Kafka JDBC Sink Connector，批量插入值

Question

I receive a lot of the messages (by http-protocol) per second (50000 - 100000) and want to save them to PostgreSql. I decided to use Kafka JDBC Sink for this purpose.

The messages are saved to database by one record, not in batches. I want to insert records in PostgreSQL in batches with size 500-1000 records.

I found some answers on this problem in issue: How to use batch.size?

I tried to use related options in configuration, but it seems that they no have any effect.

My Kafka JDBC Sink PostgreSql configuration ( etc/kafka-connect-jdbc/postgres.properties ):

name=test-sink
connector.class=io.confluent.connect.jdbc.JdbcSinkConnector
tasks.max=3

# The topics to consume from - required for sink connectors like this one
topics=jsonb_pkgs

connection.url=jdbc:postgresql://localhost:5432/test?currentSchema=test
auto.create=false
auto.evolve=false

insert.mode=insert
connection.user=postgres
table.name.format=${topic}

connection.password=pwd

batch.size=500
# based on 500*3000byte message size
fetch.min.bytes=1500000
fetch.wait.max.ms=1500
max.poll.records=4000

I also added options to connect-distributed.properties :

consumer.fetch.min.bytes=1500000
consumer.fetch.wait.max.ms=1500

Although each a partition gets more than 1000 records per second, records are saved to PostgreSQL by one.

Edit: consumer options were added in other file with correct names

I also added options to etc/schema-registry/connect-avro-standalone.properties :

# based on 500*3000 byte message size
consumer.fetch.min.bytes=1500000
consumer.fetch.wait.max.ms=1500
consumer.max.poll.records=4000

Answer 1

I realised that I misunderstood the documentation. The records are inserted in database one by one. The count of the records inserted in one transaction depends on batch.size and consumer.max.poll.records . I expected that the batch insert was implemented the other way. I would like to have an option to insert records like this:

INSERT INTO table1 (First, Last)
VALUES
    ('Fred', 'Smith'),
    ('John', 'Smith'),
    ('Michael', 'Smith'),
    ('Robert', 'Smith');

But that seems impossible.