https://github.com/apache/parquet-format/pull/449

I've draft a pull request here

Best,
Xuwei Fu

wish maple <maplewish...@gmail.com> 于2024年8月16日周五 13:46写道:

> Currently in our Parquet format, we have multiple null_count and
> distinct_count:
>
> 1. Statistics::null_count, which is an optional null-count
> 2. ColumnIndex::null_counts, which is similar to Statistics::null_count,
> but storing
>     in page index
> 3. DataPageHeaderV2::num_nulls, which means "null values count" in a data
> page
> 4. Statistics::distinct_count, which is an optional distinct-count
>
> I've checked the implementation in Parquet-C++, Parquet-Java and
> parquet-rs, for
> null-count:
> On writer side:
> * Parquet-Java and Parquet-C++ would always write null_count, even
>    if the null_count is 0 or the column is a non-nullable column
> * Parquet-rs would not write null_count if null count is 0 previously.
> This is likely to be
>    fixed in [1]
>
> The column-index would be similar.
>
> On reader side:
> * Parquet-java requires `null_count` to be set, otherwise it would regard
> the statistics as
>    "might contains null or not" [2]
> * Parquet-rs regard `num_nulls > 0` as has_nulls, and don't check the
> existence of null
>   [3]. The same properties is `num_nulls >= 0` in parquet-java [4]
>
> For num_nulls, I suggest:
> 1. Writer side should better write num_nulls / null_count even when
> num_nulls is
>     0 or column is not nullable
> 2. Reader should distinguish whether the null-count is set or not. When
> reading a
>     file from parquet-rs. We can convert num-nulls = 0 when it's not set?
>
> distinct_count is more weird in this. I‘ve checked this and find there're
> merely
> implementations that use this. So I wonder
> 1. Would this be exact?
> 2. Is there any use-cases for this?
>
> [1] https://github.com/apache/arrow-rs/issues/6256
> [2]
> https://github.com/apache/parquet-java/blob/d4384d3f2e7703fab6363fd9cd80a001e9561db2/parquet-hadoop/src/main/java/org/apache/parquet/filter2/statisticslevel/StatisticsFilter.java#L93
> [3]
> https://github.com/apache/arrow-rs/blob/042d725888358c73cd2a0d58868ea5c4bad778f7/parquet/src/file/statistics.rs#L401
> [4]
> https://github.com/apache/parquet-java/blob/master/parquet-column/src/main/java/org/apache/parquet/column/statistics/Statistics.java#L532
>
> Best,
> Xuwei Fu
>

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