+1 (binding)

On Mon, May 18, 2026 at 5:07 PM Menelaos Karavelas <
[email protected]> wrote:

> +1 (non-binding)
>
> On May 18, 2026, at 9:00 AM, serge rielau.com <[email protected]> wrote:
>
> +1
>
> On May 15, 2026, at 6:07 PM, Stefan Kandic via dev <[email protected]>
> wrote:
>
> +1
>
> *From: *Max Gekk <[email protected]>
> *Date: *Friday, 15 May 2026 at 09:53
> *To: *dev <[email protected]>
> *Subject: *Re: [VOTE] SPIP: Timestamps with nanosecond precision
>
> +1
>
> On Fri, May 15, 2026 at 9:15 AM Max Gekk <[email protected]> wrote:
>
> Hi Spark devs,
>
> I would like to call a vote on adopting the following SPIP as an official
> Spark SPIP, following the discussion on the list.
> Motivation
> Spark SQL today exposes TIMESTAMP / TIMESTAMP_NTZ / TIMESTAMP_LTZ at
> microsecond precision. Nanosecond timestamps are increasingly common in ORC
> and in ecosystems such as Oracle, MS SQL Server, Trino, Snowflake, and
> DuckDB. Spark often rejects Parquet TIMESTAMP(NANOS, …) or, with legacy
> flags, reads it as LongType, which drops timestamp semantics and time-zone
> behavior. Users are forced to pre-normalize to micros or maintain custom
> conversion logic.
>
> This SPIP aims to add first-class nanosecond-capable timestamps in SQL and
> APIs, with a clear fractional precision parameter, while keeping a
> practical migration path for existing microsecond workloads.
> Proposal (summary)
>
>    - SQL surface: TIMESTAMP_NTZ(n), TIMESTAMP_LTZ(n), and TIMESTAMP(n)
>    (including WITHOUT TIME ZONE / WITH LOCAL TIME ZONE spellings), with
>    optional n in [0, 9]. The scope for the initial milestone focuses on 7 <= n
>    <= 9; unparameterized types keep today’s defaults.
>    - New Catalyst types: additive parameterized types (e.g.
>    TimestampNTZNanosType(n) / companion for LTZ) rather than silently widening
>    existing singleton types.
>    - Logical value model: epochMicros (long) + nanosOfMicro in [0, 999]
>    (short) with a single normalization rule, so Spark continues to build on
>    the existing microsecond datetime “currency” while adding a bounded
>    sub-micro correction.
>    - Scope boundaries: explicit non-goals (e.g. not redefining NTZ/LTZ
>    session semantics, not promising every connector end-to-end in v1),
>    risks/mitigations, rough ~25 person-week estimate and success “exams” are
>    documented in the SPIP and JIRA.
>
> Full detail, API tables, rejected alternatives, and test/migration
> criteria are in the SPIP document and JIRA description.
>
> Relevant links
>
>    - SPIP (Google Doc):
>    
> https://docs.google.com/document/d/1DeW15QueI4PdRyPm6C6jsTZFmIjbXX2j4h-Ja5W_fsg/edit?usp=sharing
>    - Discussion thread:
>    https://lists.apache.org/thread/xvv4qt9dpnb1kszxdqlxyv9b46749ypo
>    - JIRA: https://issues.apache.org/jira/browse/SPARK-56822
>
> Vote
> Please vote on accepting this proposal as an official SPIP (the SPIP text
> above; implementation and follow-up JIRAs can land incrementally after
> acceptance).
> [ ] +1: Accept the proposal as an official SPIP
> [ ] +0: No opinion
> [ ] -1: I do not think we should adopt this SPIP (please explain why)
> The vote will remain open for at least 72 hours.
>
> Thanks to everyone who commented on the discussion thread and helped
> refine the design.
>
> Best regards,
> Max Gekk
>
>
>
>

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