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Summary

This PR introduces a new Databricks ADBC driver for Go that provides
Arrow-native database connectivity to Databricks SQL warehouses. The driver is
built as a wrapper around the databricks-sql-go library and implements all
required ADBC interfaces.

Changes

Core Implementation

  • Driver Implementation (driver.go): Entry point with version tracking
    and configuration options
  • Database Management (database.go): Connection lifecycle management
    with comprehensive validation
  • Connection Handling (connection.go): Core connection implementation
    with metadata operations
  • Statement Execution (statement.go): SQL query execution with Arrow
    result conversion

Key Features

  • Complete ADBC Interface Compliance: Implements all required Driver,
    Database, Connection, and Statement interfaces
  • Arrow-Native Results: Converts SQL result sets to Apache Arrow format
    for efficient data processing
  • Comprehensive Configuration: Supports all Databricks connection
    options (hostname, HTTP path, tokens, catalogs, schemas, timeouts)
  • Metadata Discovery: Implements catalog, schema, and table enumeration
  • Type Mapping: Full SQL-to-Arrow type conversion with proper null
    handling
  • Error Handling: Comprehensive error reporting with ADBC error codes

Test Organization

  • Moved all tests to dedicated test/ subdirectory for better
    organization
  • Updated package structure to use databricks_test package with proper
    imports
  • Comprehensive test coverage including:
    • Unit tests for driver/database creation and validation
    • End-to-end integration tests with real Databricks connections
    • NYC taxi dataset verification (21,932 rows successfully processed)
    • Practical query tests for common SQL operations
    • ADBC validation test suite integration

Performance & Verification

  • Real Data Testing: Successfully connects to Databricks and processes NYC
    taxi dataset
  • Performance Metrics: Achieves 7-12 rows/ms query processing rate
  • Schema Discovery: Handles 10+ catalogs, 1,600+ schemas, 900+ tables
  • Type Safety: Proper Arrow type mapping for all Databricks SQL types

Code Quality

  • Pre-commit compliance: All linting, formatting, and static analysis
    checks pass
  • Error handling: All error return values properly handled (errcheck
    compliant)
  • Go formatting: Consistent code formatting with gofmt
  • License compliance: Apache license headers on all files

Testing

The driver has been thoroughly tested with:

  • Real Databricks SQL warehouse connections
  • Large dataset processing (21,932 NYC taxi records)
  • All ADBC interface methods
  • Error handling and edge cases
  • Performance and memory usage

All tests pass and demonstrate full functionality for production use.

Breaking Changes

None - this is a new driver implementation.

@jadewang-db jadewang-db requested a review from zeroshade as a code owner June 19, 2025 00:54
@github-actions github-actions bot added this to the ADBC Libraries 19 milestone Jun 19, 2025
@zeroshade
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I'll give this a full review tomorrow, but it looks like you're wrapping something that uses the database/sql API, it might make more sense to just have a generic adapter for doing that instead of something Databricks specific?

@jadewang-db
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I'll give this a full review tomorrow, but it looks like you're wrapping something that uses the database/sql API, it might make more sense to just have a generic adapter for doing that instead of something Databricks specific?

I can do that if possible, but likely we will need some extension, because seems the database/sql is not arrow based, in order to make this an performant driver, it's better to use arrow directly. maybe extend the database/sql to have arrow functionality.

I am not a go expert, suggestion welcomed.

@zeroshade
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maybe extend the database/sql to have arrow functionality.

Because database/sql is part of the Go standard library, it's not really possible to easily extend it. The better solution is to simply expose an alternate arrow based API to the database/sql driver implementation

@jadewang-db jadewang-db requested a review from lidavidm June 20, 2025 20:16
@jadewang-db
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maybe extend the database/sql to have arrow functionality.

Because database/sql is part of the Go standard library, it's not really possible to easily extend it. The better solution is to simply expose an alternate arrow based API to the database/sql driver implementation

thanks, I will later double check if we can use database/sql plus some interface defined in adbc repo together make this happen. after that, drivers for other database can just implement database/sql plus this interface to use this.

@zeroshade
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We already have https://pkg.go.dev/github.com/apache/arrow-adbc/go/adbc@v1.6.0/sqldriver which is a wrapper around the ADBC interface which will provide a database/sql interface to any ADBC driver 😄

@jadewang-db
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We already have https://pkg.go.dev/github.com/apache/arrow-adbc/go/adbc@v1.6.0/sqldriver which is a wrapper around the ADBC interface which will provide a database/sql interface to any ADBC driver 😄

so it has row to arrow conversion?

@zeroshade
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zeroshade commented Jun 20, 2025

Other way around, it does Arrow to row conversion. The use case is as an adapter on top of any ADBC driver to get a row oriented database/sql interface so you only have to provide the Arrow-based API.

The preferred result here is still to have databricks-sql-go expose the Arrow interface externally and then use that here to build the driver

@jadewang-db
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jadewang-db commented Jun 20, 2025 via email

@zeroshade
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You could always have your driver implement the ADBC interfaces that are defined in the adbc module 😄

Alternately, you could add extra QueryContext functions that return Arrow streams and arrow schemas etc to the driver?

