Question 1

How do I join a CSV file with a PostgreSQL table in OctoSQL?

Accepted Answer

First, install the PostgreSQL plugin using 'octosql plugin install postgres', configure it in octosql.yml, then run a SQL query like 'SELECT * FROM data.csv JOIN db.customers ON id'. OctoSQL handles the join across sources seamlessly.

Question 2

OctoSQL vs DataFusion for querying CSV files?

Accepted Answer

OctoSQL offers a unified SQL interface for multiple sources and streaming, but benchmarks show DataFusion is faster for pure CSV queries. Choose OctoSQL if you need cross-source joins or streaming; DataFusion for higher performance on single formats.

Question 3

Can OctoSQL stream data from Kafka or message queues?

Accepted Answer

Not directly out of the box. You'd need to develop a custom plugin, as the core supports files and databases via plugins. The dataflow engine can handle streams, but Kafka integration requires additional work.

Question 4

How to perform time-windowed aggregations on streaming data?

Accepted Answer

Use table-valued functions like tumble and max_diff_watermark with GROUP BY and TRIGGER clauses. For example, 'SELECT * FROM tumble(source=>TABLE(stream.json), window_length=>INTERVAL 1 MINUTE)' assigns records to windows for aggregation.

Question 5

What SQL dialect does OctoSQL support, and is it compatible with MySQL?

Accepted Answer

OctoSQL uses its own SQL dialect with extensions for union types and table-valued functions. It's not fully compatible with MySQL; some syntax may differ, and database-specific features might not be available through plugins.

Question 6

How to debug a query that's running slowly in OctoSQL?

Accepted Answer

Use the '--explain' flag to visualize the query plan and check for predicate pushdown. Also, review logs in ~/.octosql/logs.txt for errors or performance hints during execution.

OctoSQL

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