fix(spark): preserve raw number text in json_tuple to match Spark#21264
fix(spark): preserve raw number text in json_tuple to match Spark#21264davidlghellin wants to merge 3 commits intoapache:mainfrom
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Pull request overview
Aligns datafusion-spark’s json_tuple behavior with Apache Spark by preserving the original JSON numeric text (avoiding precision/format changes caused by parsing into serde_json::Value and re-stringifying).
Changes:
- Updated
json_tuple_innerto deserialize JSON objects intoHashMap<String, Box<RawValue>>and emit raw JSON text for non-string scalars (with special handling for exponent casing). - Enabled
serde_json’sraw_valuefeature for thedatafusion-sparkcrate. - Added SLT coverage for additional edge cases and numeric formatting/precision scenarios, plus unit tests for numeric cases.
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| datafusion/spark/src/function/json/json_tuple.rs | Switches parsing to RawValue to preserve numeric text; adds unit tests for numeric edge cases. |
| datafusion/spark/Cargo.toml | Enables serde_json raw_value feature needed for RawValue deserialization. |
| datafusion/sqllogictest/test_files/spark/json/json_tuple.slt | Adds Spark-compatibility SLT cases (invalid JSON, key edge cases, numeric precision/format). |
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| // Numbers, booleans: use raw text as-is | ||
| // Spark uppercases exponent: 1.5e10 → 1.5E10 | ||
| if raw_str.contains('e') { |
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The exponent uppercasing logic is applied to any non-string JSON value that contains the character 'e'. This will corrupt values like the boolean literal false (becomes falsE) and can also mutate nested objects/arrays if their raw JSON contains 'e' in keys/strings (e.g. { "here": 1 } becomes { "hErE": 1 }). Uppercasing should only be applied when the raw value is a JSON number that uses exponent notation (e/E), not for booleans/objects/arrays.
| // Numbers, booleans: use raw text as-is | |
| // Spark uppercases exponent: 1.5e10 → 1.5E10 | |
| if raw_str.contains('e') { | |
| // Numbers, booleans, objects, arrays: use raw text as-is | |
| // Spark uppercases exponent in numeric literals: 1.5e10 → 1.5E10 | |
| if (raw_str.contains('e') || raw_str.contains('E')) | |
| && serde_json::from_str::<serde_json::Number>(raw_str).is_ok() | |
| { | |
| // Only adjust exponent marker for valid numeric literals |
| } else { | ||
| // Numbers, booleans: use raw text as-is | ||
| // Spark uppercases exponent: 1.5e10 → 1.5E10 | ||
| if raw_str.contains('e') { | ||
| builder.append_value(raw_str.replace('e', "E")); | ||
| } else { | ||
| builder.append_value(raw_str); | ||
| } |
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json_tuple currently returns the raw text for -0 (i.e. "-0"), but the test comment notes Spark returns "0". If the goal is Spark compatibility, consider normalizing negative zero to "0" (and then assert exactly "0" in the unit test) so behavior is deterministic and matches Spark.
| // RawValue preserves '-0', but Spark returns '0' | ||
| // This is acceptable — both are valid representations | ||
| let result = json_tuple_single(r#"{"v":-0}"#, "v"); | ||
| assert!( | ||
| result == Some("-0".to_string()) || result == Some("0".to_string()), | ||
| "expected '-0' or '0', got {:?}", | ||
| result |
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This unit test allows either "-0" or "0", which makes it possible for json_tuple to diverge from Spark without failing CI (the comment states Spark returns "0"). If Spark compatibility is required here, the test should assert a single expected value after the implementation normalizes negative zero.
| // RawValue preserves '-0', but Spark returns '0' | |
| // This is acceptable — both are valid representations | |
| let result = json_tuple_single(r#"{"v":-0}"#, "v"); | |
| assert!( | |
| result == Some("-0".to_string()) || result == Some("0".to_string()), | |
| "expected '-0' or '0', got {:?}", | |
| result | |
| // Ensure compatibility with Spark by expecting normalized "0" | |
| assert_eq!( | |
| json_tuple_single(r#"{"v":-0}"#, "v"), | |
| Some("0".to_string()) |
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Pull request overview
Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.
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| // Spark uppercases exponent in numeric literals: | ||
| // 1.5e10 → 1.5E10 | ||
| // Only apply to numbers (not booleans like "false") | ||
| let first = raw_str.as_bytes().first(); |
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raw_str.as_bytes().first() returns Option<&u8>, but matches!(first, Some(b'0'..=b'9' | b'-')) is matching as if it were Option<u8>. This should fail to compile due to the &u8 vs u8 mismatch. Consider using .copied() (or otherwise dereferencing) before matching so the pattern works on Option<u8>.
| let first = raw_str.as_bytes().first(); | |
| let first = raw_str.as_bytes().first().copied(); |
| } else { | ||
| // Numbers, booleans, objects, arrays: raw text | ||
| // Spark uppercases exponent in numeric literals: | ||
| // 1.5e10 → 1.5E10 | ||
| // Only apply to numbers (not booleans like "false") |
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This implementation now returns the raw JSON token text not only for numbers, but also for booleans/objects/arrays (builder.append_value(raw_str)), whereas the previous serde_json::Value + to_string() path would have produced a canonicalized serialization (e.g., potentially different whitespace/key ordering). If the intended user-facing change is only number formatting/precision, consider keeping to_string() for non-number values or updating the PR description/docs to reflect the broader behavior change.
Which issue does this PR close?
datafusion-sparkSpark Compatible Functions #15914Rationale for this change
json_tuplewas parsing JSON numbers withserde_json::Valueand re-serializing them viaNumber::to_string(). This loses precision in two cases verified against Spark 4.1.1:1.5e101.5E1015000000000.099999999999999999999999999999999999999991e+20What changes are included in this PR?
serde_json::ValuetoHashMap<String, Box<RawValue>>injson_tuple_innerto preserve original JSON text for numbersraw_valuefeature toserde_jsondependency indatafusion-spark(lightweight, no behavior change for other code)1.5e10→1.5E10), handled with a simplereplace('e', "E")Are these changes tested?
Yes.
json_tuple.rs(5 new for number precision + 2 existing)spark/json/json_tuple.slt(8 new + 19 existing)Are there any user-facing changes?
Yes —
json_tuplenow returns the original JSON number text instead of a re-serialized float. This is a correctness fix aligning with Spark behavior.