Elasticsearch.

This property is optional; the default is 20s.

elasticsearch.node-refresh-interval#

This property controls how often the list of available Elasticsearch nodes is refreshed.

This property is optional; the default is 1m.

elasticsearch.ignore-publish-address#

Enable or disable using the address published by Elasticsearch to connect for queries.

elasticsearch.security#

Allows setting password security to authenticate to Elasticsearch.

elasticsearch.auth.user#

User name to use to authenticate to Elasticsearch nodes.

elasticsearch.auth.password#

Password to use to authenticate to Elasticsearch nodes.

TLS Security#

The Elasticsearch connector provides additional security options to support Elasticsearch clusters that have been configured to use TLS.

The connector supports key stores and trust stores in PEM or Java Key Store (JKS) format. The allowed configuration values are:

elasticsearch.tls.keystore-path#

The path to the PEM or JKS key store. This file must be readable by the operating system user running Presto.

This property is optional.

elasticsearch.tls.truststore-path#

The path to PEM or JKS trust store. This file must be readable by the operating system user running Presto.

This property is optional.

elasticsearch.tls.keystore-password#

The key password for the key store specified by elasticsearch.tls.keystore-path.

This property is optional.

elasticsearch.tls.truststore-password#

The key password for the trust store specified by elasticsearch.tls.truststore-path.

This property is optional.

Data Types#

The data type mappings are as follows:

Elasticsearch

Presto

binary

VARBINARY

boolean

BOOLEAN

double

DOUBLE

float

REAL

byte

TINYINT

short

SMALLINT

integer

INTEGER

long

BIGINT

keyword

VARCHAR

text

VARCHAR

date

TIMESTAMP

ip

IPADDRESS

(all others)

(unsupported)

Array Types#

Fields in Elasticsearch can contain zero or more values , but there is no dedicated array type. To indicate a field contains an array, it can be annotated in a Presto-specific structure in the _meta section of the index mapping.

For example, you can have an Elasticsearch index that contains documents with the following structure:

{
    "array_string_field": ["presto","is","the","besto"],
    "long_field": 314159265359,
    "id_field": "564e6982-88ee-4498-aa98-df9e3f6b6109",
    "timestamp_field": "1987-09-17T06:22:48.000Z",
    "object_field": {
        "array_int_field": [86,75,309],
        "int_field": 2
    }
}

The array fields of this structure can be defined by using the following command to add the field property definition to the _meta.presto property of the target index mapping.

curl --request PUT \
    --url localhost:9200/doc/_mapping \
    --header 'content-type: application/json' \
    --data '
{
    "_meta": {
        "presto":{
            "array_string_field":{
                "isArray":true
            },
            "object_field":{
                "array_int_field":{
                    "isArray":true
                }
            },
        }
    }
}'

Special Columns#

The following hidden columns are available:

Column

Description

_id

The Elasticsearch document ID

_score

The document score returned by the Elasticsearch query

_source

The source of the original document

Full Text Queries#

Presto SQL queries can be combined with Elasticsearch queries by providing the full text query as part of the table name, separated by a colon. For example:

SELECT * FROM "tweets: +presto SQL^2"

Pass-through Queries#

The Elasticsearch connector allows you to embed any valid Elasticsearch query, that uses the Elasticsearch Query DSL in your SQL query.

The results can then be used in any SQL statement, wrapping the Elasticsearch query. The syntax extends the syntax of the enhanced Elasticsearch table names with the following:

SELECT * FROM es.default."<index>$query:<es-query>"

The Elasticsearch query string es-query is base32-encoded to avoid having to deal with escaping quotes and case sensitivity issues in table identifiers.

The result of these query tables is a table with a single row and a single column named result of type VARCHAR. It contains the JSON payload returned by Elasticsearch, and can be processed with the built-in JSON functions.

AWS Authorization#

To enable AWS authorization using IAM policies, the elasticsearch.security option needs to be set to AWS. Additionally, the following options need to be configured appropriately:

Property Name

Description

elasticsearch.aws.region

AWS region or the Elasticsearch endpoint. This option is required.

elasticsearch.aws.access-key

AWS access key to use to connect to the Elasticsearch domain.

elasticsearch.aws.secret-key

AWS secret key to use to connect to the Elasticsearch domain.