query-engine

Instead of creating on the fly an Iceberg table with Trino and run queries against it, use static resources for setting up an Iceberg test environment which can be used to read Iceberg v1 / v2 tables and guard trino-iceberg plugin against regresssions.

Related discussion: trinodb/trino#11642 (comment)

I'm not sure how feasible this may be, but the old logparser program from Microsoft supported queries like

Select * from test.csv

And it would read from test.csv, without needing any config files.

Is your feature request related to a problem or challenge? Please describe what you are trying to do.
Currently, DataFusion creates column names by https://github.com/apache/arrow-datafusion/blob/7be0e268a69ffecbf06823c98ca572733dddb29e/datafusion/src/physical_plan/planner.rs#L91.
The approach has two existing problems:

1. result in potential bugs, such as https://github.com/apache/arrow-

Calling db.Drop when a bucket does not exist returns "bucket not found" and that error is directly from bolt's bolt.ErrBucketNotFound, I believe this error should be translated to storm.ErrNotFound.

Spinning up an instance;

import (
	"github.com/dolthub/go-mysql-server/auth"
	"github.com/dolthub/go-mysql-server/memory"
	"github.com/dolthub/go-mysql-server/server"
	"github.com/dolthub/go-mysql-server/sql"
	"github.com/dolthub/go-mysql-server/sql/information_schema"
)

func main() {
	engine := sqle.NewDefault(
		sql.NewDatabaseProvider(
			memory.NewDatabase(TEST_DB_MYSQL_DAT

Per discussion in #2743 this class is mis-named.

Also, rename LinkStreamValue to just plain LinkStream.