Question 1

How do I deploy Ballista on Kubernetes?

Accepted Answer

Ballista provides Docker images and a deployment guide for Kubernetes in the user guide, allowing you to set up a cluster with scheduler and executor pods for scalable query execution.

Question 2

Ballista vs Apache Spark: which is better for distributed queries?

Accepted Answer

Ballista can outperform Spark in benchmarks, as shown with a 2.9x speedup, but Spark has a more extensive ecosystem. Ballista is ideal if you're already using DataFusion and prioritize integration over breadth of features.

Question 3

What SQL features does Ballista support?

Accepted Answer

Ballista supports a wide range of SQL, including CTEs, joins, and subqueries, but for exact syntax, refer to the DataFusion SQL reference, as there might be gaps due to the compatibility issue mentioned in the README.

Question 4

Is Ballista production-ready?

Accepted Answer

While it supports complex queries and scaling, the README notes a compatibility gap between DataFusion and Ballista, so it may require thorough testing and monitoring for production use, especially for critical workloads.

Question 5

How to migrate an existing DataFusion app to use Ballista?

Accepted Answer

Change the SessionContext to use Ballista's standalone mode, as shown in the README example, which typically involves minimal code modifications, but be aware of potential incompatibilities due to the gap.

Question 6

Does Ballista handle real-time data processing?

Accepted Answer

Ballista is primarily designed for batch query execution on large datasets; for real-time streaming with low latency, other systems like Apache Flink or Kafka Streams might be more suitable.

Apache Ballista

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