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feat(go/adbc): Initial implement Databricks go ADBC driver #2998
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I'll give this a full review tomorrow, but it looks like you're wrapping something that uses the |
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. |
Because |
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. |
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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 |
so it has row to arrow conversion? |
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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 The preferred result here is still to have |
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ah, I am mainly thinking a wrapper for any database/sql driver to acting as
a adbc driver, and with some extra interface to avoid arrow data conversion.
…On Fri, Jun 20, 2025 at 2:33 PM Matt Topol ***@***.***> wrote:
*zeroshade* left a comment (apache/arrow-adbc#2998)
<#2998 (comment)>
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
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You could always have your driver implement the ADBC interfaces that are defined in the Alternately, you could add extra QueryContext functions that return Arrow streams and arrow schemas etc to the driver? |
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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? |
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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 | ||
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| _ = 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)?
| func TestIPCReaderAdapterCompileTime(t *testing.T) { | ||
| // Test that ipcReaderAdapter implements array.RecordReader | ||
| // This ensures our interface definitions are correct | ||
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| // 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?
| 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 | ||
| } | ||
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| // 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?
| } | ||
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| // 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?
| 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?
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| 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
| 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?
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@jadewang-db @lidavidm @felipecrv With @jadewang-db's blessing, I have addressed feedback and fixed a few items here in a separate PR: #3325 |
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I'm closing this one in favor of @jasonlin45's PR. |
…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>
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>
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-golibrary and implements allrequired ADBC interfaces.
Changes
Core Implementation
driver.go): Entry point with version trackingand configuration options
database.go): Connection lifecycle managementwith comprehensive validation
connection.go): Core connection implementationwith metadata operations
statement.go): SQL query execution with Arrowresult conversion
Key Features
Database, Connection, and Statement interfaces
for efficient data processing
options (hostname, HTTP path, tokens, catalogs, schemas, timeouts)
handling
Test Organization
test/subdirectory for betterorganization
databricks_testpackage with properimports
Performance & Verification
taxi dataset
Code Quality
checks pass
compliant)
gofmtTesting
The driver has been thoroughly tested with:
All tests pass and demonstrate full functionality for production use.
Breaking Changes
None - this is a new driver implementation.