debezium

how to configure debezium fields sent on update events (mongo connector)

非 Y 不嫁゛ 提交于 2019-12-24 20:59:05
问题 I want to use debezium mongo connector to: -> get events from mongo -> get them in my kafka -> read from kafka my issue is, when debezium gets update events from mongo it only sends the updated fields: The value of an update change event on this collection will actually have the exact same schema, and its payload will be structured the same but will hold different values. Specifically, an update event will not have an after value and will instead have a patch string containing the JSON

How to fix not receiving kafka messages in python but receiving the same messages in shell?

Deadly 提交于 2019-12-20 05:50:52
问题 I want to consume messages coming in a kafka topic. I am using debezium which oplogs the mongodb changes and puts them in the kafka queue. I am able to connect to kafka using my python code, list the kafka topics. Although, when I want to consume the messages, its all blank whereas the same topic when consumed from the shell gives messages, performs perfectly. from kafka import KafkaConsumer topic = "dbserver1.inventory.customers" # consumer = KafkaConsumer(topic, bootstrap_servers='localhost

Debezium flush timeout and OutOfMemoryError errors with MySQL

女生的网名这么多〃 提交于 2019-12-12 09:53:34
问题 Using Debezium 0.7 to read from MySQL but getting flush timeout and OutOfMemoryError errors in the initial snapshot phase. Looking at the logs below it seems like the connector is trying to write too many messages in one go: WorkerSourceTask{id=accounts-connector-0} flushing 143706 outstanding messages for offset commit [org.apache.kafka.connect.runtime.WorkerSourceTask] WorkerSourceTask{id=accounts-connector-0} Committing offsets [org.apache.kafka.connect.runtime.WorkerSourceTask] Exception

kafka connector debezium mongodb CDC update/$set message without filter(_id value)

送分小仙女□ 提交于 2019-12-06 14:04:12
问题 i am trying to setup syncing from mongodb to kudu with debezium mongodb connector. but as debezium doc tell and also i tried by myself and found, there are no filter(_id value) for debezium mongodb CDC update/$set message. { "after": null, "patch": "{\"$v\" : 1,\"$set\" : {\"_upts_ratio_average_points\" : {\"$numberLong\" : \"1564645156749\"},\"updatets\" : {\"$numberLong\" : \"1564645156749\"}}}", "source": { "version": "0.9.5.Final", "connector": "mongodb", "name": "promongodbdeb05", "rs":

Debezium flush timeout and OutOfMemoryError errors with MySQL

心已入冬 提交于 2019-12-05 18:37:19
Using Debezium 0.7 to read from MySQL but getting flush timeout and OutOfMemoryError errors in the initial snapshot phase. Looking at the logs below it seems like the connector is trying to write too many messages in one go: WorkerSourceTask{id=accounts-connector-0} flushing 143706 outstanding messages for offset commit [org.apache.kafka.connect.runtime.WorkerSourceTask] WorkerSourceTask{id=accounts-connector-0} Committing offsets [org.apache.kafka.connect.runtime.WorkerSourceTask] Exception in thread "RMI TCP Connection(idle)" java.lang.OutOfMemoryError: Java heap space WorkerSourceTask{id

kafka connector debezium mongodb CDC update/$set message without filter(_id value)

北慕城南 提交于 2019-12-04 19:10:10
i am trying to setup syncing from mongodb to kudu with debezium mongodb connector. but as debezium doc tell and also i tried by myself and found, there are no filter(_id value) for debezium mongodb CDC update/$set message. { "after": null, "patch": "{\"$v\" : 1,\"$set\" : {\"_upts_ratio_average_points\" : {\"$numberLong\" : \"1564645156749\"},\"updatets\" : {\"$numberLong\" : \"1564645156749\"}}}", "source": { "version": "0.9.5.Final", "connector": "mongodb", "name": "promongodbdeb05", "rs": "mgset-13056897", "ns": "strtest.mg_jsd_result_all", "sec": 1564645156, "ord": 855, "h":

Is it possible in Debezium to configure table_name => kafka topic mapping?

橙三吉。 提交于 2019-12-04 05:54:47
问题 I've read http://debezium.io/docs/connectors/mysql/ but I could not find any info about whether debezium can be configured so that changes from 2 (or more) tables could be written to the same, single kafka topic? It seems to me that it is always 1 table -> 1 topic. 回答1: Yes, use Single Message Transforms, per the link you identified. You can use regular expressions (regex) to map the tables to the topic required. Both io.debezium.transforms.ByLogicalTableRouter or org.apache.kafka.connect

How to deserialize BigDecimal value received from kafka broker through debezium CDC mechanism?

↘锁芯ラ 提交于 2019-12-02 17:30:28
问题 I have a couple of microservices developed using spring boot and each has its own Postgres database. These microservices exchange data with a CDC mechanism provided by debezium platform through kafka broker and kafka connect. I have a microservice A that stores some entities with a BigDecimal attribute. Another microservice B depends on the data stored by A so it gets it through kafka topics as a message like the following: "after":{"id":"267e8ba0-4986-447d-8328-315c839875c3","coefficient":

Is it possible in Debezium to configure table_name => kafka topic mapping?

坚强是说给别人听的谎言 提交于 2019-12-02 11:53:11
I've read http://debezium.io/docs/connectors/mysql/ but I could not find any info about whether debezium can be configured so that changes from 2 (or more) tables could be written to the same, single kafka topic? It seems to me that it is always 1 table -> 1 topic. Yes, use Single Message Transforms , per the link you identified. You can use regular expressions (regex) to map the tables to the topic required. Both io.debezium.transforms.ByLogicalTableRouter or org.apache.kafka.connect.transforms.RegexRouter should do the trick. There's an example of the latter in this post here : "transforms":

How to fix not receiving kafka messages in python but receiving the same messages in shell?

亡梦爱人 提交于 2019-12-02 11:28:19
I want to consume messages coming in a kafka topic. I am using debezium which oplogs the mongodb changes and puts them in the kafka queue. I am able to connect to kafka using my python code, list the kafka topics. Although, when I want to consume the messages, its all blank whereas the same topic when consumed from the shell gives messages, performs perfectly. from kafka import KafkaConsumer topic = "dbserver1.inventory.customers" # consumer = KafkaConsumer(topic, bootstrap_servers='localhost:9092', auto_offset_reset='earliest', auto_commit_enable=True) consumer = KafkaConsumer(topic) print(