Kafka to Elasticsearch

BladePipe supports data replication from Kafka to Elasticsearch. View supported migration, sync, verification, and connector capabilities.

Target DataSource：

Elasticsearch

Connection

Function	Description
Incremental Data Sync	Allow subscribing to messages from the source Topic and transforming them into DML operations, namely, INSERT, UPDATE, DELETE.
Subscription Modification	Add, delete, or modify the subscribed topics. For more information, see Modify Subscription.
Position Resetting	Reset positions by timestamp to consume the data in a past period again.

Function	Description
Message Format	The following message formats are supported. See Message Format. CloudCanal format AlibabaCanal format
Removal of Target Data before Full Data Migration	Remove the existing data in the Target before running the Full Data Migration, applicable for DataJobs reruning and scheduled Full Data migrations.
Recreating Target Table	Recreate target tables before running the Full Data Migration, applicable for DataJobs reruning and scheduled Full Data migrations.
Format of Time Written to ES	Time is written to Elasticsearch in the format of the first time record of the field, or yyyy-MM-dd'T'HH:mm:ss if no time format is set.
Setting ES Time Zone	The time zone setting on the page will be written to Elasticsearch only when the time zone format is ZZZZZ.
Pre-Creation of Index in the Target	Automatic index creation is not supported when moving data from Kafka/AutoMQ to Elasticsearch.
Setting Target Primary Key	Change the primary key to another field to facilitate data aggregation and other operations.

Limit	Description
Creating Tables in the Target in Advance	Only support automatic Topic creation for messages.
Raw Message Format	Only support raw message replication from Kafka to Kafka, and Raw Message Format needs to be selected at both the Source and the Target.

Prerequisite	Description
Port Preparation	Allow the migration and sync node (Worker) to connect to the Kafka ports.

Parameter	Description
schemaFormat	MQ Message format. For more information, see Message Format.
consumerGroupId	Kafka consumer group ID.
consumeParallel	Degree of consuming Kafka topics in parallel.
sessionTimeoutMs	Kafka session timeout in milliseconds.
maxPollRecords	Maximum number of messages fetched in one poll from Kafka.
dbHeartbeatIntervalSec	Interval for initiating heartbeat on the source database.
dbHeartbeatToleranceStep	The threshold of gap between the latest offset and the current offset. If the actual gap is bigger than the threshold, BladePipe won‘t send heartbeat message.
customClientProps	Custom properties passed to the Kafka client in JSON format. The key is the parameter name and the value is the parameter value. This setting takes the highest priority. For example: AWS IAM Access Control

Tips: To modify the general parameters, see General Parameters and Functions.

Prerequisite	Description
Permissions for Account	create, delete, create_index, delete_index, read, write permissions for indexes.
Port Preparation	Allow the migration and sync node (Worker) to connect to the Elasticsearch port.

Parameter	Description
maxBulkSizeMb	Maximum batch size per table; If the batch size exceeds this limit, then data is flushed to the write queue.
totalDataInMemMb	Maximum data size allowed in memory when writing in batches; If the data size exceeds the memory limit, or the wait time exceeds asyncFlushIntervalSec, then data is flushed to the write queue.
asyncFlushIntervalSec	Interval to wait for flushing when writing in batches; If the wait time exceeds asyncFlushIntervalSec, or the data size exceeds totalDataInMemMb, then data is flushed to the write queue.
realFlushPauseSec	Wait time to flush data to ElasticSearch using Bulk Write. 0 means no wait is needed.
pkSeparator	Separator for concatenating _id (number of fields > 1).
enableBulkSizeThreshold	Enable batch write mode (enabled by default).

Tips: To modify the general parameters, see General Parameters and Functions.