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License: Apache License 2.0
Kafka Connect Cassandra Connector. This project includes source/sink connectors for Cassandra to/from Kafka.
License: Apache License 2.0
I am trying to migrate my data from cassandra to elastic. I have two fields in my cassandra table i:e
technify_id which is string and products which is frozen which I created like this
CREATE TABLE technify.product12 (
technify_id text PRIMARY KEY,
products frozen<product>
)
The definition of frozen product is below:
CREATE TYPE technify.product (
additional_images list<frozen<additionalimages>>,
brand text,
brand_id text,
description text,
entity text,
height text,
id_uuid text,
image text,
length text,
manufacturer_id text,
meta_description text,
meta_keyword text,
meta_title text,
minimum text,
model text,
name text,
options list<frozen<options>>,
price text,
product_attributes list<frozen<product_attribute>>,
product_categories list<text>,
product_specials list<frozen<product_special>>,
product_url text,
quantity text,
shipping text,
sku text,
sort_order text,
status text,
store_date_added text,
store_date_available text,
store_date_modified text,
store_id text,
store_product_id text,
tag text,
tax_class_id text,
viewed text,
weight text,
width text
)
I made a cassandra source connector with following configurations in distributed mode which is working fine:
{
"connector.class": "com.datamountaineer.streamreactor.connect.cassandra.source.CassandraSourceConnector",
"connect.cassandra.key.space": "technify",
"tasks.max": "2",
"topics": "yousuf_replicate",
"connect.cassandra.kcql": "UPSERT INTO yousuf_replicate SELECT products,technify_id FROM product12 pk technify_id",
"connect.cassandra.password": "5Rivers..",
"connect.cassandra.username": "farhan",
"key.converter.schemas.enable": "true",
"connect.cassandra.contact.points": "10.0.0.242,10.0.0.243",
"connect.cassandra.port": "9042",
"name": "CassandraYousufReplicateSourceConnector",
"value.converter.schemas.enable": "true",
"value.converter": "org.apache.kafka.connect.json.JsonConverter",
"key.converter": "org.apache.kafka.connect.json.JsonConverter"
}
And this is the data what I am getting in my topic,
{
"topic": "yousuf_replicate",
"key": {
"schema": null,
"payload": null
},
"value": {
"schema": {
"type": "struct",
"fields": [
{
"type": "string",
"optional": true,
"field": "products"
},
{
"type": "string",
"optional": true,
"field": "technify_id"
}
],
"optional": false,
"name": "technify.product12"
},
"payload": {
"products": "{additional_images:[{image:'asdasd',product_image_id:'asdasd',store_product_id:'asdasdas'}],brand:'asdasdsad',brand_id:'asdasd',description:'asdasdasddas',entity:'asdasd',height:'asdasdas',id_uuid:'asdasd',image:'asdasd',length:'asdasdasd',manufacturer_id:'asdasd',meta_description:'asdasd',meta_keyword:'asdasd',meta_title:'asdasdasd',minimum:'asdasd',model:'asdasd',name:'ASDas',options:[{product_option_id:'asdasdas',product_option_value:{{name:'asdasd',quantity:'asdasd',option_value_id:'asdasd',price:'asdas',product_option_value_id:'asdads',price_prefix:'asddas',weight:'asdasdas',weight_prefix:'asdasd'}},name:'asdasd',option_id:'asdasd',value:'asdasd',required:'aasdasd'}],price:'asdasda',product_attributes:[{attribute_id:'asdasd',text:'asdads'}],product_categories:['abc','abs'],product_specials:[{date_start:'asdasd',price:'asdasd',product_special_id:'aadsadsas',date_end:'asdasdx'}],product_url:'asdasd',quantity:'asdasda',shipping:'asdasd',sku:'asdasd',sort_order:'asdasd',status:'asasdasd',store_date_added:'asdasdasd',store_date_available:'dadsaasd',store_date_modified:'asdasd',store_id:'12ads',store_product_id:'asdasdqw',tag:'asdasda',tax_class_id:'asdasdas',viewed:'asdasd',weight:'aas',width:'asdasd'}",
"technify_id": "asdada34"
}
},
"partition": 0,
"offset": 0
},
Note that I am receiving string format in 'products' field but I was expecting it in json or struct form.
