{"id":7665,"date":"2019-09-13T10:57:08","date_gmt":"2019-09-13T17:57:08","guid":{"rendered":"http:\/\/www.couchbase.com\/blog\/?p=7665"},"modified":"2023-05-25T04:15:24","modified_gmt":"2023-05-25T11:15:24","slug":"ingest-data-into-confluent-kafka-via-couchbase-kafka-connector","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\/","title":{"rendered":"Utilizaci\u00f3n del conector Kafka de Couchbase para la ingesta de datos"},"content":{"rendered":"

The p<\/span>remise is very simple: in the world of disparate technologies where one does not works or integrates well together, Couchbase & Confluent Kafka are amazing products and are extremely complementary to each other. Couchbase is linearly scalable, distributed NoSQL JSON database. Its primary use case is for any application\/web service which requires single digit ms<\/em> latency read\/write\/update response. It can be used as System of Record(SoR) or Caching layer for fast mutating transient data or offloading Db2\/Oracle\/SQL Server etc so that downstream services can consume data from Couchbase.<\/p>\n

C<\/span>onfluent Kafka is full-fledged distributed streaming platform which is also linearly scalable and capable of handling trillions of events in a day. Confluent Platform makes it easy to build real-time data pipelines and streaming applications by integrating data from multiple sources and locations into a single, central Event Streaming Platform for your company.<\/p>\n

In this blog post we will cover how seamlessly we can move data out Couchbase and push into a Confluent kafka topic as replication event.<\/p>\n

Couchbase Kafka connector transfers documents from Couchbase efficiently and reliably using Couchbase\u2019s internal replication protocol, DCP<\/a>. Every change to or deletion of the document generates a replication event, which is then sent to the configured Kafka topic.<\/p>\n

Kafka connector can be used to move data out of Couchbase and move data from kafka to Couchbase using sink connector. For this blog purpose we will be configuring and using source connector.<\/p>\n

At high level the architecture diagram looks like below<\/p>\n

\"\"<\/p>\n

Pre-requisites<\/strong><\/h3>\n

Couchbase Cluster running version 5.X or above. Download Couchbase here<\/a><\/p>\n

Couchbase kafka connector. Download Couchbase kafka connector here<\/a><\/p>\n

Confluent Kafka. Download Confluent Kafka here<\/a><\/p>\n

Configuring Couchbase cluster is outside of the scope of this blog post. However we will be discussing configuring Confluent kafka and Couchbase kafka connector to move data out of Couchbase.<\/p>\n

Configuring Confluent Kafka<\/strong><\/h4>\n

Untar the package downloaded above on a VM\/pod. For the purpose of this blog, I have deployed an Ubuntu Pod in kubernetes cluster running on GKE.<\/p>\n

