Hi All,

Supporting register table/view in CLI (and the setup command)
sounds reasonable to me.

Exporting tables/views should probably pair with "register".

As for create, I agree that it is beyond the scope of Polaris CLI.

If we want to support downloading metadata to local storage for later
"re-create from scratch" operations (in a different location), this is
probably something that could be supported in the Migrator Tool [1]. I
suppose the tool can already perform that by sync'ing to a file-based
catalog. However, IIRC, it cannot alter locations by itself.

[1]
https://github.com/apache/polaris-tools/tree/main/iceberg-catalog-migrator

Cheers,
Dmitri.

On Mon, Sep 14, 2026 at 11:08 AM Jean-Baptiste Onofré <[email protected]>
wrote:

> Hey guys
>
> +1 for the sequencing: register -> setup export/apply + table/view
> grants -> optional file-based create.
>
> I checked in the code, and it's maybe easier than it might look:
> 1. registerTable/registerView are already in
> spec/iceberg-rest-catalog-open-api.yaml and already implemented
> server-side (IcebergCatalogAdapter). Since the CLI IcebergCatalogAPI
> client is generated straight from the spec, the register methods
> should already exist in the generated client. This is likely just
> wiring a register subcommand into tables.py/views.py next to the
> existing list/get/delete/summarize, no server or SDK work needed.
> 2. _create_catalog_roles in setup.py explicitly detects table/view
> privileges and warns that they are ignored, and there's no table/view
> export at all. So that's a well-scoped follow-up once register lands.
> 3. Regarding pyiceberg, I'm not convinced we should adopt it. It's
> already a dependency, but scoped only to integration tests. It's never
> used by the CLI commands themselves. Pulling it ino the CLI "runtime"
> would be a new surface area rather than reuse, and it doesn't even
> solve the problem since pyiceberg own CLI has no register/create-table
> today either.
>
> So, I think with register support for tables/views, we would have
> something "clean".
>
> Regards
> JB
>
> On Mon, Sep 14, 2026 at 5:18 AM Yong Zheng <[email protected]> wrote:
> >
> > Hello Prithvi,
> >
> > The plan sounds good to me and thanks highlight the map around
> privileges gaps on tables/views with existed setup command. I will work on
> register then the grants in the upcoming weeks while waiting for more
> feedback from community around this topic.
> >
> > Thanks,
> > Yong
> >
> > On 2026/09/13 11:54:56 Prithvi S wrote:
> > > Hi Yong,
> > >
> > > I agree with starting on `tables` / `views` before `setup`, and with
> > > keeping create out of long CLI flags. I would split register and
> create,
> > > though :) they solve different problems.
> > >
> > > Register is the piece that unblocks the discussion. The server already
> has
> > > Iceberg REST register / register-view; the CLI just does not expose
> them.
> > > Name + metadata location (the metadata.json, not a manifest) is a
> natural
> > > command, and it is the right apply primitive for setup, export
> identifier +
> > > location, apply via register. That preserves existing history. Create
> would
> > > mint a new table/view, which is not what operators asked for in
> > > https://github.com/apache/polaris/discussions/5481.
> > > Create can come later, from an input file the way `policies create
> > > --policy-file` works. Prefer Iceberg REST CreateTableRequest /
> > > CreateViewRequest JSON over a new schema dialect. Views are tractable;
> > > tables are still messy, just in a file. Engines already create well,
> so I
> > > would not gate register or setup on this.
> > >
> > > On pyiceberg: I would not adopt their CLI. It has no create-table or
> > > register today, and Polaris CLI is an admin tool (profiles, privileges,
> > > policies, setup) with a different auth story. The generated Iceberg
> REST
> > > client we already use for list/get/drop is enough for register, and for
> > > create-from-JSON later. Using pyiceberg as a library would be a new
> runtime
> > > dependency; worth revisiting only if we want a friendlier schema than
> REST
> > > JSON.
> > > Once register exists, setup should export/apply tables and views that
> way,
> > > and also table/view privileges. `polaris privileges table|view grant`
> > > already works, but setup export skips those grants and apply currently
> > > warns and ignores them. That is the other half of
> > > https://github.com/apache/polaris/discussions/5481.
> > >
> > > Does that sequencing feel right? register first, then setup +
> table/view
> > > grants, then optional file-based create? WDYT?
> > >
> > > Thanks,
> > > Prithvi S
> > >
> > > On Sun, Sep 13, 2026 at 8:05 AM Yong Zheng <[email protected]> wrote:
> > >
> > > > Hello,
> > > >
> > > > Recently we got a discussion from community where people are looking
> for
> > > > additional tables/views management in Polaris CLi:
> > > > https://github.com/apache/polaris/discussions/5481
> > > >
> > > > From the request, community would like to support tables/views
> creation
> > > > via `setup` command. We already have some supports around
> tables/views in
> > > > existed polaris CLI and here are what we supported as of today:
> > > >
> > > > Tables:
> > > > 1. list
> > > > 2. get
> > > > 3. summarize
> > > > 4. delete (de-register)
> > > >
> > > > Views:
> > > > 1. list
> > > > 2. get
> > > > 3. summarize
> > > > 4. delete
> > > >
> > > > So to support the requested feature, we will need to support at least
> > > > "register" and "create" for both tables and views. Lets start focus
> on
> > > > standard "tables" and "views" commands before we go over "setup"
> command
> > > > which is what been requested.
> > > >
> > > > For register support in "tables" and "views" commands, this is easy
> to
> > > > implement as we will just need users to provide the target view name
> and
> > > > manifest location. This is very nature imo via CLI. For the record,
> this is
> > > > not something pyiceberg support via CLI as well.
> > > >
> > > > For create support in "tables" and "views" commands, this is where
> things
> > > > can be a bit messy especially for views. Lets break down on what
> does it
> > > > takes for us to support this. Same as register, this is not something
> > > > pyiceberg support via CLI as well.
> > > >
> > > > Create view support:
> > > > For this one, we would only need a view parameters such as sql type,
> sql
> > > > itself, dialect, and couple metadata such as engine name and engine
> > > > version. However, this is about 5-6 extra parameters that we would
> need to
> > > > support in CLI to be able to support this. We would do similar route
> with
> > > > policy creation where we would ask user to pass in an input file that
> > > > contains those content to avoid lengthy command.
> > > >
> > > > Create table support:
> > > > For this one, this is where things can be very messy IMO. Unlike
> create
> > > > view, create table can be a lot more complex as we will need to
> provide a
> > > > lot more info such as schema, partition spec, sort order. The most
> > > > problematic part would be schema as it can be very complex and
> nested.
> > > > Personally, I don't think this is something we should support via CLI
> > > > unless this is layout in an input file (similar to policy).
> > > >
> > > > Now back to adding the request support, I do think this is do-able
> but we
> > > > should avoid pass-in length arguments for the command. Instead, we
> should
> > > > support those operations via input file instead (match to how we are
> > > > creating policy).
> > > >
> > > > Lastly, we can write our own modules for those as how we are doing
> those
> > > > for the existed commands around tables/views commands. I am
> wondering if we
> > > > should consider adopt pyiceberg into polaris cli and use their SDK
> instead
> > > > of reinventing the wheels here.
> > > >
> > > > What do you think? Is this something we are planning to support?
> > > >
> > > > Thanks,
> > > > Yong
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > >
>

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