ARROW-12028 ARROW-11940: [Rust][DataFusion] Add TimestampMillisecond support to GROUP BY/hash aggregates by velvia · Pull Request #9773 · apache/arrow

velvia · 2021-03-22T18:58:28Z

This PR adds support for TimestampMillisecondArray to Scalar, GroupByScalar, and hash_aggregate / GROUP BYs to Rust DataFusion, thus fixing 12028. I believe it might also fix 11940, though this needs input from you all.

There are some formatting changes from running cargo fmt.

…ate, GroupScalar, Scalar

velvia · 2021-03-22T19:02:37Z

@nevi-me @andygrove

alamb · 2021-03-23T22:17:55Z

Thanks @velvia -- I plan to review this tomorrow

Dandandan · 2021-03-23T22:34:58Z


 use std::{convert::TryFrom, fmt, iter::repeat, sync::Arc};

+use arrow::array::{


These imports don't seem to be necessary? The module already has array::*, ?

Oh they were reformatted by cargo fmt which is what the README told me to run.....

Dandandan · 2021-03-23T22:35:41Z

-            DataType::UInt64 => {
-                equal_rows_elem!(UInt64Array, l, r, left, right)
-            }
+            DataType::Boolean => equal_rows_elem!(BooleanArray, l, r, left, right),


Any idea why the formatting changed? Do you use a recent/stable rust/cargo/rustfmt version?

This is what I'm running, is it too old?
nightly-2020-11-25-x86_64-apple-darwin (default)

Should arrow project have a rust-toolchain to specify what version of Rust to run on?

FWIW, I tried running cargo fmt with +stable on 1.50.0 and it did not generate any new diffs compared to what I have here....

Dandandan · 2021-03-23T22:36:27Z

This looks good @velvia , I added some minor comments.

github-actions · 2021-03-24T01:24:18Z

https://issues.apache.org/jira/browse/ARROW-12028

alamb

Thanks @velvia -- overall looks good.

The only thing I think is needed for this PR is tests for grouping on columns with TimestampMillisecond.

alamb · 2021-03-24T17:36:12Z

            ScalarValue::UInt16(Some(v)) => GroupByScalar::UInt16(*v),
            ScalarValue::UInt32(Some(v)) => GroupByScalar::UInt32(*v),
            ScalarValue::UInt64(Some(v)) => GroupByScalar::UInt64(*v),
+            ScalarValue::TimeMillisecond(Some(v)) => GroupByScalar::TimeMillisecond(*v),


Should we also add support for ScalarValue::TimeMicrosecond and ScalarValue::TimeNanosecond?

Sure thing, I wasn't sure why they weren't added here....

velvia · 2021-03-29T18:02:27Z

@alamb and others: have added a test and I believe addressed comments, hope this is all needed!

alamb

Looks good to me. Thanks @velvia !

alamb · 2021-03-30T11:45:50Z

@velvia the lint job seems to have failed -- looks like the tests need to get formatted

https://github.com/apache/arrow/pull/9773/checks?check_run_id=2221026494

I tried to fix this PR by checking in the result of running cargo fmt locally, but I don't have access to push to urbanlogiq/arrow

velvia · 2021-03-30T22:33:55Z

@alamb pushed the cargo fmt fix. :)

velvia · 2021-03-31T06:47:42Z

It seems the Docker build failed but I can't click on or expand on the details.

alamb · 2021-03-31T11:36:30Z

It seems the Docker build failed but I can't click on or expand on the details.

Yeah, that has been happening recently. I don't think it is related to this PR. I plan to merge this one as soon as the remaining tests pass

@velvia

…s for Timestamp(_,_) # Rationale: If you try and aggregate (via SUM, for example) a column of a timestamp type, DataFusion generates an error: ``` Coercion from [Timestamp(Nanosecond, None)] to the signature Uniform(1, [Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64]) failed. ``` For example, from IOx ``` > show columns from t; +---------------+--------------+------------+-------------+-----------------------------+-------------+ | table_catalog | table_schema | table_name | column_name | data_type | is_nullable | +---------------+--------------+------------+-------------+-----------------------------+-------------+ | datafusion | public | t | a | Utf8 | NO | | datafusion | public | t | b | Timestamp(Nanosecond, None) | NO | +---------------+--------------+------------+-------------+-----------------------------+-------------+ 2 row in set. Query took 0 seconds. > select sum(b) from t; Plan("Coercion from [Timestamp(Nanosecond, None)] to the signature Uniform(1, [Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32, Float64]) failed.") ``` # Changes: Add support for aggregating timestamp types and tests for same # Notes Note this is follow on / more fleshing out of the work done in #9773 by @velvia (👋 thanks for adding Timestamps to `ScalarValue`) Supporting AVG on timestamps is tracked by https://issues.apache.org/jira/browse/ARROW-12318. It is more involved (as currently Avg assumes the output type is always F64), and not important for myuse case at the moment. Closes #9970 from alamb/alamb/ARROW-12277-aggregate-timestamps Authored-by: Andrew Lamb <andrew@nerdnetworks.org> Signed-off-by: Andrew Lamb <andrew@nerdnetworks.org>

Evan Chan added 2 commits March 22, 2021 11:53

[datafusion] Add support for TimestampMillisecondArray in hash_aggreg…

fa22808

…ate, GroupScalar, Scalar

cargo fmt

72f915d

github-actions Bot added Component: Rust - DataFusion Component: Rust labels Mar 22, 2021

Dandandan reviewed Mar 23, 2021

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kou changed the title ~~[rust][datafusion] Fix 12028 and 11940: Add TimestampMillisecond support to GROUP BY/hash aggregates~~ ARROW-12028 ARROW-11940: [Rust][DataFusion] Add TimestampMillisecond support to GROUP BY/hash aggregates Mar 24, 2021

alamb reviewed Mar 24, 2021

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Evan Chan added 2 commits March 25, 2021 18:14

CR feedback

11ab229

Add test for group by timestamp millis

bd5a0f4

alamb approved these changes Mar 29, 2021

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Oops, cargo fmt

b3cd8dd

alamb closed this in af4d5f4 Mar 31, 2021

velvia deleted the evan/pr-arrow-12028-groupby-tsmillis branch April 6, 2021 18:03

alamb mentioned this pull request Apr 9, 2021

ARROW-12277: [Rust][DataFusion] Implement and test Count/Min/Max aggregates for Timestamp(_,_) #9970

Closed

asfimport mentioned this pull request Mar 31, 2021

[Rust][DataFusion] Unsupported GROUP BY for Timestamp(Millisecond, None) #27857

Closed


		use std::{convert::TryFrom, fmt, iter::repeat, sync::Arc};

		use arrow::array::{

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