Unfortunately using row_ts doesn't help. Setting the kafka
topic cleanup.policy to compact is not a very good idea as it increases
cpu, memory and might lead to other problems.
So for now I'll just ignore the null records. Is there anyone who is
successfully deduplicating CDC records into either ka
My JAR files included in the same folder i run the python code:
flink-connector-kafka_2.11-1.13-SNAPSHOT.JAR
flink-sql-connector-kafka_2.11-1.13-SNAPSHOT.JAR
kafka-clients-2.7.0.JAR
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Hi Pilgrim,
Currently table indeed could not using low level api like timer, would a
mixture of sql & datastream
could satisfy the requirements? A job might be created via multiple sqls, and
connected via datastream
operations.
Best,
Yun
---
Hi,
Could you have a try to add the jar via python configuration explicitly? It
might refer to [1].
Best,
Yun
[1]https://ci.apache.org/projects/flink/flink-docs-master/dev/python/table-api-users-guide/dependency_management.html#java-dependency-in-python-program
-
Hello,
I am creating a class that extends RichCoFlatMapFunction. I need to connect()
two streams to basically share the state of one stream in another.
This is what I do:
private transient MapState state;
@Override
public void open(Configuration parameters) throws Exception {
MapStateDescri
>
> > is there a way I can load my own ConfigMap and specify it via the
> dynamic argument?
Flink client will automatically ship the "flink-conf.yaml" and
"log4j-console.properties" under FLINK_HOME/conf directory on the client
side.
After the application is submitted successfully, you could find
Hi everyone,
I want to connect to a proprietary data stream, which sends different types
of messages (maybe interpreted as a table), intertwined in the stream.
Every type of message (or table) can have a different schema, but for each
type this schema is known when connecting (i.e., at runtime) an
hi Yun,
thanks for the help!
if i direct the Kafka connector in the DDL to a local Kafka cluster, it
works fine. So i assume access to the JAR files should not be the issue.
This is how i referred to the JAR files from Python:
t_env.get_config().get_configuration().set_string("pipeline.jars",
"
Hi,
I am having a difficult time distinguishing the difference between
RuntimeContext state and global state when using a ProcessWindowFunction.
A ProcessWindowFunction has three access different kinds of state.
1. RuntimeContext state.
2. ProcessWindowFunction.Context global state
3. ProcessWind
Hello Flink Users,
I am newbie and have question on join of two streams (stream1 and stream2 )
from Kafka topic based on some key.
In my use case I need to join with stream2 data which might be year old and
more.
Now if on stream1 the data gets arrived today and I need to join with
stream2 base
Hello Flink Users,
Request you to please help. I am facing issue with "KafkaAvroDeserializer"
by using "upsert-kafka" connector.
Regards,
Shamit Jain
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Hello folks,
We see threads from
https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/transfer/internal/TransferManagerUtils.java#L49
outlive a batch job that writes Parquet Files to S3, causing a ClassLoader
Leak. Is this a known
(a) It is by design. For keyed state, you can only access state for that
key, not others. If you want one value per key, ValueState fits more
appropriate that MapState.
(b) state-processor-api aims to access/create/modify/upgrade offline
savepoint but not running state. Queryable state may meet you
Hello,
Thanks a lot for the response. I will try to check Queryable-state for this
purpose.
Actually, my use case is that I want to share the state of one stream in two
other streams. Right now, I can think of connecting this stream independently
with each of the two other streams and manage
Flink has broadcast state to broadcast one stream to other in case you are
not aware of it. It actually duplicates state.
1. Broadcast state:
https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/state/broadcast_state.html
Best,
Kezhu Wang
On February 10, 2021 at 13:03:36, Sandeep kh
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