Configuration primer
Configuration overview
Pipelines
Conceptually, Quesma is built as a set of pipelines for incoming requests processing. A pipeline consists of:
- Frontend connector - responsible for receiving incoming requests and properly responding to them. Frontend connectors define the API which Quesma exposes - for example, Elasticsearch REST API.
- Processors - responsible for processing incoming data, e.g. translating incoming Elasticsearch Query DSL to SQL.
- Backend connector - responsible for sending processed data to the backend. Specific types of backend connectors are required by the processors.
An example diagram of the Quesma architecture, where query pipeline retrieves data from both Elasticsearch and ClikHouse while ingest pipeline sends data to ClickHouse only, is shown below:
Connectors
Frontend connectors
Frontend connector has to have a name
, type
and config
fields.
name
is a unique identifier for the connectortype
specifies the type of the connector.
At this moment, only two frontend connector types are allowed:elasticsearch-fe-query
andelasticsearch-fe-ingest
.config
is a set of configuration options for the connector. SpecifyinglistenPort
is mandatory, as this is the port on which Quesma is going to listen for incoming requests. Due to current limitations, all frontend connectors have to listen on the same port.
frontendConnectors:
- name: elastic-ingest
type: elasticsearch-fe-ingest
config:
listenPort: 8080
- name: elastic-query
type: elasticsearch-fe-query
config:
listenPort: 8080
The supported configuration options for frontend connectors (under config
):
listenPort
- port number on which the frontend connector will listen for incoming requestsdisableAuth
- when set totrue
, disables authentication for incoming requests (optional, defaults to false). If you use Elasticsearch/Kibana without authentication, set it totrue
.
Backend connectors
Backend connector has to have a name
, type
and config
fields.
name
is a unique identifier for the connectortype
specifies the type of the connector.
At this moment, only three backend connector types are allowed:elasticsearch
,clickhouse
(used for ClickHouse Cloud SaaS service),clickhouse-os
(self-hosted ClickHouse) andhydrolix
.config
is a set of configuration options for the connector.
backendConnectors:
- name: my-minimal-elasticsearch
type: elasticsearch
config:
user: "elastic"
password: "change-me"
url: "http://192.168.0.7:9200"
- name: my-clickhouse-data-source
type: clickhouse-os
config:
user: "username"
password: "username-is-password"
database: "dbname"
url: "clickhouse://192.168.0.9:9000"
The supported configuration options for backend connectors (under config
):
url
- connection string to the backend service in a URL format (protocol://host:port
):- for Elastic/OpenSearch the expected format is
http://host:port
(Elastic/OpenSearch default port is 9200) - for ClickHouse/Hydrolix the expected format is
clickhouse://host:port
(ClickHouse default port is 9000, ClickHouse/Hydrolix default encrypted port is 9440). Note that Quesma supports only the ClickHouse native protocol (clickhouse://
) and does not support the HTTP protocol.
- for Elastic/OpenSearch the expected format is
user
- username for authenticationpassword
- password for authenticationdatabase
- name of the database to connect to. It is optional for ClickHouse, but strictly required for Hydrolix, where it is also referred as "project".adminUrl
- URL for administrative operations to render a handy link in Quesma management UI (optional)disableTLS
- when set to true, disables TLS for the connection (optional)
Processors
At this moment there are three types of processors: quesma-v1-processor-query
, quesma-v1-processor-ingest
and quesma-v1-processor-noop
.
processors:
- name: my-query-processor
type: quesma-v1-processor-query
config:
indexes:
kibana_sample_data_ecommerce:
target:
- backend-clickhouse
schemaOverrides:
fields:
"geoip.location":
type: geo_point
"products.product_name":
type: text
"*":
target:
- backend-elastic
To get more specific information on processor configuration, please refer to Processor configuration section.
Note
- There's a special kind of processor type -
quesma-v1-processor-noop
. It can be used in both query and ingest pipelines. In conjunction with Elasticsearch frontend and Elasticsearch backend connector, it simply transparently routes the traffic 'as is'.