\n
$ tar -zxf confluent-5.2.1\u20132.12.tar.gz<\/pre>\n<\/blockquote>\n
Make sure before installing confluent kafka machines needs to have java 8 version.<\/p>\n
\n
root@kafkaconnector:\/# java -version<\/pre>\n<\/blockquote>\n
\n
openjdk version \u201c1.8.0_222\u201d<\/pre>\n<\/blockquote>\n
Install\/start kafka<\/h5>\n
\n
$ cd confluent-5.2.1<\/pre>\n<\/blockquote>\n
\n
$ export PATH=$PATH:~\/confluent-5.2.1\/bin\r\n$ confluent start<\/pre>\n<\/blockquote>\n
kafka has following processes, which all should be up.<\/p>\n
zookeeper is [UP]<\/em>\r\n\r\nkafka is [UP]<\/em>\r\n\r\nschema-registry is [UP]<\/em>\r\n\r\nkafka-rest is [UP]<\/em>\r\n\r\nconnect is [UP]<\/em>\r\n\r\nksql-server is [UP]<\/em>\r\n\r\ncontrol-center is [UP]<\/em><\/pre>\n
Pod running confluent kafka can be exposed via NodePort service to the local machine\/laptop. App pod file is here<\/a>. Service yaml file is here<\/a><\/p>\n
$ kubectl get svc -n mynamespace<\/em>\r\n\r\nNAME\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 TYPE\u00a0 \u00a0 \u00a0 CLUSTER-IP\u00a0 \u00a0EXTERNAL-IP PORT(S)\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0AGE<\/em>\r\n\r\napp-service ClusterIP 10.51.248.154\u00a0 \u00a0 <none>\u00a0 \u00a0 \u00a0 \u00a0 \u00a09021\/TCP,8083\/TCP\u00a0 115s<\/em><\/pre>\n
Port-forward the service on local port 9021<\/p>\n
$ kubectl port-forward service\/app-service 9021:9021\u200a\u200a-- namespace cbdb<\/em>\r\n\r\nForwarding from 127.0.0.1:9021 -> 9021<\/em>\r\n\r\nForwarding from [::1]:9021 -> 9021<\/em><\/pre>\n
Hit the URL: https:\/\/localhost:9021<\/em><\/a><\/p>\n
Access Confluent Kafka\u00a0UI<\/figcaption><\/figure>\n
Configuring Couchbase Kafka Connector<\/strong><\/p>\n
Unzip the package downloaded from above<\/p>\n
$ unzip kafka-connect-couchbase-3.4.5.zip<\/em><\/pre>\n
$ cd kafka-connect-couchbase-3.4.5\/<\/em>config<\/pre>\n
Edit file quickstart-couchbase-source.properties<\/em> with (atleast) following information<\/p>\n
Cluster Connection string<\/p>\n
connection.cluster_address=cb-demo-0000.cb-demo.default.svc.cluster.local<\/em><\/pre>\n
bucket name and bucket access credentials<\/p>\n
connection.bucket=travel-sample\r\nconnection.username=Administrator\r\nconnection.password=pa$$word<\/em><\/pre>\n
Note:<\/strong> Enter credentials for bucket you want to move data too. In my example, I am using travel-sample bucket, with bucket user credentials.<\/p>\n
Export the variable CONFLUENT_HOME<\/p>\n
export CONFLUENT_HOME=\/root\/confluent-5.2.1<\/em><\/pre>\n
Start the kafka connector<\/p>\n
env CLASSPATH=.\/* connect-standalone $CONFLUENT_HOME\/etc\/schema-registry\/connect-avro-standalone.properties config\/quickstart-couchbase-source.properties<\/em><\/pre>\n
When connector is started it created a kafka topic with the name cb-topic <\/em>and we can see all documents from Couchbase travel-sample<\/em> bucket get transferred to kafka topic cb-topic <\/em>as events<\/p>\n
Events in kafka topic\u00a0cb-topic<\/em><\/figcaption><\/figure>\n
Conclusion<\/h4>\n
In the matter of minutes one can integrate Couchbase and Confluent Kafka. Ease of use, deployment and supportability are key factors in using technology. In this blog post we saw that one can seamlessly move data out of Couchbase into a kafka topic. Once data is in kafka topic, then using KSQL one can create real-time stream processing applications matching business needs.<\/p>\n
References:<\/h4>\n
    \n
  1. https:\/\/docs.confluent.io\/current\/quickstart\/ce-quickstart.html#ce-quickstart<\/a><\/li>\n
  2. https:\/\/docs.couchbase.com\/kafka-connector\/3.4\/quickstart.html<\/a><\/li>\n
  3. https:\/\/docs.couchbase.com\/kafka-connector\/3.4\/source-configuration-options.html<\/a><\/li>\n<\/ol>\n
     <\/p>\n
     <\/p>\n","protected":false},"excerpt":{"rendered":"
    The premise is very simple: in the world of disparate technologies where one does not works or integrates well together, Couchbase & Confluent Kafka are amazing products and are extremely complementary to each other. Couchbase is linearly scalable, distributed NoSQL […]<\/p>\n","protected":false},"author":12023,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1814,2242,2225,2389,2201],"tags":[1295,1487],"ppma_author":[9071],"class_list":["post-7665","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application-design","category-connectors","category-cloud","category-solutions","category-tools-sdks","tag-connectors","tag-kafka"],"yoast_head":"\nUtilizing Couchbase Kafka Connector to Ingest Data - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"In this blog post we will cover how seamlessly we can move data out of Couchbase and push into a Confluent Kafka topic as replication event.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/es\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Utilizing Couchbase Kafka Connector to Ingest Data\" \/>\n<meta property=\"og:description\" content=\"In this blog post we will cover how seamlessly we can move data out of Couchbase and push into a Confluent Kafka topic as replication event.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2019-09-13T17:57:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-05-25T11:15:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-12-at-11.23.48-AM.png\" \/>\n<meta name=\"author\" content=\"Ram Dhakne\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ram Dhakne\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/\"},\"author\":{\"name\":\"Ram Dhakne\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/219548e728c73c6f1ae06f994ebbfb13\"},\"headline\":\"Utilizing Couchbase Kafka Connector to Ingest Data\",\"datePublished\":\"2019-09-13T17:57:08+00:00\",\"dateModified\":\"2023-05-25T11:15:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/\"},\"wordCount\":593,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/1\\\/2022\\\/11\\\/couchbase-nosql-dbaas.png\",\"keywords\":[\"connectors\",\"kafka\"],\"articleSection\":[\"Application Design\",\"Connectors\",\"Couchbase Capella\",\"Solutions\",\"Tools & SDKs\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/ingest-data-into-confluent-kafka-via-couchbase-kafka-connector\\\/\",\"name\":\"Utilizing Couchbase Kafka Connector to Ingest Data - 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