Exactly Once Semantics KAFKA Possible Claim
Regarding Confluent Blog
Exactly-once Semantics are Possible: Here’s How Kafka Does it
Exactly once semantics: even if a producer retries sending a message, it leads to the message being delivered exactly once to the end consumer. Exactly-once semantics is the most desirable guarantee, but also a poorly understood one. This is because it requires a cooperation between the messaging system itself and the application producing and consuming the messages. For instance, if after consuming a message successfully you rewind your Kafka consumer to a previous offset, you will receive all the messages from that offset to the latest one, all over again. This shows why the messaging system and the client application must cooperate to make exactly-once semantics happen.
My understanding is that title and message of the above conflict. Am I right or not?
On my last posting it was stated by the KAFKA folks that Confluent takes care of all these things. So, am I to assume that using Kafka Connect with Confluent means I will get Exactly Once behaviour guaranteed, or not?
apache-kafka
edited Nov 23 at 8:11
cricket_007
79.1k1142109
asked Nov 22 at 19:54
thebluephantom
2,3902925
|
show 4 more comments
Regarding Confluent Blog
Exactly-once Semantics are Possible: Here’s How Kafka Does it
Exactly once semantics: even if a producer retries sending a message, it leads to the message being delivered exactly once to the end consumer. Exactly-once semantics is the most desirable guarantee, but also a poorly understood one. This is because it requires a cooperation between the messaging system itself and the application producing and consuming the messages. For instance, if after consuming a message successfully you rewind your Kafka consumer to a previous offset, you will receive all the messages from that offset to the latest one, all over again. This shows why the messaging system and the client application must cooperate to make exactly-once semantics happen.
My understanding is that title and message of the above conflict. Am I right or not?
On my last posting it was stated by the KAFKA folks that Confluent takes care of all these things. So, am I to assume that using Kafka Connect with Confluent means I will get Exactly Once behaviour guaranteed, or not?
apache-kafka
edited Nov 23 at 8:11
cricket_007
79.1k1142109
asked Nov 22 at 19:54
thebluephantom
2,3902925
Kafka Connect isn't specific to Confluent... It's up to the Source/Sink Connector to implement offset storage for reading/storing data exactly once... The blog post was not calling out Connect, though, rather the Producer/Consumer, and, by extension Kafka Streams API
– cricket_007
Nov 23 at 1:47
I am aware on the Connect and Confluent point. It was simply a related question and valid one. But more importantly do I have a point on the question? I think so... @cricket_007
– thebluephantom
Nov 23 at 5:51
1
It's not clear which connector you are referring to. The HDFS and S3 Sinks claim to have exactly once delivery, and sinks are easier to configure that than sources because you can track the consumed offsets, as with any Kafka consumer client... For JDBC Source, for example, you really only get Primary Key scans or timestamp tracking; if you use Bulk mode, then you are repeatedly scanning the database, and you get duplicates. Plus see issues.apache.org/jira/browse/KAFKA-6080
– cricket_007
Nov 23 at 7:48
Also youtu.be/CeDivZQvdcs?t=301, and all the other KIPs and whitepapers about it...
– cricket_007
Nov 23 at 7:57
1
"Here's how Kafka does it ... by adding some client properties which be understood by the messaging system and the client applications. i.e. Kafka isn't only the brokers. The clients must address the issue as well. Spark and Flink, for example, have external offset storage, and can de-dupe messages on their own using somedistinctfunctions.
– cricket_007
Nov 23 at 8:19
|
show 4 more comments
Regarding Confluent Blog
Exactly-once Semantics are Possible: Here’s How Kafka Does it
Exactly once semantics: even if a producer retries sending a message, it leads to the message being delivered exactly once to the end consumer. Exactly-once semantics is the most desirable guarantee, but also a poorly understood one. This is because it requires a cooperation between the messaging system itself and the application producing and consuming the messages. For instance, if after consuming a message successfully you rewind your Kafka consumer to a previous offset, you will receive all the messages from that offset to the latest one, all over again. This shows why the messaging system and the client application must cooperate to make exactly-once semantics happen.
My understanding is that title and message of the above conflict. Am I right or not?
On my last posting it was stated by the KAFKA folks that Confluent takes care of all these things. So, am I to assume that using Kafka Connect with Confluent means I will get Exactly Once behaviour guaranteed, or not?
apache-kafka
edited Nov 23 at 8:11
cricket_007
79.1k1142109
asked Nov 22 at 19:54
thebluephantom
2,3902925
Regarding Confluent Blog
Exactly-once Semantics are Possible: Here’s How Kafka Does it
Exactly once semantics: even if a producer retries sending a message, it leads to the message being delivered exactly once to the end consumer. Exactly-once semantics is the most desirable guarantee, but also a poorly understood one. This is because it requires a cooperation between the messaging system itself and the application producing and consuming the messages. For instance, if after consuming a message successfully you rewind your Kafka consumer to a previous offset, you will receive all the messages from that offset to the latest one, all over again. This shows why the messaging system and the client application must cooperate to make exactly-once semantics happen.
