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dumpformat: store parquet LogicalType instead of legacy converted type - #70548
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Included review availability: Your plan provides up to 10 included reviews per hour; 8 remain after this review. 📝 WalkthroughWalkthroughThe Parquet parser now normalizes logical types, validates physical compatibility, and passes logical-type metadata to conversion setters. Numeric, decimal, temporal, INT96, and byte-array conversions use logical types directly. Tests cover nanosecond times and unsigned 32-bit integers. ChangesParquet logical-type conversion
Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🟡 Moderate · up to The import path now accepts nanosecond Parquet temporal values, but those values can still lose sub-microsecond precision when converted to database timestamps, causing data-fidelity loss; merge should wait for a fix or explicit owner acceptance. Sequence Diagram(s)sequenceDiagram
participant ParquetFile
participant ParquetParser
participant TypeConverter
participant MySQLDatum
ParquetFile->>ParquetParser: Provide schema and column values
ParquetParser->>ParquetParser: Normalize and validate logical types
ParquetParser->>TypeConverter: Pass parquetColumnType
TypeConverter->>MySQLDatum: Set numeric, decimal, temporal, or binary value
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✅ Passed checks (4 passed)
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🧪 Generate unit tests (beta)
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Actionable comments posted: 1
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Inline comments:
In `@pkg/dumpformat/parquetfile/type_converter.go`:
- Around line 285-295: Update the timestamp conversion switch around
logicalType.TimeUnit() to declare unit without an initializer, then assign it in
every supported TimeUnitMillis, TimeUnitMicros, and TimeUnitNanos branch while
preserving the unsupported-unit error path.
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pkg/dumpformat/parquetfile/parser.gopkg/dumpformat/parquetfile/parser_test.gopkg/dumpformat/parquetfile/type_converter.go
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Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## master #70548 +/- ##
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- Coverage 76.3255% 73.3291% -2.9964%
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Files 2041 2085 +44
Lines 558163 595081 +36918
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+ Hits 426021 436368 +10347
- Misses 131242 157297 +26055
- Partials 900 1416 +516
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Summary
- Total findings: 12
- Inline comments: 8
- Summary-only findings (no inline anchor): 2
Findings (highest risk first)
⚠️ [Major] (2)
- Unsupported logical types now fail per-value at read time instead of at NewParser (pkg/dumpformat/parquetfile/parser.go:687, pkg/dumpformat/parquetfile/parser.go:59, pkg/dumpformat/parquetfile/type_converter.go:31, pkg/dumpformat/parquetfile/type_converter.go:427, pkg/dumpformat/parquetfile/parser.go:182)
- New logical-type/physical-type applicability gate has zero test coverage (pkg/dumpformat/parquetfile/parser.go:690, pkg/dumpformat/parquetfile/parser.go:687)
🟡 [Minor] (6)
- Parameter names shadow the
parquetColumnTypetype across six setter/iterator constructors (pkg/dumpformat/parquetfile/parser.go:192, pkg/dumpformat/parquetfile/type_converter.go:192, pkg/dumpformat/parquetfile/type_converter.go:239, pkg/dumpformat/parquetfile/type_converter.go:385, pkg/dumpformat/parquetfile/type_converter.go:412, pkg/dumpformat/parquetfile/type_converter.go:427) - Unsupported-type TODO and rationale comments dropped when unsupportedParquetTypes map is replaced (pkg/dumpformat/parquetfile/parser.go:59)
- Sign-preserving uint32 cast for unsigned IntLogicalType has no comment explaining the double conversion (pkg/dumpformat/parquetfile/type_converter.go:225)
- Spark legacy-calendar rebase is silently skipped for TIMESTAMP(NANOS) columns (pkg/dumpformat/parquetfile/type_converter.go:270, pkg/dumpformat/parquetfile/parser.go:704)
- Spark-rebase Nanos exclusion in TimestampLogicalType branch has no rationale comment (pkg/dumpformat/parquetfile/type_converter.go:270)
- TIMESTAMP setter resolves the parquet time unit per value instead of once per column (pkg/dumpformat/parquetfile/type_converter.go:270, pkg/dumpformat/parquetfile/type_converter.go:286, pkg/dumpformat/parquetfile/type_converter.go:255)
ℹ️ [Info] (1)
- INT64 TIME setter also resolves the time unit per value, with an unreachable default branch (pkg/dumpformat/parquetfile/type_converter.go:258, pkg/dumpformat/parquetfile/type_converter.go:264)
🧹 [Nit] (3)
- New comment in getInt32Setter just restates the two lines directly above it (pkg/dumpformat/parquetfile/type_converter.go:196)
- New setTimestampDatum helper has no doc comment despite being called from four different unit-handling branches (pkg/dumpformat/parquetfile/type_converter.go:324)
- String-like logical type list is duplicated verbatim across two setter switches (pkg/dumpformat/parquetfile/type_converter.go:414, pkg/dumpformat/parquetfile/type_converter.go:429)
Unanchored findings
🟡 [Minor] (2)
- Parameter names shadow the
parquetColumnTypetype across six setter/iterator constructors- Request: Use a short instance-style name (for example
colTypeorct) for the*parquetColumnTypeparameter in all six functions instead of reusing the type name.
