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GH-44010: [C++] Add arrow::RecordBatch::MakeStatisticsArray()
#44252
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@pitrou @ianmcook What do you think about this? Statistics schema https://github.com/apache/arrow/pull/43553/files#diff-f3758fb6986ea8d24bb2e13c2feb625b68bbd6b93b3fbafd3e2a03dcdc7ba263R86-R95 is compact but it may be complex to build. Because it uses many nested types. |
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const std::shared_ptr<DataType>& operator()(const int64_t&) { return int64(); } | ||
const std::shared_ptr<DataType>& operator()(const uint64_t&) { return uint64(); } | ||
const std::shared_ptr<DataType>& operator()(const double&) { return float64(); } | ||
const std::shared_ptr<DataType>& operator()(const std::string&) { return utf8(); } |
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I may forgot a bit but we don't distinct "bytes" and "utf8" in stats?
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Ah, we didn't discuss it...
Let's discuss it in #44579.
We can assume "utf8" here for now.
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We can add a // TODO(GH-44579)
here?
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Yes. I should have added it...
I've added it.
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Oh, I forgot to push the commit... I pushed now.
@@ -80,6 +80,24 @@ struct ArrowArray { | |||
void* private_data; | |||
}; | |||
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# define ARROW_STATISTICS_KEY_AVERAGE_BYTE_WIDTH_EXACT "ARROW:average_byte_width:exact" |
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Don't know constexpr std::string_view is better or this is better
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We can't use constexpr
because this header may be used by C programs.
statistics.nth_statistics = 0; | ||
statistics.start_new_column = true; | ||
statistics.nth_column = std::nullopt; | ||
statistics.key = ARROW_STATISTICS_KEY_ROW_COUNT_EXACT; |
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So RowCount is also handled as a stats 🤔?
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Statistics array will be passed to consumer before consumer receives a record batch.
So this may be useful for consumer.
But DuckDB doesn't have row count in its BaseStatistics
...: https://github.com/duckdb/duckdb/blob/670cd341249e266de384e0341f200f4864b41b27/src/include/duckdb/storage/statistics/base_statistics.hpp#L38-L146
This may not be useful...
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Let's keep this for now to demonstrate table/record batch level statistics.
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Will take a careful pass tonight
const std::shared_ptr<DataType>& operator()(const int64_t&) { return int64(); } | ||
const std::shared_ptr<DataType>& operator()(const uint64_t&) { return uint64(); } | ||
const std::shared_ptr<DataType>& operator()(const double&) { return float64(); } | ||
const std::shared_ptr<DataType>& operator()(const std::string&) { return utf8(); } |
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We can add a // TODO(GH-44579)
here?
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General LGTM but I'm not an expert on C ABI and data layer
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// Statistics schema doesn't define static dense union type for | ||
// values. Each statistics schema have a dense union type that has | ||
// needled value types. The following block collects these types. |
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So actually this is logically a "set" prepared for items
?
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Right.
If there are the same types, the first type is only used.
}; | ||
using OnStatistics = | ||
std::function<Status(const EnumeratedStatistics& enumerated_statistics)>; | ||
Status EnumerateStatistics(const RecordBatch& record_batch, OnStatistics on_statistics) { |
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So actually this is for a two-phase building, one pass for types, and one-pass for data?
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Right.
I think that it's one of complexities.
So I sent https://lists.apache.org/thread/0c9jftkspvj7yw1lpo73s3vtp6vfjqv8 to the mailing list. But nobody agreed it. So this complexity will be acceptable...
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It's a convenient function that converts `arrow::ArrayStatistics` in a `arrow::RecordBatch` to `arrow::Array` for the Arrow C data interface.
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I'll merge this in a few days is nobody objects this.
const std::shared_ptr<DataType>& operator()(const int64_t&) { return int64(); } | ||
const std::shared_ptr<DataType>& operator()(const uint64_t&) { return uint64(); } | ||
const std::shared_ptr<DataType>& operator()(const double&) { return float64(); } | ||
const std::shared_ptr<DataType>& operator()(const std::string&) { return utf8(); } |
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Oh, I forgot to push the commit... I pushed now.
After merging your PR, Conbench analyzed the 3 benchmarking runs that have been run so far on merge-commit d748ace. There were no benchmark performance regressions. 🎉 The full Conbench report has more details. It also includes information about 4 possible false positives for unstable benchmarks that are known to sometimes produce them. |
Rationale for this change
Statistics schema for Arrow C data interface (GH-43553) is complex because it uses nested types (struct, map and union). So reusable implementation to make statistics array is useful.
What changes are included in this PR?
arrow::RecordBatch::MakeStatisticsArray()
is a convenient function that convertsarrow::ArrayStatistics
in aarrow::RecordBatch
toarrow::Array
for the Arrow C data interface.Are these changes tested?
Yes.
Are there any user-facing changes?
Yes.
arrow::ArrayStatistics
toarrow::Array
for the Arrow C data interface #44010