I reply in the GitHub PR.

In short, the idea that extending spark-sql to support Connect makes sense, but 
I have some concerns about the current approach - just building from the 
scratch start with a while loop ...

Thanks,
Cheng Pan



> On Jul 21, 2026, at 10:10, Dhruv Pratap <[email protected]> wrote:
> 
> Hi Cheng Pan,
> 
> Yes, I'd seen SPARK-54002 / #52706; nice addition, and I see it as 
> complementary rather than overlapping. It gives an SQL CLI over Connect via 
> BeeLine (the Hive sqlline client) + a JDBC driver; the proposal here is 
> native `spark-sql --remote sc://...` the actual spark-sql command on the 
> Spark Connect client directly (as spark-shell/pyspark --remote already do),
> no JDBC layer.
> 
> Why native still seems worth it alongside BeeLine:
> - UX continuity: spark-sql users/scripts just add --remote, no tool switch 
> for an edge-node -> remote-compute migration.
> - Consistency: spark-shell/spark-submit/pyspark all have native --remote 
> under SPARK-49194; spark-sql is the only interactive entry point that doesn't.
> - Minimal, Hive-free stack: no JDBC driver or Hive-derived client. Aligned 
> with the enterprises, such as ours, is moving off of Hive-coupled tooling 
> that Connect is about.
> 
> Does that make sense? Also, I've moved the PR to ready-for-review. Keen on 
> your view.
> 
> - PR (ready for review): https://github.com/apache/spark/pull/57383
> - JIRA: SPARK-58227 <https://issues.apache.org/jira/browse/SPARK-58227>  
> 
> Thanks,
> Dhruv Pratap (Netflix) 
> Apache JIRA: dhruvpratap
> 
> 
> On Mon, Jul 20, 2026 at 8:25 PM Cheng Pan <[email protected] 
> <mailto:[email protected]>> wrote:
>> Just wondering if you have noticed SPARK-54002 
>> (https://github.com/apache/spark/pull/52706), which makes BeeLine support 
>> the Spark Connect JDBC driver and provides an SQL CLI to connect to the 
>> Connect Server, providing a similar experience to spark-sql.
>> 
>> Thanks,
>> Cheng Pan
>> 
>> 
>> 
>>> On Jul 21, 2026, at 00:50, Dhruv Pratap via dev <[email protected] 
>>> <mailto:[email protected]>> wrote:
>>> 
>>> Hi all,
>>> 
>>> The Spark Connect entry-point umbrella (SPARK-49194) has landed Connect 
>>> support for spark-shell (SPARK-48936), spark-submit (SPARK-48960), and 
>>> pyspark. The one interactive entry point still missing it is the spark-sql 
>>> CLI: there is currently no way to run spark-sql against a Connect server 
>>> (spark-sql --remote sc://...).
>>> 
>>> Before writing any code, two questions for the Connect maintainers:
>>> 
>>> 1. Tracking: should this be a sub-task under SPARK-49194, or a new ticket? 
>>> The umbrella lists pyspark/spark-shell/spark-submit and its sub-tasks are 
>>> all resolved, so I want to confirm the right home.
>>> 2. Process: does this warrant a SPIP, or is it an incremental improvement 
>>> completing the already-accepted Connect pattern? It is user-facing but adds 
>>> no new public API (details below).
>>> 
>>> Proposed approach (kept minimal):
>>> - A new SparkConnectSQLCLIDriver in sql/connect/client/jvm, selected on 
>>> --remote / spark.api.mode=connect, mirroring how ConnectRepl backs 
>>> spark-shell --remote (SPARK-48936).
>>> - Builds a remote session via SparkSession.builder().client(...), runs 
>>> statements via spark.sql(...), and formats results client-side.
>>> - No change to the existing SparkSQLCLIDriver / sql/hive-thriftserver path; 
>>> the legacy driver stays the default. No existing public API changes.
>>> - MVP first (-e/-f + interactive loop + basic output); follow-ups for full 
>>> Hive-style output parity.
>>> 
>>> I have a short design write-up I can share/attach to the JIRA.
>>> 
>>> This is complementary to the draft "Add Unified Spark CLI" PR (#57313, cc 
>>> @nchammas): that unifies the bin/ scripts and its sql subcommand currently 
>>> wraps the existing spark-sql shell, so a Connect-native spark-sql would 
>>> slot under it cleanly. Happy to coordinate to avoid duplicate CLI churn.
>>> 
>>> Thanks,
>>> Dhruv Pratap (Netflix)
>>> Apache JIRA: dhruvpratap
>>> [email protected] <mailto:[email protected]>  ·  [email protected] 
>>> <mailto:[email protected]>

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