My understanding is that title and message of the above conflict. Am I right or not?
On my last posting it was stated by the KAFKA folks that Confluent takes care of all these things. So, am I to assume that using Kafka Connect with Confluent means I will get Exactly Once behaviour guaranteed, or not?
apache-kafka
apache-kafka
edited Nov 23 at 8:11
cricket_007
79.1k1142109
asked Nov 22 at 19:54
thebluephantom
2,3902925
edited Nov 23 at 8:11
cricket_007
79.1k1142109
asked Nov 22 at 19:54
thebluephantom
2,3902925
edited Nov 23 at 8:11
cricket_007
79.1k1142109
edited Nov 23 at 8:11
cricket_007
79.1k1142109
edited Nov 23 at 8:11
cricket_007
79.1k1142109
79.1k1142109
asked Nov 22 at 19:54
thebluephantom
2,3902925
asked Nov 22 at 19:54
thebluephantom
2,3902925
asked Nov 22 at 19:54
thebluephantom
2,3902925
2,3902925
Kafka Connect isn't specific to Confluent... It's up to the Source/Sink Connector to implement offset storage for reading/storing data exactly once... The blog post was not calling out Connect, though, rather the Producer/Consumer, and, by extension Kafka Streams API
– cricket_007
Nov 23 at 1:47
I am aware on the Connect and Confluent point. It was simply a related question and valid one. But more importantly do I have a point on the question? I think so... @cricket_007
– thebluephantom
Nov 23 at 5:51
1
It's not clear which connector you are referring to. The HDFS and S3 Sinks claim to have exactly once delivery, and sinks are easier to configure that than sources because you can track the consumed offsets, as with any Kafka consumer client... For JDBC Source, for example, you really only get Primary Key scans or timestamp tracking; if you use Bulk mode, then you are repeatedly scanning the database, and you get duplicates. Plus see issues.apache.org/jira/browse/KAFKA-6080
– cricket_007
Nov 23 at 7:48
Also youtu.be/CeDivZQvdcs?t=301, and all the other KIPs and whitepapers about it...
– cricket_007
Nov 23 at 7:57
1
"Here's how Kafka does it ... by adding some client properties which be understood by the messaging system and the client applications. i.e. Kafka isn't only the brokers. The clients must address the issue as well. Spark and Flink, for example, have external offset storage, and can de-dupe messages on their own using somedistinctfunctions.
– cricket_007
Nov 23 at 8:19
|
show 4 more comments
Kafka Connect isn't specific to Confluent... It's up to the Source/Sink Connector to implement offset storage for reading/storing data exactly once... The blog post was not calling out Connect, though, rather the Producer/Consumer, and, by extension Kafka Streams API
– cricket_007
Nov 23 at 1:47
I am aware on the Connect and Confluent point. It was simply a related question and valid one. But more importantly do I have a point on the question? I think so... @cricket_007
– thebluephantom
Nov 23 at 5:51
1
It's not clear which connector you are referring to. The HDFS and S3 Sinks claim to have exactly once delivery, and sinks are easier to configure that than sources because you can track the consumed offsets, as with any Kafka consumer client... For JDBC Source, for example, you really only get Primary Key scans or timestamp tracking; if you use Bulk mode, then you are repeatedly scanning the database, and you get duplicates. Plus see issues.apache.org/jira/browse/KAFKA-6080
– cricket_007
Nov 23 at 7:48
Also youtu.be/CeDivZQvdcs?t=301, and all the other KIPs and whitepapers about it...
– cricket_007
Nov 23 at 7:57
1
"Here's how Kafka does it ... by adding some client properties which be understood by the messaging system and the client applications. i.e. Kafka isn't only the brokers. The clients must address the issue as well. Spark and Flink, for example, have external offset storage, and can de-dupe messages on their own using somedistinctfunctions.
