Hi Adrian, I attached them to my reply and I'm not sure if the files get filtered. Let me know if you still can't see them. Maybe I should push to the repo instead.
On Mon, Apr 7, 2025 at 10:58 AM Adrian Garcia Badaracco <adr...@pydantic.dev.invalid> wrote: > Amazing Aihua, thanks so much! > > Sorry if I just missed it but... where are the files you created? I don't > see them in the repo / issue / this thread. > > On Mon, Apr 7, 2025 at 12:54 PM Aihua Xu <aihu...@gmail.com> wrote: > > > I have created some test files attached during the development, one is > > without shredding and one is with shredding. > > > > As David pointed out, it's missing the Variant logical type but you can > > use that as reference and as a start. > > > > On Mon, Apr 7, 2025 at 3:50 AM Andrew Lamb <andrewlam...@gmail.com> > wrote: > > > >> I filed a ticket to track this work[1] and also perhaps to gather some > >> additional help / collaboration. > >> > >> [1]: https://github.com/apache/parquet-testing/issues/75 > >> > >> On Mon, Apr 7, 2025 at 6:02 AM Andrew Lamb <andrewlam...@gmail.com> > >> wrote: > >> > >> > Thank you very much David > >> > > >> > I will try to create some examples this week and report back. > >> > > >> > Andrew > >> > > >> > On Sun, Apr 6, 2025 at 4:48 PM David Cashman > >> > <david.cash...@databricks.com.invalid> wrote: > >> > > >> >> Hi Andrew, you should be able to create shredded files using OSS > Spark > >> >> 4.0. I think the only issue is that it doesn't have the logical type > >> >> annotation yet, so readers wouldn't be able to distinguish it from a > >> >> non-variant struct that happens to have the same schema. (Spark is > >> >> able to infer that it is a Variant from the > >> >> `org.apache.spark.sql.parquet.row.metadata` metadata.) > >> >> > >> >> The ParquetVariantShreddingSuite in Spark has some tests that write > >> >> and read shredded parquet files. Below is an example that translates > >> >> the first test into code that runs in spark-shell and writes a > Parquet > >> >> file. The shredding schema is set via conf. If you want to test types > >> >> that Spark doesn't infer in parse_json (e.g. timestamp, binary), you > >> >> can use `to_variant_object` to cast structured values to Variant. > >> >> > >> >> I won't have time to work on this in the next couple of weeks, but am > >> >> happy to answer any questions. > >> >> > >> >> Thanks, > >> >> > >> >> David > >> >> > >> >> scala> import org.apache.spark.sql.internal.SQLConf > >> >> scala> spark.conf.set(SQLConf.VARIANT_WRITE_SHREDDING_ENABLED.key, > >> true) > >> >> scala> spark.conf.set(SQLConf.VARIANT_ALLOW_READING_SHREDDED.key, > true) > >> >> scala> > >> spark.conf.set(SQLConf.VARIANT_FORCE_SHREDDING_SCHEMA_FOR_TEST.key, > >> >> "a int, b string, c decimal(15, 1)") > >> >> scala> val df = spark.sql( > >> >> | """ > >> >> | | select case > >> >> | | when id = 0 then parse_json('{"a": 1, "b": "2", "c": > >> >> 3.3, "d": 4.4}') > >> >> | | when id = 1 then parse_json('{"a": [1,2,3], "b": > >> >> "hello", "c": {"x": 0}}') > >> >> | | when id = 2 then parse_json('{"A": 1, "c": 1.23}') > >> >> | | end v from range(3) > >> >> | |""".stripMargin) > >> >> scala> df.write.mode("overwrite").parquet("/tmp/shredded_test") > >> >> scala> spark.read.parquet("/tmp/shredded_test").show > >> >> +--------------------+ > >> >> | v| > >> >> +--------------------+ > >> >> |{"a":1,"b":"2","c...| > >> >> |{"a":[1,2,3],"b":...| > >> >> | {"A":1,"c":1.23}| > >> >> +--------------------+ > >> >> > >> >> > >> >> On Sun, Apr 6, 2025 at 2:54 PM Andrew Lamb <andrewlam...@gmail.com> > >> >> wrote: > >> >> > > >> >> > Can someone (pretty pretty) please give us some binary examples so > we > >> >> can > >> >> > make faster progress on the Rust implementation? > >> >> > > >> >> > We recently got exciting news[1] that folks from the CMU database > >> group > >> >> > have started working on the Rust implementation of variant, and I > >> would > >> >> > very much like to encourage and support their work. > >> >> > > >> >> > I am willing to do some legwork (make a PR to parquet-testing for > >> >> example) > >> >> > if someone can point me to the files (or instructions on how to use > >> some > >> >> > system to create variants). > >> >> > > >> >> > I was hoping that since the VARIANT format[2] and draft shredding > >> >> spec[3] > >> >> > have been in the repo for 6 months (since October 2024) , it would > be > >> >> > straightforward to provide some examples. Do we know anything that > is > >> >> > blocking the creation of examples? > >> >> > > >> >> > Andrew > >> >> > > >> >> > [1]: > >> >> > https://github.com/apache/arrow-rs/issues/6736#issuecomment-2781556103 > >> >> > [2]: > >> >> > >> https://github.com/apache/parquet-format/blob/master/VariantEncoding.md > >> >> > [3]: > >> >> > > >> >> > >> > https://github.com/apache/parquet-format/blob/master/VariantShredding.md > >> >> > > >> >> > > >> >> > On Wed, Mar 5, 2025 at 3:58 PM Julien Le Dem <jul...@apache.org> > >> wrote: > >> >> > > >> >> > > That sounds like a great suggestion to me. > >> >> > > > >> >> > > On Wed, Mar 5, 2025 at 12:41 PM Andrew Lamb < > >> andrewlam...@gmail.com> > >> >> > > wrote: > >> >> > > > >> >> > > > I would like to request before the VARIANT spec changes are > >> >> finalized > >> >> > > that > >> >> > > > we have example data in parquet-testing. > >> >> > > > > >> >> > > > This topic came up (well, I brought it up) on the sync call > >> today. > >> >> > > > > >> >> > > > In my opinion, having example files would reduce the overhead > of > >> new > >> >> > > > implementations dramatically. At least there should be example > of > >> >> > > > * variant columns (no shredding) > >> >> > > > * variant columns with shredding > >> >> > > > > >> >> > > > Some description of what those files contained ("expected > >> >> contents"). For > >> >> > > > prior art, here is what Dewey did for the geometry type[1][2]. > >> >> > > > > >> >> > > > When looking for prior discussions, I found a great quote from > >> Gang > >> >> Wu[3] > >> >> > > > on this topic: > >> >> > > > > >> >> > > > > I'd say that a lesson learned is that we should publish > >> example > >> >> files > >> >> > > > for any > >> >> > > > > new feature to the parquet-testing [1] repo for > >> interoperability > >> >> tests. > >> >> > > > > >> >> > > > Thank you for your consideration, > >> >> > > > Andrew > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > [1] https://github.com/apache/parquet-testing/pull/70 > >> >> > > > [2] https://github.com/geoarrow/geoarrow-data > >> >> > > > [3]: > >> >> https://lists.apache.org/thread/71d7p9lprhf514jnt5dgnw4wfmn8ykzt > >> >> > > > > >> >> > > > >> >> > >> > > >> > > >