However, then I made an elastic source connector because I want to maintain data in elastic as well, I made that connector by following @simplesteph's tutorial and he suggested me to open an issue here
Following are the configuration of elastic search sink connector:
{
"connector.class": "com.datamountaineer.streamreactor.connect.elastic.ElasticSinkConnector",
"type.name": "kafka-connect",
"topics": "yousuf_replicate",
"tasks.max": "2",
"connect.elastic.url.prefix": "elasticsearch",
"connect.elastic.cluster.name": "elasticsearch",
"key.ignore": "true",
"key.converter.schemas.enable": "true",
"connect.elastic.sink.kcql": "UPSERT INTO yousuf_test SELECT * from yousuf_replicate PK technify_id",
"connect.elastic.url": "elasticsearch://localhost:9300",
"value.converter.schemas.enable": "true",
"name": "ElasticYousufSinkConnector",
"value.converter": "org.apache.kafka.connect.json.JsonConverter",
"key.converter": "org.apache.kafka.connect.json.JsonConverter"
}
and this is what I am getting in elasticsearch
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [{
"_index": "yousuf_test",
"_type": "yousuf_test",
"_id": "asdada34",
"_score": 1,
"_source": {
"products": "{additional_images:[{image:'asdasd',product_image_id:'asdasd',store_product_id:'asdasdas'}],brand:'asdasdsad',brand_id:'asdasd',description:'asdasdasddas',entity:'asdasd',height:'asdasdas',id_uuid:'asdasd',image:'asdasd',length:'asdasdasd',manufacturer_id:'asdasd',meta_description:'asdasd',meta_keyword:'asdasd',meta_title:'asdasdasd',minimum:'asdasd',model:'asdasd',name:'ASDas',options:[{product_option_id:'asdasdas',product_option_value:{{name:'asdasd',quantity:'asdasd',option_value_id:'asdasd',price:'asdas',product_option_value_id:'asdads',price_prefix:'asddas',weight:'asdasdas',weight_prefix:'asdasd'}},name:'asdasd',option_id:'asdasd',value:'asdasd',required:'aasdasd'}],price:'asdasda',product_attributes:[{attribute_id:'asdasd',text:'asdads'}],product_categories:['abc','abs'],product_specials:[{date_start:'asdasd',price:'asdasd',product_special_id:'aadsadsas',date_end:'asdasdx'}],product_url:'asdasd',quantity:'asdasda',shipping:'asdasd',sku:'asdasd',sort_order:'asdasd',status:'asasdasd',store_date_added:'asdasdasd',store_date_available:'dadsaasd',store_date_modified:'asdasd',store_id:'12ads',store_product_id:'asdasdqw',tag:'asdasda',tax_class_id:'asdasdas',viewed:'asdasd',weight:'aas',width:'asdasd'}",
"technify_id": "asdada34"
}
}]
}
}
What i expected is that the products field will be in json in elasticsearch.
Please guide me what I have to do to get data in json in elastic.
Hi! I try to use your connector but I have some problem. It's null pointer exception.
In configs I use this values:
key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
key.converter.schemas.enable=false
value.converter.schemas.enable=false
source connector works fine, but sink connector doesn't.
There are logs:
[2016-06-22 17:32:30,469] ERROR Task cassandra-sink-connector-0 threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerSinkTask:390)
java.lang.NullPointerException
at com.tuplejump.kafka.connect.cassandra.package$SchemaOps.asColumnNames(package.scala:116)
at com.tuplejump.kafka.connect.cassandra.package$SinkRecordOps.as(package.scala:74)
at com.tuplejump.kafka.connect.cassandra.CassandraSinkTask$$anonfun$com$tuplejump$kafka$connect$cassandra$CassandraSinkTask$$write$1.apply(CassandraSinkTask.scala:55)
at com.tuplejump.kafka.connect.cassandra.CassandraSinkTask$$anonfun$com$tuplejump$kafka$connect$cassandra$CassandraSinkTask$$write$1.apply(CassandraSinkTask.scala:54)
at scala.collection.immutable.List.foreach(List.scala:381)
at com.tuplejump.kafka.connect.cassandra.CassandraSinkTask.com$tuplejump$kafka$connect$cassandra$CassandraSinkTask$$write(CassandraSinkTask.scala:54)
at com.tuplejump.kafka.connect.cassandra.CassandraSinkTask$$anonfun$put$1.apply(CassandraSinkTask.scala:48)
at com.tuplejump.kafka.connect.cassandra.CassandraSinkTask$$anonfun$put$1.apply(CassandraSinkTask.scala:46)
at scala.collection.immutable.List.foreach(List.scala:381)
at com.tuplejump.kafka.connect.cassandra.CassandraSinkTask.put(CassandraSinkTask.scala:46)
at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:370)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:227)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:170)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:142)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:140)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:175)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Is there a way to make connections between multiple topics and cassandra tables? I don't see it from the example config. For example, all messages in topic 1 go to table 1, at the same time, all messages in topic 2 go to table 2.
Since we are doing ProtocolOptions.Compression.valueOf(s) in https://github.com/tuplejump/kafka-connect-cassandra/blob/DB-53/src/main/scala/com/tuplejump/kafka/connect/cassandra/CassandraCluster.scala#L213 , the possible values should be snappy or lz4 or ``(empty)
My property file
name=cassandra-source-bulk-six
connector.class=com.tuplejump.kafka.connect.cassandra.CassandraSource
tasks.max=1
topic=cassandra
cassandra.source.route.cassandra=select * from junevolumata.emp_new
cassandra.connection.consistency=ONE
cassandra.source.poll.interval=60000
cassandra.source.fetch.size=100
cassandra.connection.timeout.ms= 8000
cassandra.connection.read.timeout= 120000
cassandra.connection.reconnect.delay.min=1000
cassandra.connection.reconnect.delay.max=60000
cassandra.task.parallelism=one-to-one
My table contains only 3 records,
select * from emp_new;
emp_id | emp_city | emp_name | emp_phone | emp_sal
--------+-----------+----------+------------+---------
1 | Hyderabad | ram | 9848022338 | 50000
2 | Hyderabad | robin | 9848022339 | 40000
3 | Chennai | rahman | 9848022330 | 45000
(3 rows)
But, when i check the data in kafka consumer, it is keeps on repeated the same 3 records continously still the connector is active.
Why i am not able to get the exact records which is present in the table without any duplicates of those records, what property should i need to set in the configuration property file. Any one please help me , i dono where i done a mistake.
Add user configuration of a column and type (preferably a timeuuid or other:
e.g. a column name and type mapping to add a where clause like
where timestamp > checkpointTimestamp
Right now, DataConverter.sinkRecordToQuery(r, configProperties)
assumes one-to-one mapping between fields in ValuesSchema of SinkRecord to the columns in the CQL table.
I saw this need when I am trying to use kafka-connect-twitter
which uses a particular schema and the Sink table might have a different schema.
@helena Is this a valid use-case?
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