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Add decimal support to substrait serde #5054

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merged 4 commits into from
Jan 26, 2023

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andygrove
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Which issue does this PR close?

Part of #4897

Original PR: datafusion-contrib/datafusion-substrait#39

Rationale for this change

Applying PRs that were already merged in the original repo

What changes are included in this PR?

Are these changes tested?

Are there any user-facing changes?

@andygrove andygrove changed the title add decimal support to substrait serde Add decimal support to substrait serde Jan 25, 2023
@andygrove andygrove mentioned this pull request Jan 25, 2023
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@andygrove andygrove merged commit 552eea7 into apache:master Jan 26, 2023
@andygrove andygrove deleted the substrait-decimal branch January 26, 2023 15:36
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ursabot commented Jan 26, 2023

Benchmark runs are scheduled for baseline = 14e153e and contender = 552eea7. 552eea7 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ec2-t3-xlarge-us-east-2] ec2-t3-xlarge-us-east-2
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on test-mac-arm] test-mac-arm
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ursa-i9-9960x] ursa-i9-9960x
[Skipped ⚠️ Benchmarking of arrow-datafusion-commits is not supported on ursa-thinkcentre-m75q] ursa-thinkcentre-m75q
Buildkite builds:
Supported benchmarks:
ec2-t3-xlarge-us-east-2: Supported benchmark langs: Python, R. Runs only benchmarks with cloud = True
test-mac-arm: Supported benchmark langs: C++, Python, R
ursa-i9-9960x: Supported benchmark langs: Python, R, JavaScript
ursa-thinkcentre-m75q: Supported benchmark langs: C++, Java

@@ -579,6 +579,13 @@ pub fn to_substrait_rex(
ScalarValue::Boolean(Some(b)) => Some(LiteralType::Boolean(*b)),
ScalarValue::Float32(Some(f)) => Some(LiteralType::Fp32(*f)),
ScalarValue::Float64(Some(f)) => Some(LiteralType::Fp64(*f)),
ScalarValue::Decimal128(v, p, s) if v.is_some() => {
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Is there any rule about using the little-endian or the big-endian for the substrait?
In the Arrow-rs, parquet and datafusion, the big-endian is the default encoding for the decimal.

cc @andygrove

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4 participants