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    A description of the sections and properties defined in the sample config file, $CBES_HOME/config/example-connector-config.toml.
    If this is your first time working with the TOML config file format, check out Nate Finch’s excellent Intro to TOML, or the official specification.

    Group Membership

    First, let’s define some terminology:

    connector instance

    A single connector process. When you run the cbes command, you are starting an instance of the connector. Sometimes referred to as a "connector worker", or simply an "instance."

    connector group

    A set of one or more connector instances configured to share the task of replicating from the same bucket.

    The first section of the config file tells the connector instance which group it belongs to. A connector group is defined by configuring one or more connector instances to use the same group name.

      name = 'example-group' (1)
    1 Each connector group must be assigned a unique name (in order to keep its replication checkpoints separate). The group name is required even if there is only one connector instance in the group.
    Renaming a group invalidates its replication status checkpoint, causing the connector to start replicating from the beginning again. To preserve the checkpoint (i.e. the replication progress), run the cbes-checkpoint-backup command before renaming, and cbes-checkpoint-restore afterwards.

    Sharing the load

    A group with more than once instance is called "distributed". Each instance in a distributed group must be told which part of the workload it is responsible for.

    The default configuration is not distributed, since it specifies a group with only one member.

    [group.static] (1)
      memberNumber = 1 (2)
      totalMembers = 1 (3)
    1 This config section is named "static" because the group membership is predetermined. A future release is expected to introduce a "coordinated" mode that will allow instances to dynamically join and leave the group.
    2 A value from 1 to 'totalMembers', inclusive. Each member in the group must be assigned a unique member number.
    3 The total number of workers in the group.
    To safely add or remove workers from a static group, first stop all running workers, then reconfigure them with the new 'totalMembers' value, and finally start all the workers again.


    Performance metrics may be written to a log file and/or exposed via HTTP to enable external monitoring.

      httpPort = 31415 (1)
      logInterval = '1m' (2)
    1 Set the port number to -1 to disable the embedded HTTP server.
    2 "One minute." A value of '0m' disables metrics logging.

    The metrics log file location defaults to CBES_HOME/logs/cbes-metrics.log. The location and retention policy can be changed by editing $CBES_HOME/config/log4j2.xml (consult the Log4j2 Configuration Manual for details).

    Trust Store for Secure Connections

    This is where you tell the connector how to access the keystore containing the certificates to trust when establishing TLS/SSL connections. For more details, see Setting Up Secure Connections. If you decide not to enable secure connections, you can ignore this section.

      path = 'path/to/truststore' (1)
      pathToPassword = 'secrets/truststore-password.toml' (2)
    1 The filesystem path to the keystore containing the CA certificates for the Couchbase and/or Elasticsearch clusters. The base for a relative path is the connector installation directory.
    2 Path to a separate TOML file with a single 'password' key. The base for a relative path is the connector installation directory.


    Here’s where the Couchbase connection parameters and credentials are specified.

      hosts = ['localhost'] (1)
      bucket = 'travel-sample' (2)
      metadataBucket = '' (3)
      username = 'Administrator' (4)
      pathToPassword = 'secrets/couchbase-password.toml' (5)
      secureConnection = false (6)
    1 A list of bootstrap nodes for the Couchbase cluster. Multiple nodes can be specified like ['host1','host2'].
    2 The source bucket to replicate from.
    3 The bucket for storing metadata like replication checkpoint documents. Empty string means store metadata in the source bucket. Note: The ability to store metadata in a separate bucket is an "uncommited" feature introduced in version 4.0.1 of the connector. Until the feature is promoted to "committed" status, it may be changed or removed in a future patch version without advance notice.
    4 At a minimum, the Couchbase user must have the "Data DCP Reader" role for the source bucket, and "Data Reader" & "Data Writer" roles for the metadata bucket.
    5 Path to a separate TOML file with a single 'password' key. The base for a relative path is the connector installation directory.
    6 If you have configured the Trust Store section, set this to true to encrypt the Couchbase connections.
    If you want to replicate from multiple buckets, you can run a separate connector group for each bucket.


    Options for the Couchbase Database Change Protocol (DCP).

    Couchbase Server notifies the connector about database changes as soon as they are stored in memory, even before they are written to disk. You can tell the connector to immediately propagate the changes to Elasticsearch, or you can defer writing to Elasticsearch until the changes have been saved to disk on all Couchbase replicas.

