incubator-livy
Trino
incubator-livy | Trino | |
---|---|---|
4 | 44 | |
853 | 9,576 | |
0.5% | 1.8% | |
5.2 | 10.0 | |
9 days ago | 3 days ago | |
Scala | Java | |
Apache License 2.0 | Apache License 2.0 |
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incubator-livy
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Sparkless is born
Apache Livy - REST API For submitting jobs to a cluster. Used in conjunction with Jupyter or Zeppelin notebooks and you have a multi-tenant SQL only workload — https://livy.apache.org
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State of connecting (Jupyter) notebooks to remote Spark 3+ clusters
There’s definitely some patching that still has to happen depending on the version (just found this Spark 3.2 PR), but I presume many folks that actively use it have to maintain their own forks. Latest version of EMR is Spark 3.1.2, but 3.2 is coming soon.
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Spark is lit once again
Apache Livy - an open-source REST API for interacting with Apache Spark from anywhere.
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Hadoop Clusters to K8S
Spark 3 has some solid support for Kubernetes. Livy is a good addition to Spark on K8S, although support is not merged upstream yet (there's publicly available images and other in the PR). I'd strongly recommend to avoid running HDFS on top of Kubernetes. Either cloud-native buckets or on-premise bucket storage like Minio would be much better suited.
Trino
- Trino: Fast distributed SQL query engine for big data analytics
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Game analytic power: how we process more than 1 billion events per day
We decided not to waste time reinventing the wheel and simply installed Trino on our servers. It’s a full featured SQL query engine that works on your data. Now our analysts can use it to work with data from AppMetr and execute queries at different levels of complexity.
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Your Thoughts on OLAPs Clickhouse vs Apache Druid vs Starrocks in 2023/2024
DevRel for StarRocks. Trino doesn't have a great caching layer (https://github.com/trinodb/trino/pull/16375) and performance (https://github.com/trinodb/trino/issues/14237) and https://github.com/oap-project/Gluten-Trino. In benchmarks and community user testing, StarRocks has outperformed.
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Making Hard Things Easy
What if my SQL engine is Presto, Trino [1], or a similar query engine? If it's federating multiple source databases we peel the SQL back and get... SQL? Or you peel the SQL back and get... S3 + Mongo + Hadoop? Junior analysts would work at 1/10th the speed if they had to use those raw.
[1] https://trino.io/
- Trino, a open query engine that runs at ludicrous speed
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Questions about Athena, Trino and Iceberg
The good thing is that the concepts in terms to the SQL supported by Trino transfers between them all. So its completely reasonable to start with one and move to another. In fact that is something that happens regularly. I invite to you check out the talks from the Trino Fest event that is just wrapping up today. There are presentations about all these aspects and different scenarios users encounter. All videos and slides will go live on the Trino website soon. Also feel free to join the Trino slack to chat about about all this with other users.
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Multi-Databases across Multiple Servers - MySQL
There are distributed query engines like Trino that help with this sort of problem https://trino.io/
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Iceberg on Cloudtrail Logs with Athena
This issue in particular is a killer for me: https://github.com/trinodb/trino/issues/10974
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Data Lake, Real-time Analytics, or Both? Exploring Presto and ClickHouse
AFAIK Presto was forked and Trino https://trino.io/ is now the leading SQL Query engine .
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Apache Iceberg as storage for on-premise data store (cluster)
Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie.
What are some alternatives?
lighter - REST API for Apache Spark on K8S or YARN
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
sparkmagic - Jupyter magics and kernels for working with remote Spark clusters
dremio-oss - Dremio - the missing link in modern data
Presto - The official home of the Presto distributed SQL query engine for big data
incubator-livy - Mirror of Apache livy (Incubating)
Apache Drill - Apache Drill is a distributed MPP query layer for self describing data
tispark - TiSpark is built for running Apache Spark on top of TiDB/TiKV
Apache Calcite - Apache Calcite
ClickHouse - ClickHouse® is a free analytics DBMS for big data
spring-data-jpa-mongodb-expressions - Use the MongoDB query language to query your relational database, typically from frontend.