tuplejump/kafka-connect-cassandra

Kafka Connect Cassandra Connector. This project includes source/sink connectors for Cassandra to/from Kafka.

kafka-connect-cassandra's Issues

Remove Thread.sleep in CassandraSourceTask to control poll Interval

CassandraSinkTask throws an Exception if the SinkRecord has a field of STRUCT type

NullPointerException issue

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)

Add SourceTask range query option and user-defined column and type to checkpoint for source polls

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

kafka-connect-cassandra fetching duplicate records from the table

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 Kafka offset and partition handling in tasks

Multiple topics and tables

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.

Fix config of connection ProtocolOptions.Compression setting.

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)

Unable to get JSON for frozen types

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.

DataConverter should be configurable so as to allow conversion of any type of ValueSchema to CQL query

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?