    Immediate propagation gives the lowest possible latency, but increases the likelihood that a Couchbase node failure will result in document changes being present in Elasticsearch but not in Couchbase.

      compression = true (1)
      flowControlBuffer = '128mb' (2)
      persistencePollingInterval = '100ms' (3)
    1 Disabling compression uses more network bandwidth and increases Couchbase Server’s CPU usage. Enabling compression increases the connector’s CPU usage.
    2 Couchbase will only send this much data until the connector acknowledges it has been written to Elasticsearch.
    3 To propagate changes immediately, disable persistence polling by setting this to '0ms'. A non-zero duration tells the connector to defer propagation until the change is persisted on all Couchbase replicas. Longer intervals reduce network traffic at the cost of increased end-to-end latency.
    When replicating from an ephemeral bucket, always set persistencePollingInterval = '0s' to disable persistence polling, since documents are never persisted.


      hosts = ['localhost'] (1)
      username = 'elastic' (2)
      pathToPassword = 'secrets/elasticsearch-password.toml' (3)
      secureConnection = false (4)
    1 A list of bootstrap nodes for the Elasticsearch cluster. Multiple nodes can be specified like ['host1','host2']. Specify a custom port like ['host:19002'].
    2 Elasticsearch user to authenticate as. Username and password are only required if Elasticsearch is set up to require authentication.
    3 Path to a separate TOML file with a single 'password' key. The base for a relative path is the connector installation directory.
    4 If your Elasticsearch cluster requires secure connections, configure the Trust Store section and then set this to true to encrypt the Elasticsearch connections.

    Bulk Request Limits

    The Elasticsearch documentation offers these guidelines for sizing bulk requests. Experiment with these parameters to see what yields the best performance with your data and cluster configuration.

      bytes = '10mb' (1)
      actions = 1000 (2)
      timeout = '1m' (3)
      concurrentRequests = 2 (4)
    1 Limits the size in bytes of a single bulk request.
    2 Limits the number of actions (index or delete) in single bulk request.
    3 A bulk request will be retried if it takes longer than this duration.
    4 Limits the number of simultaneous bulk requests the connector will make. Setting this to 1 will reduce the load on your Elasticsearch cluster.
    Actual bulk request size may exceed the bytes limit by approximately the size of a single document. Make sure the limit configured here is well under the Elasticsearch cluster’s http.max_content_length setting.

    Document Structure

    You control whether the Couchbase document is indexed verbatim, or whether it is transformed to include Couchbase metadata. If you decide to include metadata, it will be in a top-level field of the Elasticsearch document, with a field name of your choice. You also control whether the Couchbase document content is at the top level of the Elasticsearch document, or nested inside field named doc.

    The connector does not replicate a document’s extended attributes (xattrs).
      metadataFieldName = 'meta' (1)
      documentContentAtTopLevel = false (2)
      wrapCounters = false (3)
    1 Name to assign to the metadata field, or empty string ('') to omit metadata.
    2 If false, the Elasticsearch document root will have a doc field whose value is the Couchbase document. If true, the Elasticsearch document will be identical to the Couchbase document with the possible addition of the metadata field.
    3 If false, ignore Couchbase counter documents. If true, replicate them as Object nodes like {"value":<counter>}
    The defaults mimic the behavior of version 3.x of the connector. If you don’t care about metadata, you can make the Elasticsearch document identical to the Couchbase document by setting documentContentAtTopLevel = true and metadataFieldName = ''.
    If you set documentContentAtTopLevel = true, be sure to omit metadata or select a metadata field name that does not conflict with any document fields.

    Type Definitions

    Not to be confused with Elasticsearch types — these are not those.

    A type definition is a rule for matching a document ID, and instructions for what to do with matched documents.

    The order of type definitions is significant. If a document matches more than one type, the definition that appears first in the config file takes precedence.

    Type Definition Defaults

    Here’s where you can specify the default values for all type definitions. This may be useful, for example, if you want to write all documents to the same index, or send them all through the same pipeline. The default values can be overridden by specific type definitions, which we’ll look at in just a moment.

      index = '' (1)
      pipeline = '' (2)
      typeName = '_doc' (3)
      ignore = false (4)
      ignoreDeletes = false (5)
    1 Write matching documents to this index. Empty string ('') means "no default".
    2 Send matching documents though this pipeline. Empty string ('') means "no pipeline".
    3 Assign this Elasticsearch type to matching documents.
    4 If true, ignore matching documents entirely.
    5 If true, never delete matching documents from Elasticsearch.

    Document matching rules

    Every type definition must have a rule for matching document IDs. The matching rule is specified by exactly one of the following fields:


    A type definition with a prefix field matches any document whose ID starts with the given case-sensitive string.