- Request: Use a short instance-style name (for example
- Unsupported-type TODO and rationale comments dropped when unsupportedParquetTypes map is replaced
- Request: Carry the TODO and the "why these are unsupported" rationale forward onto
isUnsupportedLogicalType(or its case list) so the planned list-support work and the exclusion rationale aren't lost.
- Request: Carry the TODO and the "why these are unsupported" rationale forward onto
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Actionable comments posted: 1
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Inline comments:
In `@pkg/dumpformat/parquetfile/type_converter.go`:
- Around line 255-292: Reject nanosecond TIME and TIMESTAMP values whose value
is not divisible by 1000 before calling setTimestampDatum; preserve existing
conversion for microsecond-aligned values and other units. Apply the guard in
both the TimeLogicalType nanosecond converter and the TimestampLogicalType
nanosecond path, and add regression coverage using non-zero sub-microsecond
remainders.
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pkg/dumpformat/parquetfile/parser.gopkg/dumpformat/parquetfile/parser_test.gopkg/dumpformat/parquetfile/type_converter.go
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Summary
- Total findings: 7
- Inline comments: 6
- Summary-only findings (no inline anchor): 1
Findings (highest risk first)
⚠️ [Major] (1)
- UUID columns are now rejected at parser creation, breaking parquet files that imported before (pkg/dumpformat/parquetfile/parser.go:62, pkg/dumpformat/parquetfile/parser.go:692, pkg/dumpformat/parquetfile/type_converter.go:439)
🟡 [Minor] (6)
- New ConvertedType→LogicalType compatibility bridge has no rejection-path test coverage (pkg/dumpformat/parquetfile/parser.go:59, pkg/dumpformat/parquetfile/parser_test.go:353)
- UnknownLogicalType arm in four setter switches is now unreachable dead code (pkg/dumpformat/parquetfile/parser.go:59, pkg/dumpformat/parquetfile/type_converter.go:228, pkg/dumpformat/parquetfile/type_converter.go:249, pkg/dumpformat/parquetfile/type_converter.go:424, pkg/dumpformat/parquetfile/type_converter.go:439)
- Business rationale for rejecting Map/Interval/NA logical types was dropped during refactor (pkg/dumpformat/parquetfile/parser.go:63)
- Setter-config parameter name shadows its own type across six functions (pkg/dumpformat/parquetfile/parser.go:197, pkg/dumpformat/parquetfile/type_converter.go:192, pkg/dumpformat/parquetfile/type_converter.go:238, pkg/dumpformat/parquetfile/type_converter.go:395, pkg/dumpformat/parquetfile/type_converter.go:422, pkg/dumpformat/parquetfile/type_converter.go:437)
- New logical-type rejection errors don't name the offending column (pkg/dumpformat/parquetfile/parser.go:693, pkg/dumpformat/parquetfile/parser.go:59)
- New Spark-legacy-rebase-vs-TIMESTAMP(NANOS) rejection guard is untested (pkg/dumpformat/parquetfile/parser.go:719, pkg/dumpformat/parquetfile/type_converter.go:336)
Unanchored findings
🟡 [Minor] (1)
- UnknownLogicalType arm in four setter switches is now unreachable dead code
- Request: Drop
schema.UnknownLogicalTypefrom the four setter switches (keep onlyschema.NoLogicalType), since the upstream validation already owns that decision. If it's meant to be a defensive fallback, add a one-line comment saying so to avoid a future edit assuming it's reachable.
- Request: Drop
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please add real import cases to cover the new supported tiem type
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Correctness and compatibility review: four inline findings.
| d.SetMysqlTime(mysqlTime) | ||
| return nil | ||
| t := toTime(val) | ||
| return setTimestampDatum(t, d, loc, logicalType.IsAdjustedToUTC()) |
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[P1] Preserve the TIME(NANOS) day carry
A valid value such as 23:59:59.999999500 reaches this path. TiDB's established nearest-microsecond conversion rounds it into the next calendar day, but the later IMPORT cast from this timestamp datum to TIME(6) discards the date and persists 00:00:00.000000. This is different from the intentional sub-microsecond precision reduction: the value wraps by 24 hours. Please decode and round TIME as a duration so the result remains 24:00:00.000000, or reject the rollover case, and cover values immediately below and at the half-microsecond boundary.
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Addressed in 5adf566 .
Previously, all the TIME type are stored as KindMysqlTime. Semantically speaking, it is better to store it as KindMysqlDuration, and can also prevent this problem.
