samza | Mirror of Apache Samza | Pub Sub library
kandi X-RAY | samza Summary
kandi X-RAY | samza Summary
Apache Samza is a distributed stream processing framework. It uses Apache Kafka for messaging, and Apache Hadoop YARN to provide fault tolerance, processor isolation, security, and resource management.
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Top functions reviewed by kandi - BETA
- Returns the store actions .
- Performs the optimizations on a join .
- Formats the schema for display .
- Start side input storage .
- Validates join query .
- Group a set of stores .
- Creates and returns a listener which allows to observe when the job model has expired .
- Opens the JNI console and prints the result .
- returns topological sort of nodes
- Validates output record .
samza Key Features
samza Examples and Code Snippets
Python Stream Processing
# Python Streams
# Forever scalable event processing & in-memory durable K/V store;
# as a library w/ asyncio & static typing.
import faust
app = faust.App('myapp', broker='kafka://localhost')
# Models describe how me
Community Discussions
Trending Discussions on samza
QUESTION
Samza has a concept of windowing where a stream processing job needs to do something in regular intervals, regardless of how many incoming messages the job is processing.
For example, a simple per-minute event counter in samza will be like below:
...ANSWER
Answered 2020-Dec-23 at 15:49There are at least four different ways to interpret "per-minute". Along one binary dimension there's the distinction between using event time and processing time (one minute as measured by timestamps in the events, or one minute as measured by the CPU wall clock). And the other binary dimension has to do with whether the minutes are aligned to UTC, or to the first event.
The relevant lower-level mechanisms available to you in Flink are event time and processing time windows, and timers, which are part of process functions. For self-paced tutorials, examples, and exercises with solutions, see Learn Flink: Hands-on Training.
But with Flink, windowing is more readily done with SQL or the Table API. For example, a simple per-processing-time-minute event counter will be like this:
QUESTION
If I specify a changelog backing for a RocksDB Table in Samza. Is there configuration to update the async write time to the changelog? I want to reduce it to a shorter time. I cannot see anything in the Config reference.
The scenario I want is too write to a changelog from a stream after bridging a legacy JMS connection. This legacy connection provides partial updates and I want to merge the partial updates into a fuller message building a cache of these messages in the samza streaming application and write these down to a changelog.
If I use a changelog configured with stores.store-name.changelog
then it will write to the changelog eventually changes I make to the Samze API Table. But not quick enough for my needs so want to configure the max wait time to propagate to changelog.
Alternatively it seems that using the withSideInputs
to bootstrap my table each time and then using sendTo
will work faster to update and I can keep a LocalStore
to read and write the cache too and always have the changelog as golden source.
The reason I want the changelog to write quickly too is because other applications are reading from this changelog.
...ANSWER
Answered 2020-Dec-17 at 08:23Yes you can configure the time it will commit changes to the changelog usin the config:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install samza
You can use samza like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the samza component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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