@jadewang-db jadewang-db changed the title feat(go/adbc/driver/databricks): implement Databricks ADBC driver with comprehensive test suite feat(go/adbc): Initial implement Databricks ADBC driver Jul 24, 2025
@jadewang-db
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@zeroshade @lidavidm we recently release the databricks-sql-go driver with raw IPC stream support, can you help take a look at the PR again?

@jadewang-db jadewang-db changed the title feat(go/adbc): Initial implement Databricks ADBC driver feat(go/adbc): Initial implement Databricks go ADBC driver Jul 28, 2025
@felipecrv
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I will review this as soon as I can this or next week.

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I didn't look through everything, just some initial comments

// This is a basic test to ensure the code compiles
// Real tests would require a connection to Databricks

_ = context.Background()
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nit: why do we need this?

databricks.OptionHTTPPath: "mock-path",
})
assert.NoError(t, err)
_ = db // Avoid unused variable
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maybe defer CheckedClose(t, db)?

Comment on lines +49 to +55
func TestIPCReaderAdapterCompileTime(t *testing.T) {
// Test that ipcReaderAdapter implements array.RecordReader
// This ensures our interface definitions are correct

// This is a compile-time check - if it compiles, the test passes
t.Log("IPC reader adapter implements required interfaces")
}
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unfinished test?

Comment on lines +212 to +218
func (s *statementImpl) BindStream(ctx context.Context, stream array.RecordReader) error {
// For simplicity, we'll just bind the first record
if stream.Next() {
return s.Bind(ctx, stream.Record())
}
return nil
}
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That...would be surprising to run into. Usually the drivers store a stream and convert records to streams, not the other way around

continue
}

// Take the first value from each column
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That would also be surprising.

Msg: fmt.Sprintf("failed to get raw connection: %v", err),
}
}
defer func() { _ = conn.Close() }()
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Ideally we record the error?

}

// Get raw connection to access Arrow batches directly
conn, err := s.conn.db.Conn(ctx)
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Hmm, are we potentially getting a different connection from the pool each time? Wouldn't that surprise users?

Comment on lines +81 to +95
serverHostname: d.serverHostname,
httpPath: d.httpPath,
accessToken: d.accessToken,
port: d.port,
catalog: d.catalog,
dbSchema: d.schema,
queryTimeout: d.queryTimeout,
maxRows: d.maxRows,
queryRetryCount: d.queryRetryCount,
downloadThreadCount: d.downloadThreadCount,
sslMode: d.sslMode,
sslRootCert: d.sslRootCert,
oauthClientID: d.oauthClientID,
oauthClientSecret: d.oauthClientSecret,
oauthRefreshToken: d.oauthRefreshToken,
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If we're just going to forward them all, maybe factor into a separate struct that can be passed with a Validate method or something?


const (
// Connection options
OptionServerHostname = "adbc.databricks.server_hostname"
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while it's been the convention so far and while I suppose we won't type the actual string very often

I've started to wonder if we can't just make the option databricks... without having to prefix everything with adbc, and save a cycle or two of redundant comparisons

Comment on lines +106 to +111
if tt.wantErr {
assert.Error(t, err)
} else {
// Even valid options will fail without real credentials, so expect error
assert.Error(t, err)
}
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Um, doesn't this defeat the point of the test? Is there some way to differentiate between the failures?

@jasonlin45
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jasonlin45 commented Aug 21, 2025

@jadewang-db @lidavidm @felipecrv

With @jadewang-db's blessing, I have addressed feedback and fixed a few items here in a separate PR: #3325

@felipecrv
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I'm closing this one in favor of @jasonlin45's PR.

@felipecrv felipecrv closed this Sep 3, 2025
felipecrv pushed a commit that referenced this pull request Oct 24, 2025
…3325)

This PR is a continuation of
#2998

Key changes from Jade's PR:
- sql.DB has been pushed up to Database as a stored connection pool
- Connections are no longer pooled on adbc Connections - the raw
connection is persisted
- Bind and BindStream are marked as todo rather than partial
implementations
- Redundant tests have been cleaned up
- Reference counting was implemented on the custom IPC reader which was
causing readers to be prematurely destroyed before consumption

**Connection Pooling**
Databricks offers a `sql.DB` struct which manages a connection pool.
This is now initialized on the ADBC `Database` struct when connections
are opened and re-used if no options have changed on the Database.

Connections can be obtained from the pool which are stored on the ADBC
Connection.

---------

Co-authored-by: Jade Wang <jade.wang@databricks.com>
amoeba pushed a commit to adbc-drivers/databricks that referenced this pull request Dec 22, 2025
This PR is a continuation of
apache/arrow-adbc#2998

Key changes from Jade's PR:
- sql.DB has been pushed up to Database as a stored connection pool
- Connections are no longer pooled on adbc Connections - the raw
connection is persisted
- Bind and BindStream are marked as todo rather than partial
implementations
- Redundant tests have been cleaned up
- Reference counting was implemented on the custom IPC reader which was
causing readers to be prematurely destroyed before consumption

**Connection Pooling**
Databricks offers a `sql.DB` struct which manages a connection pool.
This is now initialized on the ADBC `Database` struct when connections
are opened and re-used if no options have changed on the Database.

Connections can be obtained from the pool which are stored on the ADBC
Connection.

---------

Co-authored-by: Jade Wang <jade.wang@databricks.com>
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5 participants