TIME with unit MILLIS is used for millisecond precision. It must annotate an int32 that stores the number of milliseconds after midnight.
TIME with unit MICROS is used for microsecond precision. It must annotate an int64 that stores the number of microseconds after midnight.
TIME with unit NANOS is used for nanosecond precision. It must annotate an int64 that stores the number of nanoseconds after midnight.
| if _, ok := unsupportedParquetTypes[colTypes[i].converted]; ok { | ||
| return nil, errors.Errorf("unsupported parquet logical type %s", colTypes[i].converted.String()) | ||
| colTypes[i].logicalType = logicalType | ||
| if err := validateParquetLogicalType(logicalType, desc.PhysicalType(), desc.TypeLength()); err != nil { |
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[P1] Validate nested types at the group level
fileSchema.Column(i) enumerates primitive leaves, while standards-compliant LIST/MAP annotations live on their outer group nodes, so this validation never sees those annotations. The row iterator reads but ignores repetition levels; for two rows [10, 11] and [20], it can return 10 and 11 as the two rows and drop 20. Please traverse the root/group schema or reject fileSchema.HasRepeatedFields() before creating iterators, and add an end-to-end nested-schema test through NewParser rather than only testing this helper directly.
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Handled in 5adf566 .
NewParser now rejects schemas with repeated fields before primitive iterators are created, so LIST, MAP, and unannotated repeated encodings cannot be misread by the row-oriented parser. The regression writes a standard LIST group schema and verifies rejection through NewParser.
| if timestamp, ok := logicalType.(schema.TimestampLogicalType); ok && | ||
| timestamp.TimeUnit() == schema.TimeUnitNanos && | ||
| colTypes[i].sparkRebaseMicros.timeZoneID != "" { | ||
| return nil, errors.New("Spark legacy rebase is unsupported for TIMESTAMP(NANOS)") |
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[P2] Marker-bearing TIMESTAMP(NANOS) should bypass rebase rather than fail
Spark emits org.apache.spark.legacyDateTime at file scope in LEGACY write mode, but its TIMESTAMP(NANOS) implementation explicitly treats nanos as proleptic-Gregorian and exempt from rebasing. This guard therefore rejects valid modern and all-null nanos columns merely because another column caused the file-level marker. Please limit the datetime lookup to millis/micros and read nanos unchanged regardless of the marker; replace the rejection test with marker-bearing adjusted/unadjusted nanos cases. Spark references: https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetWriteSupport.scala#L117-L136 and https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/types/ops/TimestampNanosParquetOps.scala#L55-L58
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Updated in 5adf566 .
Spark datetime rebase metadata is now consulted only for TIMESTAMP(MILLIS/MICROS). TIMESTAMP(NANOS) bypasses the file-level marker and is read unchanged; the defensive nanos branch in rebaseTimestampValue is also a no-op. The test covers marker-bearing adjusted and unadjusted nanos columns.
| } | ||
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| func createColumnIterator(tp parquet.Type, converted *convertedType, loc *time.Location, batchSize int) iterator { | ||
| func createColumnIterator(tp parquet.Type, colType *parquetColumnType, loc *time.Location, batchSize int) iterator { |
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[P2] Enforce UNKNOWN consistently for every physical type
The new INT32 test expects a non-null NullLogicalType/UNKNOWN payload to fail, but the BOOLEAN, FLOAT, DOUBLE, and INT96 branches below do not inspect colType; they accept non-null payloads and convert them normally. Parquet defines UNKNOWN as always null. Please enforce the invariant generically before invoking the physical setter, or make these setters logical-type-aware, and table-drive the regression across these physical encodings.
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Covered in 5adf566 .
NULL/UNKNOWN handling is selected once when each column iterator is created, rather than checked in every Next() call. Null definition levels still produce NULL normally, while a non-null payload uses the error setter consistently across BOOLEAN, INT32, INT64, FLOAT, DOUBLE, and INT96.
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Done in b1b7674 . @D3Hunter I added a real Validation: the same test fails on the merge base with |
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/hold
rest lgtm, please unhold after fix existing comments
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: D3Hunter, wjhuang2016 The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
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What problem does this PR solve?
Issue Number: close #70368, close #70359
Problem Summary:
TIME(NANOS)andTIMESTAMP(NANOS)are valid Parquet LogicalTypes, but they have no legacy ConvertedType counterpart. TiDB's import path previously reduced LogicalType metadata to ConvertedType and could interpret nanosecond values as ordinary integers. UINT_32 values above 2^31 were also sign-extended when decoded from physical INT32 values.What changed and how does it work?
LogicalTypeas the canonical type during import schema normalization.ConvertedTypemetadata toLogicalTypeonly when LogicalType is absent.DecimalLogicalType.TIME(NANOS)andTIMESTAMP(NANOS).Check List
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