Pipeline configuration
Pipeline configuration is an entity linking frontend connectors, processors and backend connectors. Pipeline must also have unique name. When referring to processors or connectors in the pipeline configuration, use their name
field. Currently Quesma only supports configurations with either a single pipeline or two pipelines.
Example:
pipelines:
- name: my-pipeline-elasticsearch-query-clickhouse
frontendConnectors: [ elastic-query ]
processors: [ my-query-processor ]
backendConnectors: [ my-minimal-elasticsearch, my-clickhouse-data-source ]
- name: my-pipeline-elasticsearch-ingest-to-clickhouse
frontendConnectors: [ elastic-ingest ]
processors: [ my-ingest-processor ]
backendConnectors: [ my-minimal-elasticsearch, my-clickhouse-data-source ]
Processor configuration
Currently, both quesma-v1-processor-query
and quesma-v1-processor-ingest
processors have the same configuration options. quesma-v1-processor-noop
doesn't have any configuration options.
For query and ingest processors you can configure specific indexes via the indexes
dictionary:
processors:
- name: my-query-processor
type: quesma-v1-processor-query
config:
indexes:
kibana_sample_data_logs:
target:
- backend-elasticsearch
kibana_sample_data_ecommerce:
target:
- backend-clickhouse
schemaOverrides:
fields:
"geoip.location":
type: geo_point
"*": # Always required
target:
- backend-elasticsearch
Index configuration
indexes
configuration is a dictionary of configurations for specific indexes. In the example above, the configuration sets up Quesma's behavior for kibana_sample_data_logs
, kibana_sample_data_ecommerce
indexes (visible as Elastic indexes), as well as a mandatory field for the default behavior for all other indexes (*
entry).
The configuration for an index consists of the following configuration options:
target
(required): a list of backend connectors that will handle the request. For example the following configuration in the ingest processor:yamlmy_index: target: - backend-elasticsearch - backend-clickhouse
will dual write ingest requests to
my_index
to both ElasticSearch and ClickHouse. Note that ElasticSearch/OpenSearch is the only supported backend for the*
entry. If no targets are provided (emptytarget
list) in the configuration of an index in the ingest processor, ingest for that index will be disabled and incoming data will be dropped. For the query processor by specifing multiple targets, Compatibility report will be enabled. See Compatibility report documentation for more details.Some backend connectors have additional attributes which may be used. For example the following configuration sets
useCommonTable
forbackend-clickhouse
target:yamlmy_index: target: - backend-clickhouse: useCommonTable: true
Currently only the ClickHouse backend connector supports the following attributes:
useCommonTable
(optional): if enabled, Quesma will store data in a single Hydrolix/ClickHouse table namedquesma_common_table
. See ingest documentation for more details.tableName
(optional): override the name of table in Hydrolix/ClickHouse (by default Quesma uses the same table name as the index name)
schemaOverrides
(optional): manual overrides of schema information for an index. Quesma infers schema for an index based on the data ingested and the schema information fetched from ClickHouse.schemaOverrides
allows you to override this inferred schema with for some fields. For example the following configuration:yamlmy_index: target: - backend-clickhouse schemaOverrides: "product_name": type: "text"
changes the type of
product_name
field totext
. Note:schemaOverrides
are currently not supported in*
configuration.
Optional configuration options
Quesma licensing configuration
In order to be able to use hydrolix
or clickhouse
backend connectors Quesma requires a commercial license key (supplied in the licenseKey
field of the configuration file). Contact us at support@quesma.com if you need one.
licenseKey: ZXlKcGJuTjBZV3hz...
Quesma logging configuration
logging:
path: "/mnt/logs"
level: "debug"
disableFileLogging: false
By default, Quesma container logs only to stdout. If you want to log to a file, set disableFileLogging
to false
and provide a path to the log file. Make sure the path is writable by the container and is also volume-mounted.