layout: page title: Community
Upcoming talks
Project Members
Name (Apache ID) | Github | Org | Role |
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Mailing Lists
There are several mailing lists for Calcite:
You can subscribe to the lists by sending email to {list}-subscribe@calcite.apache.org and unsubscribe by sending email to {list}-unsubscribe@calcite.apache.org (where {list} is either “dev”, “issues”, or “commits”).
Help
Need help with Calcite? Try these resources:
- Mailing Lists. The best option is to send email to the developers list dev@calcite.apache.org. All of the historic traffic is available in the archive. To subscribe to the user list, please send email to dev-subscribe@calcite.apache.org.
- Bug Reports. Please file any issues you encounter or fixes you'd like on the Calcite Jira. We welcome patches and pull-requests!
- StackOverflow. StackOverflow is a wonderful resource for any developer. Take a look over there to see if someone has answered your question.
- Browse the code. One of the advantages of open source software is that you can browse the code. The code is available on github.
Talks
Want to learn more about Calcite?
Watch some presentations and read through some slide decks about Calcite, or attend one of the upcoming talks.
Apache Calcite: One planner fits all
Voted Best Lightning Talk at XLDB-2015; [video], [slides].
{% oembed https://www.youtube.com/watch?v=5_MyORYjq3w %}
Streaming SQL
At Hadoop Summit, San Jose, CA, 2016 [video], [slides], [pdf].
{% oembed https://www.youtube.com/watch?v=b7HENkvd1uU %}
Cost-based Query Optimization in Apache Phoenix using Apache Calcite
At Hadoop Summit, San Jose, CA, 2016 [video], [slides], [pdf].
{% oembed https://www.youtube.com/watch?v=gz9X7JD8BAU %}
Planning with Polyalgebra: Bringing together relational, complex and machine learning algebra
As Hadoop Summit, Dublin, 2016 [video], [slides].
{% oembed https://www.youtube.com/watch?v=fHZqbe3iPMc %}
More talks
- Why you care about relational algebra (even though you didn't know it) (Washington DC, 2015)
- Cost-based optimization in Hive 0.14 (Seattle, 2014)
- Discardable, in-memory materialized query for Hadoop (video) (Hadoop Summit, 2014)
- SQL Now! (NoSQL Now! conference, 2013)
- Drill / SQL / Optiq (2013)
- How to integrate Splunk with any data solution (Splunk User Conference, 2012)