– cricket_007
Nov 23 at 8:19
Kafka Connect isn't specific to Confluent... It's up to the Source/Sink Connector to implement offset storage for reading/storing data exactly once... The blog post was not calling out Connect, though, rather the Producer/Consumer, and, by extension Kafka Streams API
– cricket_007
Nov 23 at 1:47
Kafka Connect isn't specific to Confluent... It's up to the Source/Sink Connector to implement offset storage for reading/storing data exactly once... The blog post was not calling out Connect, though, rather the Producer/Consumer, and, by extension Kafka Streams API
– cricket_007
Nov 23 at 1:47
I am aware on the Connect and Confluent point. It was simply a related question and valid one. But more importantly do I have a point on the question? I think so... @cricket_007
– thebluephantom
Nov 23 at 5:51
I am aware on the Connect and Confluent point. It was simply a related question and valid one. But more importantly do I have a point on the question? I think so... @cricket_007
– thebluephantom
Nov 23 at 5:51
1
1
It's not clear which connector you are referring to. The HDFS and S3 Sinks claim to have exactly once delivery, and sinks are easier to configure that than sources because you can track the consumed offsets, as with any Kafka consumer client... For JDBC Source, for example, you really only get Primary Key scans or timestamp tracking; if you use Bulk mode, then you are repeatedly scanning the database, and you get duplicates. Plus see issues.apache.org/jira/browse/KAFKA-6080
– cricket_007
Nov 23 at 7:48
It's not clear which connector you are referring to. The HDFS and S3 Sinks claim to have exactly once delivery, and sinks are easier to configure that than sources because you can track the consumed offsets, as with any Kafka consumer client... For JDBC Source, for example, you really only get Primary Key scans or timestamp tracking; if you use Bulk mode, then you are repeatedly scanning the database, and you get duplicates. Plus see issues.apache.org/jira/browse/KAFKA-6080
– cricket_007
Nov 23 at 7:48
Also youtu.be/CeDivZQvdcs?t=301, and all the other KIPs and whitepapers about it...
– cricket_007
Nov 23 at 7:57
Also youtu.be/CeDivZQvdcs?t=301, and all the other KIPs and whitepapers about it...
– cricket_007
Nov 23 at 7:57
1
1
"Here's how Kafka does it ... by adding some client properties which be understood by the messaging system and the client applications. i.e. Kafka isn't only the brokers. The clients must address the issue as well. Spark and Flink, for example, have external offset storage, and can de-dupe messages on their own using some
distinct functions.– cricket_007
Nov 23 at 8:19
"Here's how Kafka does it ... by adding some client properties which be understood by the messaging system and the client applications. i.e. Kafka isn't only the brokers. The clients must address the issue as well. Spark and Flink, for example, have external offset storage, and can de-dupe messages on their own using some
distinct functions.– cricket_007
Nov 23 at 8:19
|
show 4 more comments
1 Answer
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There is still work to do on Client side. By their (Confluent's) own admission, the claim that Kafka does it, is a little too optimistic. cricket_007 alludes and confirms my point of view where exactly-once semantics are concerned.
answered Dec 9 at 16:25
thebluephantom
2,3902925
add a comment |
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There is still work to do on Client side. By their (Confluent's) own admission, the claim that Kafka does it, is a little too optimistic. cricket_007 alludes and confirms my point of view where exactly-once semantics are concerned.
answered Dec 9 at 16:25
thebluephantom
2,3902925
add a comment |
There is still work to do on Client side. By their (Confluent's) own admission, the claim that Kafka does it, is a little too optimistic. cricket_007 alludes and confirms my point of view where exactly-once semantics are concerned.
answered Dec 9 at 16:25
thebluephantom
2,3902925
add a comment |
There is still work to do on Client side. By their (Confluent's) own admission, the claim that Kafka does it, is a little too optimistic. cricket_007 alludes and confirms my point of view where exactly-once semantics are concerned.
answered Dec 9 at 16:25
thebluephantom
2,3902925
There is still work to do on Client side. By their (Confluent's) own admission, the claim that Kafka does it, is a little too optimistic. cricket_007 alludes and confirms my point of view where exactly-once semantics are concerned.
answered Dec 9 at 16:25
thebluephantom
2,3902925
answered Dec 9 at 16:25
thebluephantom
2,3902925
answered Dec 9 at 16:25
thebluephantom
2,3902925
answered Dec 9 at 16:25
thebluephantom
2,3902925
2,3902925
add a comment |
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Kafka Connect isn't specific to Confluent... It's up to the Source/Sink Connector to implement offset storage for reading/storing data exactly once... The blog post was not calling out Connect, though, rather the Producer/Consumer, and, by extension Kafka Streams API
– cricket_007
Nov 23 at 1:47
I am aware on the Connect and Confluent point. It was simply a related question and valid one. But more importantly do I have a point on the question? I think so... @cricket_007
– thebluephantom
Nov 23 at 5:51
1
It's not clear which connector you are referring to. The HDFS and S3 Sinks claim to have exactly once delivery, and sinks are easier to configure that than sources because you can track the consumed offsets, as with any Kafka consumer client... For JDBC Source, for example, you really only get Primary Key scans or timestamp tracking; if you use Bulk mode, then you are repeatedly scanning the database, and you get duplicates. Plus see issues.apache.org/jira/browse/KAFKA-6080
– cricket_007
Nov 23 at 7:48
Also youtu.be/CeDivZQvdcs?t=301, and all the other KIPs and whitepapers about it...
– cricket_007
Nov 23 at 7:57
1
"Here's how Kafka does it ... by adding some client properties which be understood by the messaging system and the client applications. i.e. Kafka isn't only the brokers. The clients must address the issue as well. Spark and Flink, for example, have external offset storage, and can de-dupe messages on their own using some
distinctfunctions.– cricket_007
Nov 23 at 8:19