    A type definition with a regex field matches any document whose ID fully matches the given Java regular expression.

    If the regular expression contains a capturing group named "index", the captured value will be used as the destination index. We’ll see an example of this shortly.

    Sample Type Definitions

    The first sample definition we’ll look at is one you should include whenever the Couchbase Sync Gateway is present. It ignores any Sync Gateway metadata documents based on their ID prefix.

    Ignore Sync Gateway Metadata

      prefix = '_sync:' (1)
      ignore = true (2)
    1 This type definition matches any document whose ID begins with the specified case-sensitive string.
    2 Any matched documents will be ignored completely.
    Did you notice that unlike the config sections we’ve looked at so for, the [[elasticsearch.type]] section name is enclosed in double brackets? This indicates it’s a repeated element. You can declare any number of these sections, and each one will define an additional type.

    Prefix Match

    Here’s another type definition that uses prefix matching. This time, instead of ignoring the matched documents, the connector will write them to the "airlines" index using the ingestion pipeline named "audit".

      prefix = 'airline_'
      index = 'airlines' (1)
      pipeline = 'audit' (2)
    1 Matching documents will be written to this Elasticsearch index.
    2 A pipeline lets you apply additional processing to a document before it is indexed.
    Specifying the empty string ('') as the prefix will match any document.

    Regular Expression Match

    Now let’s look at a type definition that matches document IDs using a Java regular expression instead of a literal prefix.

      regex = '.*port_.*' (1)
      index = 'ports'
    1 Matches "airport_sfo", "seaport_oakland", etc.

    Index Inference

    Finally, here’s the promised example of using a regular expression with a capturing group named "index" to set the index based on document ID.

      regex = '(?<index>.+?)::.*' (1)
    1 Matches IDs that start with one or more characters followed by "::". It directs "user::alice" to index "user", and "foo::bar::123" to index "foo".

    Custom Routing and Parent/Child Relationships

    This section describes an "uncommited" feature introduced in version 4.0.1 of the connector. Until the feature is promoted to "committed" status, it may be changed or removed in a future patch version without advance notice.

    In the travel-sample data model, a route is the child of an airline. Each sample route document has an airlineid field whose value is the ID of its parent airline document.

    If you tell Elasticsearch that airlineid is a join field, you can take advantage of this relationship when searching. For this to work, the connector must save each child document to the same Elasticsearch index and shard as its parent.

      prefix = 'route_' (1)
      index = 'airlines' (2)
      routing = '/airlineid' (3)
      ignoreDeletes = true (4)
    1 It’s just a coincidence that airline route documents are being used to demonstrate custom routing.
    2 Must specify the same index as parent document.
    3 A JSON pointer to the field to use for Elasticsearch routing. This is how the child document gets routed to the same shard as its parent.
    4 The connector is unable to delete documents that use custom routing, so ignoreDeletes must always be true for child documents.

    Rejection Log

    When Elasticsearch rejects a document (usually due to a type mapping error) the connector writes a rejection log entry document to Elasticsearch. The log entry’s document ID is the ID of the rejected Couchbase document.

    Table 1. Rejection Log Entry Fields
    Field Name Type Description



    Name of the index the connector failed to write to



    Document type name used for the write attempt



    Failed action type ("INDEX" or "DELETE")



    Error message received from Elasticsearch

    Related configuration properties:

      index = 'cbes-rejects' (1)
      typeName = '_doc' (2)
    1 Rejection log entries are written to this index.
    2 This Elasticsearch type will be assigned to the documents.
    If you’re running multiple connector groups, you may wish to use a separate rejection log index for each group.

    Environment Variables

    This section describes an "uncommited" feature introduced in version 4.0.1 of the connector. Until the feature is promoted to "committed" status, it may be changed or removed in a future patch version without advance notice.

    The connector configuration may reference environment variables.

    Variable substitution happens in a separate step before the TOML is parsed. Values are replaced verbatim, without regard to context. When using variables in string values, make sure the result conforms to the the TOML string syntax.

    Here’s an example with completely made up config properties, and placeholders that reference environment variables NAME, AGE, and FAVORITE_COLOR:

    name = '${NAME}' (1)
    age = ${AGE}
    favoriteColor = '${FAVORITE_COLOR:blue}' (2)
    1 Alternatively, you could write name = ${NAME} and include the quotes in value of the environment variable.
    2 A colon in the placeholder separates the environment variable name from the default value to use if the variable is not set. If the FAVORITE_COLOR environment variable is set, its value will be used. Otherwise, the specified default value blue will be used.