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demo_zero-to-hero-with-kafka-connect.html
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<title>From Zero to Hero with Kafka Connect - demo script</title>
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<body class="article">
<div id="header">
<h1>From Zero to Hero with Kafka Connect - demo script</h1>
<div class="details">
<span id="author" class="author">Robin Moffatt</span><br>
<span id="email" class="email"><a href="mailto:[email protected]">[email protected]</a></span><br>
<span id="revnumber">version 1.15,</span>
<span id="revdate">25 February 2020</span>
</div>
<div id="toc" class="toc">
<div id="toctitle">Table of Contents</div>
<ul class="sectlevel1">
<li><a href="#_running_the_test_rig">Running the test rig</a></li>
<li><a href="#_demo_1_kafka_connect_pipelines">Demo 1 - Kafka Connect pipelines</a>
<ul class="sectlevel2">
<li><a href="#_ingest_data_from_a_database">Ingest data from a database</a></li>
<li><a href="#_stream_data_from_kafka_to_elasticsearch">Stream data from Kafka to Elasticsearch</a></li>
<li><a href="#_stream_to_neo4j">Stream to Neo4j</a></li>
<li><a href="#_view_in_elasticsearch">View in Elasticsearch</a></li>
<li><a href="#_view_in_neo4j">View in Neo4j</a></li>
</ul>
</li>
<li><a href="#_optional_show_off_ksqldb">[Optional] Show off ksqlDB</a></li>
</ul>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_running_the_test_rig">Running the test rig</h2>
<div class="sectionbody">
<div class="olist arabic">
<ol class="arabic">
<li>
<p>Bring up the stack</p>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">git clone https://github.com/confluentinc/demo-scene.git
cd kafka-connect-zero-to-hero
docker-compose up -d</code></pre>
</div>
</div>
<div class="paragraph">
<p>This brings up the stack ready for use.</p>
</div>
</li>
<li>
<p>Wait for Kafka Connect to be started</p>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">bash -c ' \
echo -e "\n\n=============\nWaiting for Kafka Connect to start listening on localhost ⏳\n=============\n"
while [ $(curl -s -o /dev/null -w %{http_code} http://localhost:8083/connectors) -ne 200 ] ; do
echo -e "\t" $(date) " Kafka Connect listener HTTP state: " $(curl -s -o /dev/null -w %{http_code} http://localhost:8083/connectors) " (waiting for 200)"
sleep 5
done
echo -e $(date) "\n\n--------------\n\o/ Kafka Connect is ready! Listener HTTP state: " $(curl -s -o /dev/null -w %{http_code} http://localhost:8083/connectors) "\n--------------\n"
'</code></pre>
</div>
</div>
</li>
<li>
<p>Make sure that the Elasticsearch, Debezium, and Neo4j connectors are available:</p>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">curl -s localhost:8083/connector-plugins|jq '.[].class'|egrep 'Neo4jSinkConnector|MySqlConnector|ElasticsearchSinkConnector'</code></pre>
</div>
</div>
<div class="paragraph">
<p>Expect:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">"io.confluent.connect.elasticsearch.ElasticsearchSinkConnector"
"io.debezium.connector.mysql.MySqlConnector"
"streams.kafka.connect.sink.Neo4jSinkConnector"</code></pre>
</div>
</div>
</li>
<li>
<p>Get a MySQL prompt</p>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">docker exec -it mysql bash -c 'mysql -u root -p$MYSQL_ROOT_PASSWORD demo'</code></pre>
</div>
</div>
</li>
</ol>
</div>
</div>
</div>
<div class="sect1">
<h2 id="_demo_1_kafka_connect_pipelines">Demo 1 - Kafka Connect pipelines</h2>
<div class="sectionbody">
<div class="paragraph">
<p>A MySQL database stores orders placed by an application.</p>
</div>
<div class="ulist">
<ul>
<li>
<p>Kafka Connect - Debezium MySQL connector streams them into Kafka topic</p>
</li>
<li>
<p>Kafka Connect - Elasticsearch connector to stream orders from Kafka topic to both Elasticsearch and Neo4j</p>
</li>
</ul>
</div>
<div class="sect2">
<h3 id="_ingest_data_from_a_database">Ingest data from a database</h3>
<div class="sect3">
<h4 id="_look_at_the_db">Look at the DB</h4>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">SELECT * FROM ORDERS ORDER BY CREATE_TS DESC LIMIT 1\G</code></pre>
</div>
</div>
<div class="paragraph">
<p>Trigger the MySQL data generator with:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">docker exec mysql /data/02_populate_more_orders.sh</code></pre>
</div>
</div>
<div class="paragraph">
<p>Look at the new rows!</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">watch -n 1 -x docker exec -t mysql bash -c 'echo "SELECT * FROM ORDERS ORDER BY CREATE_TS DESC LIMIT 1 \G" | mysql -u root -p$MYSQL_ROOT_PASSWORD demo'</code></pre>
</div>
</div>
</div>
<div class="sect3">
<h4 id="_create_the_connector">Create the connector</h4>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">curl -i -X PUT -H "Content-Type:application/json" \
http://localhost:8083/connectors/source-debezium-orders-00/config \
-d '{
"connector.class": "io.debezium.connector.mysql.MySqlConnector",
"database.hostname": "mysql",
"database.port": "3306",
"database.user": "debezium",
"database.password": "dbz",
"database.server.id": "42",
"database.server.name": "asgard",
"table.whitelist": "demo.orders",
"database.history.kafka.bootstrap.servers": "kafka:29092",
"database.history.kafka.topic": "dbhistory.demo" ,
"decimal.handling.mode": "double",
"include.schema.changes": "true",
"transforms": "unwrap,addTopicPrefix",
"transforms.unwrap.type": "io.debezium.transforms.ExtractNewRecordState",
"transforms.addTopicPrefix.type":"org.apache.kafka.connect.transforms.RegexRouter",
"transforms.addTopicPrefix.regex":"(.*)",
"transforms.addTopicPrefix.replacement":"mysql-debezium-$1"
}'</code></pre>
</div>
</div>
<div class="paragraph">
<p>Check the status of the connector</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash"># Apache Kafka >=2.3
curl -s "http://localhost:8083/connectors?expand=info&expand=status" | \
jq '. | to_entries[] | [ .value.info.type, .key, .value.status.connector.state,.value.status.tasks[].state,.value.info.config."connector.class"]|join(":|:")' | \
column -s : -t| sed 's/\"//g'| sort</code></pre>
</div>
</div>
<div class="paragraph">
<p>Output should be</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">source | source-debezium-orders-00 | RUNNING | RUNNING | io.debezium.connector.mysql.MySqlConnector</code></pre>
</div>
</div>
<div class="paragraph">
<p>View the topic in the CLI:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">docker exec kafkacat kafkacat \
-b kafka:29092 \
-r http://schema-registry:8081 \
-s avro \
-t mysql-debezium-asgard.demo.ORDERS \
-C -o -10 -q | jq '.id, .CREATE_TS.string'</code></pre>
</div>
</div>
<div class="paragraph">
<p>Show Kafka Consumer and MySQL side by side.</p>
</div>
</div>
</div>
<div class="sect2">
<h3 id="_stream_data_from_kafka_to_elasticsearch">Stream data from Kafka to Elasticsearch</h3>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">curl -i -X PUT -H "Content-Type:application/json" \
http://localhost:8083/connectors/sink-elastic-orders-00/config \
-d '{
"connector.class": "io.confluent.connect.elasticsearch.ElasticsearchSinkConnector",
"topics": "mysql-debezium-asgard.demo.ORDERS",
"connection.url": "http://elasticsearch:9200",
"type.name": "type.name=kafkaconnect",
"key.ignore": "true",
"schema.ignore": "true"
}'</code></pre>
</div>
</div>
<div class="paragraph">
<p>Force Kibana to refresh its field list:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">curl -s 'http://localhost:5601/api/saved_objects/_bulk_get' \
-H 'kbn-xsrf: nevergonnagiveyouup' \
-H 'Content-Type: application/json' \
-d '[{"id":"mysql-debezium-asgard.demo.orders","type":"index-pattern"}]'</code></pre>
</div>
</div>
</div>
<div class="sect2">
<h3 id="_stream_to_neo4j">Stream to Neo4j</h3>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">curl -i -X PUT -H "Content-Type:application/json" \
http://localhost:8083/connectors/sink-neo4j-orders-00/config \
-d '{
"connector.class": "streams.kafka.connect.sink.Neo4jSinkConnector",
"topics": "mysql-debezium-asgard.demo.ORDERS",
"neo4j.server.uri": "bolt://neo4j:7687",
"neo4j.authentication.basic.username": "neo4j",
"neo4j.authentication.basic.password": "connect",
"neo4j.topic.cypher.mysql-debezium-asgard.demo.ORDERS": "MERGE (city:city{city: event.delivery_city}) MERGE (customer:customer{id: event.customer_id, delivery_address: event.delivery_address, delivery_city: event.delivery_city, delivery_company: event.delivery_company}) MERGE (vehicle:vehicle{make: event.make, model:event.model}) MERGE (city)<-[:LIVES_IN]-(customer)-[:BOUGHT{order_total_usd:event.order_total_usd,order_id:event.order_id}]->(vehicle)"
} '</code></pre>
</div>
</div>
</div>
<div class="sect2">
<h3 id="_view_in_elasticsearch">View in Elasticsearch</h3>
<div class="paragraph">
<p><a href="http://localhost:5601/app/kibana#/discover?_g=(refreshInterval:(pause:!f,value:5000),time:(from:now-15m,mode:quick,to:now))&_a=(columns:!(id,delivery_address,delivery_city,delivery_company,make,model,order_total_usd),index:mysql-debezium-asgard.demo.orders,interval:auto,query:(language:lucene,query:''),sort:!(CREATE_TS,desc))">Inspect the data in Kibana</a> or from CLI:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">curl -s http://localhost:9200/mysql-debezium-asgard.demo.orders/_search \
-H 'content-type: application/json' \
-d '{ "size": 5, "sort": [ { "CREATE_TS": { "order": "desc" } } ] }' |\
jq '.hits.hits[]._source | .id, .CREATE_TS'</code></pre>
</div>
</div>
<div class="admonitionblock note">
<table>
<tr>
<td class="icon">
<div class="title">Note</div>
</td>
<td class="content">
<div class="paragraph">
<p>If you want to set the Elasticsearch document id to match the key of the source database record use the following:</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">"key.ignore": "true",
…
"transforms": "extractKey",
"transforms.extractKey.type":"org.apache.kafka.connect.transforms.ExtractField$Key",
"transforms.extractKey.field":"id"</code></pre>
</div>
</div>
</td>
</tr>
</table>
</div>
</div>
<div class="sect2">
<h3 id="_view_in_neo4j">View in Neo4j</h3>
<div class="paragraph">
<p>View in <a href="http://localhost:7474/browser/">Neo4j browser</a> (login <code>neo4j</code>/<code>connect</code>)</p>
</div>
</div>
</div>
</div>
<div class="sect1">
<h2 id="_optional_show_off_ksqldb">[Optional] Show off ksqlDB</h2>
<div class="sectionbody">
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-bash" data-lang="bash">docker exec -it ksqldb ksql http://localhost:8088</code></pre>
</div>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">SET 'auto.offset.reset' = 'earliest';
SHOW TOPICS;
CREATE STREAM ORDERS WITH (KAFKA_TOPIC='mysql-debezium-asgard.demo.ORDERS', VALUE_FORMAT='AVRO');
DESCRIBE ORDERS;
SELECT ID, MAKE, MODEL, CREATE_TS FROM ORDERS EMIT CHANGES;</code></pre>
</div>
</div>
<div class="paragraph">
<p>Filter</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">SET 'auto.offset.reset' = 'earliest';
SELECT ID, MAKE, MODEL, CREATE_TS FROM ORDERS WHERE MAKE='Ford' EMIT CHANGES;</code></pre>
</div>
</div>
<div class="paragraph">
<p>Aggregates</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">SELECT MAKE, COUNT(*), SUM(CAST(ORDER_TOTAL_USD AS DECIMAL(13,2)))
FROM ORDERS
GROUP BY MAKE EMIT CHANGES;
SELECT TIMESTAMPTOSTRING(WINDOWSTART,'HH:mm:ssZ','Europe/Brussels') AS WINDOW_START_TS,
MAKE, COUNT(*) AS ORDER_COUNT, SUM(CAST(ORDER_TOTAL_USD AS DECIMAL(13,2))) AS TOTAL_VALUE_USD
FROM ORDERS WINDOW TUMBLING (SIZE 5 MINUTES)
WHERE MAKE='Ford'
GROUP BY MAKE EMIT CHANGES;</code></pre>
</div>
</div>
<div class="paragraph">
<p>"Pull" query</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">CREATE TABLE ORDERS_BY_HOUR AS
SELECT TIMESTAMPTOSTRING(WINDOWSTART,'yyyy-MM-dd''T''HH:mm:ssZ','Europe/London') AS WINDOW_START_TS,
MAKE, COUNT(*) AS ORDER_COUNT, SUM(ORDER_TOTAL_USD) AS TOTAL_VALUE_USD
FROM ORDERS WINDOW TUMBLING (SIZE 1 HOUR)
GROUP BY MAKE EMIT CHANGES;
-- Push query
SELECT TIMESTAMPTOSTRING(WINDOWSTART,'HH:mm:ssZ','Europe/Brussels') AS TS, MAKE, ORDER_COUNT, TOTAL_VALUE_USD
FROM ORDERS_BY_HOUR
WHERE ROWKEY='Ford'
EMIT CHANGES;
-- Pull query
SELECT TIMESTAMPTOSTRING(WINDOWSTART,'HH:mm:ssZ','Europe/Brussels') AS TS, MAKE, ORDER_COUNT, TOTAL_VALUE_USD
FROM ORDERS_BY_HOUR
WHERE ROWKEY='Ford';</code></pre>
</div>
</div>
<div class="paragraph">
<p>REST API</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">docker exec -t ksqldb curl -s -X "POST" "http://localhost:8088/query" \
-H "Content-Type: application/vnd.ksql.v1+json; charset=utf-8" \
-d '{"ksql":"SELECT TIMESTAMPTOSTRING(WINDOWSTART,'\''yyyy-MM-dd HH:mm:ss'\'','\''Europe/London'\'') AS TS, MAKE, ORDER_COUNT, TOTAL_VALUE_USD FROM ORDERS_BY_HOUR WHERE ROWKEY='\''Ford'\'';"}'|jq -c '.'</code></pre>
</div>
</div>
<div class="paragraph">
<p>Connector creation</p>
</div>
<div class="listingblock">
<div class="content">
<pre class="highlight"><code class="language-sql" data-lang="sql">SHOW CONNECTORS;
CREATE SINK CONNECTOR SINK_ES_AGG WITH (
'connector.class' = 'io.confluent.connect.elasticsearch.ElasticsearchSinkConnector',
'topics' = 'ORDERS_BY_HOUR',
'connection.url' = 'http://elasticsearch:9200',
'type.name' = 'type.name=kafkaconnect',
'key.ignore' = 'false',
'schema.ignore' = 'true'
);
SHOW CONNECTORS;</code></pre>
</div>
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</div>
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<div id="footer-text">
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Last updated 2020-02-25 11:27:53 +0100
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