PRESENTATION TITLE ON ONE LINE AND ON TWO LINES First and last name Position, company Streaming ETL in Kafka for Everyone with KSQL Software Engineer, Confluent Inc. Hojjat Jafarpour
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PRESENTATION TITLE ON ONE LINE AND ON TWO LINES
First and last namePosition, company
Streaming ETL in Kafka for Everyone with KSQL
Software Engineer, Confluent Inc.
Hojjat Jafarpour
PRESENTATION TITLE ON ONE LINE AND ON TWO LINES
First and last namePosition, company
Hojjat Jafarpour
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Software Engineer at Confluent ○Starter KSQL project at Confluent
Previously at Tidemark, Quantcast, Informatica and
NEC Labs
PhD in Computer Science from UC Irvine○Data management, pub/sub and streaming
@hojjat
PRESENTATION TITLE ON ONE LINE AND ON TWO LINES
First and last namePosition, company
Streaming ETL, with Apache Kafka and Confluent Platform
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PRESENTATION TITLE ON ONE LINE AND ON TWO LINES
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PRESENTATION TITLE ON ONE LINE AND ON TWO LINES
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Kafka Connect : Stream data in and out of Kafka
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Amazon
S3
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Single Message Transform (SMT)
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▪ Modify events before storing in
Kafka:o Mask/drop sensitive informationo Set partitioning keyo Store lineage
▪ Modify events going out of
Kafka:o Route high priority events to faster
data storeso Direct events to different
Elasticsearch indexeso Cast data types to match destination
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But I need to join…aggregate…filter
…
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KSQL from Confluent
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A Developer Preview of
KSQL
An Open Source Streaming SQL
Engine for Apache KafkaTM
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KSQL: a Streaming SQL Engine for Apache Kafka™ from Confluent
▪ Enables stream processing with zero coding required
▪ The simplest way to process streams of data in real-time
▪ Powered by Kafka: scalable, distributed, battle-tested
▪ All you need is Kafka–No complex deployments of bespoke
systems for stream processing
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Ksql>
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KSQL: the Simplest Way to Do Stream Processing
CREATE STREAM possible_fraud AS
SELECT card_number, count(*)
FROM authorization_attempts
WINDOW TUMBLING (SIZE 5 SECONDS)
GROUP BY card_number
HAVING count(*) > 3;
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KSQL Concepts
▪ STREAM and TABLE as first-class citizens
o Interpretations of topic content
▪ STREAM - data in motion
▪ TABLE - collected state of a stream
o One record per key (per window)
o Current values (compacted topic) ← Not yet in KSQL
▪ STREAM – TABLE Joins
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Window Aggregations
Three types supported (same as KStreams):
● TUMBLING: Fixed-size, non-overlapping, gap-less windows
• SELECT ip, count(*) AS hits FROM clickstream
WINDOW TUMBLING (size 1 minute) GROUP BY ip;
● HOPPING: Fixed-size, overlapping windows
• SELECT ip, SUM(bytes) AS bytes_per_ip_and_bucket FROM clickstream
WINDOW HOPPING ( size 20 second, advance by 5 second) GROUP BY ip;
● SESSION: Dynamically-sized, non-overlapping, data-driven window
• SELECT ip, SUM(bytes) AS bytes_per_ip FROM clickstream
WINDOW SESSION (20 second) GROUP BY ip;
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PRESENTATION TITLE ON ONE LINE AND ON TWO LINES
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Streaming ETL, powered by Apache Kafka and Confluent Platform
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KSQL
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Simple Web Analytics Pipeline
● Pageview stream● User table● Materialized views
o Region visitor counto Region visitor demography
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CREATE STREAM pageviews (viewtime BIGINT, userid VARCHAR, pageid VARCHAR) WITH
(kafka_topic='pageviews', value_format=JSON);
CREATE TABLE users (registertime BIGINT, gender VARCHAR, regionid VARCHAR, userid
VARCHAR) WITH (kafka_topic='users', value_format='JSON');
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Simple Web Analytics Pipeline
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Region visitor count
CREATE STREAM joined_pageviews AS
SELECT users.userid AS userid, pageid, regionid, gender
FROM pageviews LEFT JOIN users ON pageviews.userid = users.userid;
CREATE TABLE region_visitor_count AS
SELECT regionid , COUNT(*) AS visit_count
FROM joined_pageviews
WINDOW TUMBLING (size 30 second)
GROUP BY regionid;
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Simple Web Analytics Pipeline
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Region visitor demography
CREATE TABLE region_visitor_demo_count AS
SELECT regionid, gender, COUNT(*) AS visit_count
FROM joined_pageviews
WINDOW TUMBLING (size 30 second)
GROUP BY gender, regionid;
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Streaming ETL, powered by Apache Kafka and Confluent Platform
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KSQL
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Confluent Platform: Enterprise Streaming based on Apache Kafka™
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Database
ChangesLog Events loT Data
Web
Events…
CRM
Data Warehouse
Database
Hadoop
Data
Integration
…
Monitoring
Analytics
Custom Apps
Transformations
Real-time
Applications
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Apache Open Source Confluent Open Source Confluent Enterprise
Confluent Platform
Confluent Platform
Apache Kafka™
Core | Connect API | Streams API
Data Compatibility
Schema Registry
Monitoring & Administration
Confluent Control Center | Security
Operations
Replicator | Auto Data Balancing
Development and Connectivity
Clients | Connectors | REST Proxy | KSQL | CLI
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Date to remember
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• Kafka Summit 2018
• April 23-24 in London!
• More details:
https://kafka-summit.org/
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THANK YOU
@hojjat
Please stay in touch
Any questions?
https://github.com/confluentinc/ksql/
https://www.confluent.io/download/
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