Discover how SQLStreamBuilder enables you to run streaming SQL against unbounded streams of data and create new, persistent streaming jobs. https://eventador.io/sql-streambuilder/

1. Eventador SQLStreamBuilder
A rich streaming SQL interface for creating and scaling stateful
stream processing jobs
June 2019
Eventador.io

2. Quick Background
● Streaming data systems like
Apache Kafka have become
massively popular for a variety of
workloads.
● Stream processing frameworks
like Apache Flink have been
widely adopted for performing
computations on these streams.
● But, there is no simple way to
author, iterate, execute, and
manage jobs against boundless
streams of data without writing
lots of Java or Scala code.
Using SQL makes
building stream
processing jobs
EASY and FAST.

3. Why SQL?
Structured Query Language (SQL) is a tried-and-true language for managing structured data, so it is a
mature and ubiquitous language with a massive user base.
With streaming SQL engines for Apache Kafka, Apache Flink and other stream processing technologies,
enable organizations without Java and Scala to benefit from rapid and simple streaming application
development.

4. SQLStreamBuilder Overview
Eventador SQLStreamBuilder (SSB) is
an interface to create and manage
stream processing jobs using SQL.
SSB provides:
● An Interactive Streaming SQL Console
● A SQL Parser
● Compatible with a wide variety of
sources and sinks
● Schema definition and management
● SQL job management
● A production grade engine

5. SQLStreamBuilder Feature: Console Interface
SSB includes a rich editing interface for authoring, validating and launching streaming SQL jobs and
includes a number of unique features.
Theming and
color coding
for SQL
syntax
SQL history
VIM Mode
SQL editor
with context
sensitive
menu
Apache Calcite-
standard SQL
syntax
SQL comment
support

6. SQLStreamBuilder Feature: Built-in SQL Parser
SSB delivers a built-in Apache Calcite
SQL parser to give immediate feedback
on syntax and validity.
SSB’s SQL parser:
● doesn’t launch the job if you’re still
iterating on your syntax,
● guides you with helpful feedback
● enables you to interactively author SQL
by iterating on the statement until it
produces the result you want
● enables quick trial and error of SQL and
speeds time to market for streaming
jobs.

7. SQLStreamBuilder Feature: Comprehensive Sources and
Sinks
SSB enables you to create a virtual
table for a source or sink, then specify
them in SQL statements (source) and in
the console itself (sink)—all in a
compact interface.
SSB supports:
● Kafka-based sources and sinks via
○ the Eventador platform,
○ Amazon MSK, or
○ your own endpoint
● The comprehensive Flink ecosystem of
sources and sinks
○ including ones from projects like
Apache Bahir

8. SQLStreamBuilder Feature: Schema Management
SSB simplifies schema management by:
● defining a schema for each source at
creation time
● exposing that schema using metadata
commands and SQL queries in the editor
interface.
SSB is currently compatible with JSON
data, and the schema is defined using
JSON-schema compatible syntax. Avro
support is coming soon.

9. SQLStreamBuilder Feature: Simple Apache Flink Job
Management
SSB can seamlessly scale from one to
hundreds of concurrent processes all
servicing your one SQL job.
With SSB:
● each statement becomes a job
● a collection of one or more jobs makes
up some business
need/process/feature-a streaming
topology
● managing jobs is done via the SQL
Jobs tab where jobs can be observed,
canceled, and edited.
● clusters can be expanded to serve as
many concurrent SQL jobs as required.

10. SQLStreamBuilder: Production-grade Stream Processing
SSB being production grade was a core design tenant. One unique capability of the SSB engine is that
users can iterate and perfect SQL, then when ready, simply run against production data sources.
Additionally, SSB is a robust platform that:
● runs in a highly scalable and fault-tolerant manner by default
● utilizes checkpoints to ensure job restart-ability,
● is a rich streaming SQL UI fully integrated with Apache Kafka such that restarting picks up from the proper consumer
offset, and the state store itself scales and is fault tolerant
● runs redundant Flink management components and a best-in-breed stack for Flink
SSB also comes with Eventador’s 24x7x365 hands-on support.

11. SQLStreamBuilder: Eventador Architecture

12. Getting Started with SQLStreamBuilder
To request access to SQLStreamBuilder, please visit: https://eventador.io/sql-streambuilder/
1. Create a SSB deployment:
● Click on SQLStreamBuilder on the side menu
● Set a unique name for the SQL Job Name. Each query is a job and requires a name. If you are iterating quickly on your
SQL statement, just use the default name.
● If you already have a deployment, you can select it and skip down to the next section.
● If you will be creating a new deployment, select Add Deployment from the Target Deployment dropdown box.
● In the Add Deployment box, choose a logical Name for this deployment.
● Give it a good Description.
● Select a Region/Zone.
● Click Create. Over the next few moments, The deployment will provision a cluster for running SSB jobs.
2. Create virtual tables for sources and sinks
3. Run SQL
It’s as simple as that. To see more detail on getting started, creating sources and sinks, etc. with SQLStreamBuilder, please
visit: https://docs.eventador.io/streambuilder/

13. SQLStreamBuilder Streaming SQL Examples
Metadata Commands Example SQL Statement for
Fraud Detection:
Aggregation
Timestamps, intervals
and time
Union ALL
Math
Misc SQL Tricks

14. Visit
https://eventador.io
For More Information
hello@eventador.io