@ -1689,8 +1689,8 @@ queue:
acks: "${TB_KAFKA_ACKS:all}"
# Number of retries. Resend any record whose send fails with a potentially transient error
retries: "${TB_KAFKA_RETRIES:1}"
# The compression type for all data generated by the producer. The default is none (i.e. no compression). Valid values none or gzip
compression.type: "${TB_KAFKA_COMPRESSION_TYPE:none}" # none or gzip
# The compression type for all data generated by the producer. The default is none (i.e. no compression). Valid values: none, gzip or lz4
compression.type: "${TB_KAFKA_COMPRESSION_TYPE:none}" # none, gzip or lz4
# Default batch size. This setting gives the upper bound of the batch size to be sent
batch.size: "${TB_KAFKA_BATCH_SIZE:16384}"
# This variable creates a small amount of artificial delay—that is, rather than immediately sending out a record
@ -103,8 +103,8 @@ queue:
@ -34,7 +34,7 @@ kafka:
partitions_consumed_concurrently: "TB_KAFKA_PARTITIONS_CONSUMED_CONCURRENTLY" # (EXPERIMENTAL) increase this value if you are planning to handle more than one partition (scale up, scale down) - this will decrease the latency
requestTimeout: "TB_QUEUE_KAFKA_REQUEST_TIMEOUT_MS"
connectionTimeout: "TB_KAFKA_CONNECTION_TIMEOUT_MS"
compression: "TB_QUEUE_KAFKA_COMPRESSION" # gzip or uncompressed
compression: "TB_QUEUE_KAFKA_COMPRESSION" # gzip, lz4 or none
topic_properties: "TB_QUEUE_KAFKA_JE_TOPIC_PROPERTIES"
use_confluent_cloud: "TB_QUEUE_KAFKA_USE_CONFLUENT_CLOUD"
client_id: "KAFKA_CLIENT_ID" #inject pod name to easy identify the client using /opt/kafka/bin/kafka-consumer-groups.sh
@ -73,7 +73,7 @@ queue:
@ -285,8 +285,8 @@ queue:
@ -235,7 +235,7 @@ queue:
@ -335,8 +335,8 @@ queue:
@ -268,8 +268,8 @@ queue:
@ -207,8 +207,8 @@ queue: