Official Rust implementation of Apache Arrow
This report presents the forensic synthetic code analysis of apache/arrow-rs, a Rust project with 3,525 GitHub stars. SynthScan v2.0 examined 475,755 lines of code across 796 source files, recording 2994 pattern matches distributed across 14 syntactic categories. The overall adjusted score of 8.0 places this repository in the Low AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 2994 distinct pattern matches across 14 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | .asf.yaml | 1 | # Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | Cargo.toml | 1 | # Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | rustfmt.toml | 1 | # Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | .pre-commit-config.yaml | 1 | # Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | pre-commit.sh | 1 | #!/bin/bash | COMMENT |
| LOW | rust-toolchain.toml | 1 | # Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/Cargo.toml | 1 | # Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/benches/variant_kernels.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/benches/variant_kernels.rs | 221 | COMMENT | |
| LOW | parquet-variant-compute/src/shred_variant.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/shred_variant.rs | 41 | /// { | COMMENT |
| LOW | parquet-variant-compute/src/shred_variant.rs | 521 | COMMENT | |
| LOW | parquet-variant-compute/src/shred_variant.rs | 541 | /// use arrow::datatypes::{DataType, Field, TimeUnit}; | COMMENT |
| LOW | parquet-variant-compute/src/shred_variant.rs | 561 | /// )? | COMMENT |
| LOW | parquet-variant-compute/src/variant_to_arrow.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/lib.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/lib.rs | 21 | //! - [`VariantArray`] : Represents an array of `Variant` values. | COMMENT |
| LOW | parquet-variant-compute/src/variant_get.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/variant_get.rs | 101 | /// a missing-path step (`Missing` or `NotShredded` depending on whether `value` exists). | COMMENT |
| LOW | parquet-variant-compute/src/variant_get.rs | 321 | // If our caller did not request any specific type, we can just return whatever we landed on. | COMMENT |
| LOW | parquet-variant-compute/src/variant_get.rs | 1221 | COMMENT | |
| LOW | parquet-variant-compute/src/variant_get.rs | 1841 | COMMENT | |
| LOW | parquet-variant-compute/src/unshred_variant.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/unshred_variant.rs | 41 | use std::marker::PhantomData; | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 121 | COMMENT | |
| LOW | parquet-variant-compute/src/variant_array.rs | 141 | /// [Parquet Variant]: https://arrow.apache.org/docs/format/CanonicalExtensions.html#parquet-variant | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 161 | /// # fn get_schema() -> Schema { | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 181 | /// # use arrow_schema::{Schema, Field, DataType}; | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 201 | /// # use arrow_schema::{Schema, Field, DataType}; | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 221 | /// # Example: Converting a [`VariantArray`] to a [`StructArray`] | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 241 | /// # fn get_struct_array() -> StructArray { | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 261 | shredding_state: ShreddingState, | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 281 | /// 2. An optional field named `value` that is binary, large_binary, or | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 361 | /// Use `try_value` if you need to handle conversion errors gracefully. | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 381 | /// | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 521 | impl<'m, 'v> FromIterator<Variant<'m, 'v>> for VariantArray { | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 541 | /// builder.append_null(); | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 601 | COMMENT | |
| LOW | parquet-variant-compute/src/variant_array.rs | 621 | /// value: BINARY, | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 641 | /// | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 661 | /// # Errors: | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 781 | /// Shredding Spec]. Shredding means that the actual value is stored in a typed | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 801 | /// | exists | -- | **Unshredded**: If present, the value may be any type, including [`Variant::Null`] | COMMENT |
| LOW | parquet-variant-compute/src/variant_array.rs | 821 | /// `ShreddingState::try_from(&struct_array)`, for example: | COMMENT |
| LOW | parquet-variant-compute/src/to_json.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/arrow_to_variant.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/arrow_to_variant.rs | 281 | run_ends.data_type() | COMMENT |
| LOW | parquet-variant-compute/src/arrow_to_variant.rs | 301 | // us to "use" captured tokens without emitting them: | COMMENT |
| LOW | parquet-variant-compute/src/cast_to_variant.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/cast_to_variant.rs | 21 | use arrow::compute::CastOptions; | COMMENT |
| LOW | parquet-variant-compute/src/cast_to_variant.rs | 41 | /// let result = cast_to_variant(&input).unwrap(); | COMMENT |
| LOW | parquet-variant-compute/src/from_json.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 1 | // Licensed to the Apache Software Foundation (ASF) under one | COMMENT |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 41 | /// and nested objects or lists the same way as when building a single | COMMENT |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 61 | /// // append a null row (note not a Variant::Null) | COMMENT |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 81 | /// // row 2 is not null and is an object | COMMENT |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 261 | /// | COMMENT |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 321 | COMMENT | |
| LOW | parquet-variant-compute/src/variant_array_builder.rs | 341 | self.builder_ext(&value.metadata().clone()) | COMMENT |
| 2574 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | arrow-data/src/data.rs | 189 | /// │ ] │ └───────┘ | COMMENT |
| MEDIUM⚡ | arrow-data/src/data.rs | 193 | /// └───────────────────┘ actual data values | COMMENT |
| MEDIUM⚡ | arrow-data/src/data.rs | 197 | /// ┌───────────────────┐ | COMMENT |
| MEDIUM⚡ | arrow-data/src/data.rs | 202 | /// └───────────────────┘ | COMMENT |
| MEDIUM | arrow-data/src/data.rs | 178 | /// ┌───────────────────┐ start of ┌───────┐ Different | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 33 | /// ┌─────────────────┐ ┌─────────────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 35 | /// ├─────────────────┤ ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 37 | /// ├─────────────────┤ union_extract(values, 'A') ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 38 | /// │ B='t' │ ────────────────────────────▶ │ NULL │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 39 | /// ├─────────────────┤ ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 41 | /// ├─────────────────┤ ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/union_extract.rs | 43 | /// └─────────────────┘ └─────────────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 120 | /// ┌────────────────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 123 | /// └────────────────────┘ ┌────────────────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 125 | /// ┌────────────────────┐ Coalesce │ │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 131 | /// └────────────────────┘ │ │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 133 | /// ┌────────────────────┐ │ │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 136 | /// │ num_rows = 100 │ └────────────────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/coalesce.rs | 138 | /// └────────────────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 93 | /// ┌───────────┐ ┌─────────┐ ┌─────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 94 | /// │┌─────────┐│ │ None │ │ NULL │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 95 | /// ││ A ││ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 96 | /// │└─────────┘│ │ 1 │ │ B │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 97 | /// │┌─────────┐│ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 99 | /// │└─────────┘│ ├─────────┤ ─────────────────────────▶ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 100 | /// │┌─────────┐│ │ None │ │ NULL │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 101 | /// ││ C ││ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 102 | /// │├─────────┤│ │ 2 │ │ C │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 103 | /// ││ D ││ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 104 | /// │└─────────┘│ │ 2 │ │ D │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 105 | /// └───────────┘ └─────────┘ └─────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 198 | /// ┌─────────┐ mask | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 199 | /// │ A │ ┌─────────┐ ┌─────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 200 | /// ├─────────┤ │ true │ │ A │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 201 | /// │ C │ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 202 | /// ├─────────┤ │ true │ │ C │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 203 | /// │ NULL │ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 204 | /// ├─────────┤ │ false │ merge(mask, truthy, falsy) │ B │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 205 | /// │ D │ ├─────────┤ ─────────────────────────▶ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 206 | /// └─────────┘ │ true │ │ NULL │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 207 | /// falsy ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 208 | /// ┌─────────┐ │ false │ │ E │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 209 | /// │ B │ ├─────────┤ ├─────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 210 | /// ├─────────┤ │ true │ │ D │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 211 | /// │ E │ └─────────┘ └─────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/merge.rs | 212 | /// └─────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 54 | /// ┌─────────────────┐ ┌─────────┐ ┌─────────────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 56 | /// ├─────────────────┤ ├─────────┤ [values0, values1], ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 58 | /// └─────────────────┘ ├─────────┤ ) ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 59 | /// values array 0 │ (1, 1) │ ─────────────────────────▶ │ C │ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 60 | /// ├─────────┤ ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 62 | /// └─────────┘ └─────────────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 63 | /// ┌─────────────────┐ indices | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 65 | /// ├─────────────────┤ result | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 67 | /// ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/interleave.rs | 69 | /// └─────────────────┘ | COMMENT |
| MEDIUM⚡ | arrow-select/src/take.rs | 40 | /// ┌─────────────────┐ ┌─────────┐ ┌─────────────────┐ | COMMENT |
| MEDIUM⚡ | arrow-select/src/take.rs | 42 | /// ├─────────────────┤ ├─────────┤ ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/take.rs | 44 | /// ├─────────────────┤ ├─────────┤ take(values, indices) ├─────────────────┤ | COMMENT |
| MEDIUM⚡ | arrow-select/src/take.rs | 45 | /// │ B │ │ 3 │ ─────────────────────────▶ │ C │ | COMMENT |
| 191 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | parquet-variant-compute/src/variant_get.rs | 2143 | // Step 2: If field not in shredding schema, check value field | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 508 | // Step 1: Try unvalidated construction - should not panic | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 516 | // Step 2: Try validation | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 606 | // Step 1: Try unvalidated construction - should not panic | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 614 | // Step 2: Try validation | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 358 | // Step 1: push_batch([350]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 362 | // Step 2: push_batch([200]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 366 | // Step 3: push_batch([800]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 396 | // Step 1: push_batch([300]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 400 | // Step 2: push_batch([1200]) | COMMENT |
| LOW | arrow-select/src/coalesce.rs | 382 | // Step 4: push_batch([900]) | COMMENT |
| LOW | arrow-select/src/interleave.rs | 478 | // Step 1: compute output offsets and total child capacity | COMMENT |
| LOW | arrow-select/src/interleave.rs | 491 | // Step 2: build child values. | COMMENT |
| LOW | arrow-avro/src/reader/async_reader/builder.rs | 275 | // so we need to check if range.end == header_len to see if there's no data after the header | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2417 | // Step 1: Peek and ensure dictionary page is correctly identified | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2421 | // Step 2: Call skip_next_page to skip the dictionary page | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2424 | // Step 3: Read the next data page after skipping the dictionary page | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2428 | // Step 4: Continue reading remaining data pages and verify correctness | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2439 | // Step 5: Check if all pages are read | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2443 | // Step 6: Verify the number of data pages read (should be 351 data pages) | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | parquet-variant-compute/src/variant_get.rs | 2143 | // Step 2: If field not in shredding schema, check value field | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 508 | // Step 1: Try unvalidated construction - should not panic | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 516 | // Step 2: Try validation | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 606 | // Step 1: Try unvalidated construction - should not panic | COMMENT |
| LOW⚡ | parquet-variant/tests/variant_interop.rs | 614 | // Step 2: Try validation | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 358 | // Step 1: push_batch([350]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 362 | // Step 2: push_batch([200]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 366 | // Step 3: push_batch([800]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 396 | // Step 1: push_batch([300]) | COMMENT |
| LOW⚡ | arrow-select/src/coalesce.rs | 400 | // Step 2: push_batch([1200]) | COMMENT |
| LOW | arrow-select/src/coalesce.rs | 382 | // Step 4: push_batch([900]) | COMMENT |
| LOW | arrow-select/src/interleave.rs | 478 | // Step 1: compute output offsets and total child capacity | COMMENT |
| LOW | arrow-select/src/interleave.rs | 491 | // Step 2: build child values. | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2417 | // Step 1: Peek and ensure dictionary page is correctly identified | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2421 | // Step 2: Call skip_next_page to skip the dictionary page | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2424 | // Step 3: Read the next data page after skipping the dictionary page | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2428 | // Step 4: Continue reading remaining data pages and verify correctness | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2439 | // Step 5: Check if all pages are read | COMMENT |
| LOW⚡ | parquet/src/file/serialized_reader.rs | 2443 | // Step 6: Verify the number of data pages read (should be 351 data pages) | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | arrow-arith/src/boolean.rs | 20 | //! These kernels can leverage SIMD if available on your system. Currently no runtime | COMMENT |
| MEDIUM | arrow-arith/src/arithmetic.rs | 20 | //! These kernels can leverage SIMD if available on your system. Currently no runtime | COMMENT |
| MEDIUM | arrow-ord/src/cmp.rs | 20 | //! These kernels can leverage SIMD if available on your system. Currently no runtime | COMMENT |
| MEDIUM | arrow-ord/src/comparison.rs | 20 | //! These kernels can leverage SIMD if available on your system. Currently no runtime | COMMENT |
| MEDIUM | arrow-ipc/src/writer.rs | 2137 | // but pruning unneeded data buffers is much more nuanced since it's complicated to prove that no views referenc | COMMENT |
| MEDIUM | arrow-avro/src/schema.rs | 869 | /// Note: Confluent wire format implementations should leverage this method. | COMMENT |
| MEDIUM | arrow-avro/src/schema.rs | 910 | /// method will return an error. Confluent wire format implementations should leverage the | COMMENT |
| MEDIUM | parquet/tests/arrow_writer.rs | 355 | // (well under the ~16 MiB row group) to stay robust across platforms. | COMMENT |
| MEDIUM | parquet/src/data_type.rs | 329 | /// big hit on the CPU pipeline. Essentially the previous version stalls awaiting the result of | COMMENT |
| MEDIUM | parquet/src/lib.rs | 59 | //! to leverage the wide range of data transforms provided by the [arrow] crate, and by the | COMMENT |
| MEDIUM | parquet/src/file/page_index/index_reader.rs | 48 | // Try to read fast-path first. If that fails, fall back to slower but more robust | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | CONTRIBUTING.md | 275 | [guidance](https://www.apache.org/legal/generative-tooling.html) on AI-generated code for further | CODE |
| HIGH | parquet/src/file/writer.rs | 2082 | // Column "a" has both offset and column index, as requested | COMMENT |
| HIGH | parquet/src/file/metadata/push_decoder.rs | 47 | /// as requested as shown below. This minimizes the number of bytes read, but | COMMENT |
| HIGH | parquet/src/arrow/arrow_writer/mod.rs | 4929 | // Column "a" has both offset and column index, as requested | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | arrow/benches/csv_writer.rs | 40 | "Lorem ipsum dolor sit amet", | CODE |
| LOW | arrow/benches/csv_writer.rs | 40 | "Lorem ipsum dolor sit amet", | CODE |
| LOW | arrow/src/util/string_writer.rs | 42 | //! "Lorem ipsum dolor sit amet", | COMMENT |
| LOW | arrow/src/util/string_writer.rs | 42 | //! "Lorem ipsum dolor sit amet", | COMMENT |
| LOW | parquet-variant/src/builder.rs | 1677 | address.insert("street", "123 Main St"); | CODE |
| LOW | arrow-csv/src/writer.rs | 38 | //! "Lorem ipsum dolor sit amet", | COMMENT |
| LOW | arrow-csv/src/writer.rs | 38 | //! "Lorem ipsum dolor sit amet", | COMMENT |
| LOW⚡ | arrow-csv/src/writer.rs | 739 | Lorem ipsum dolor sit amet,123.564532,3,true,,00:20:34,cupcakes | CODE |
| LOW⚡ | arrow-csv/src/writer.rs | 739 | Lorem ipsum dolor sit amet,123.564532,3,true,,00:20:34,cupcakes | CODE |
| LOW⚡ | arrow-csv/src/writer.rs | 742 | Lorem ipsum dolor sit amet,123.564532,3,true,,00:20:34,cupcakes | CODE |
| LOW⚡ | arrow-csv/src/writer.rs | 742 | Lorem ipsum dolor sit amet,123.564532,3,true,,00:20:34,cupcakes | CODE |
| LOW | arrow-csv/src/writer.rs | 696 | "Lorem ipsum dolor sit amet", | CODE |
| LOW | arrow-csv/src/writer.rs | 696 | "Lorem ipsum dolor sit amet", | CODE |
| LOW | arrow-csv/src/writer.rs | 823 | "Lorem ipsum \ndolor sit amet", | CODE |
| LOW | arrow-csv/src/writer.rs | 823 | "Lorem ipsum \ndolor sit amet", | CODE |
| LOW | arrow-csv/src/writer.rs | 866 | "'Lorem ipsum \ndolor sit amet'|123.564532|3|true|12:20:34 AM\nconsectetur \"adipiscing\" elit|NULL|2|false| | CODE |
| LOW | arrow-csv/src/writer.rs | 866 | "'Lorem ipsum \ndolor sit amet'|123.564532|3|true|12:20:34 AM\nconsectetur \"adipiscing\" elit|NULL|2|false| | CODE |
| LOW | arrow-csv/src/writer.rs | 889 | "c1,c2,c3,c4,c6\n\"Lorem ipsum \ndolor sit amet\",123.564532,3,true,00:20:34\n\"consectetur $\"adipiscing$\" | CODE |
| LOW | arrow-csv/src/writer.rs | 889 | "c1,c2,c3,c4,c6\n\"Lorem ipsum \ndolor sit amet\",123.564532,3,true,00:20:34\n\"consectetur $\"adipiscing$\" | CODE |
| LOW | arrow-avro/src/reader/mod.rs | 7018 | "default": "lorem ipsum" | CODE |
| LOW | arrow-avro/src/reader/mod.rs | 7116 | Some(&"\"lorem ipsum\"".to_string()), | CODE |
| LOW | arrow-avro/src/reader/mod.rs | 7117 | "f3_0 should have \"lorem ipsum\" default value in metadata" | CODE |
| LOW | arrow-avro/src/reader/mod.rs | 7171 | assert_eq!(f3_0_array.value(i), "lorem ipsum"); | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 188 | def test_type_roundtrip_pycapsule(pyarrow_type): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 208 | def test_field_roundtrip_pycapsule(pyarrow_type): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 220 | def test_field_metadata_roundtrip(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 247 | def test_primitive_python_pycapsule(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 343 | def test_fixed_len_binary_array(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 398 | def test_fixed_len_list_array(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 522 | def test_empty_recordbatch_with_row_count(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 570 | def test_record_batch_reader_pycapsule(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 598 | def test_record_batch_reader_error(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 620 | def test_record_batch_pycapsule(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 709 | def test_table_error_inconsistent_schema(): | CODE |
| LOW | arrow-pyarrow-integration-testing/tests/test_sql.py | 723 | def test_reject_other_classes(): | CODE |
| LOW | dev/release/label_issues.py | 37 | def get_cross_referenced_issues(issue): | CODE |
| LOW | dev/release/label_issues.py | 106 | def find_issues_from_changelog(): | CODE |
| LOW | parquet/pytest/test_parquet_integration.py | 44 | def create_data_and_pandas_df(n): | CODE |
| LOW | parquet/pytest/test_parquet_integration.py | 75 | def get_show_filter_cli_output(output_dir, col_name, test_values): | CODE |
| LOW | parquet/pytest/test_parquet_integration.py | 98 | def test_pyspark_bloom_filter(self, n): | CODE |
| LOW | parquet/pytest/test_parquet_integration.py | 104 | def test_bloom_filter_round_trip(self, n): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | pre-commit.sh | 20 | # This file is git pre-commit hook. | COMMENT |
| MEDIUM | arrow-array/src/array/union_array.rs | 46 | /// ## Create a dense UnionArray `[1, 3.2, 34]` | COMMENT |
| MEDIUM | arrow-array/src/array/union_array.rs | 85 | /// ## Create a sparse UnionArray `[1, 3.2, 34]` | COMMENT |
| MEDIUM | arrow-pyarrow-integration-testing/tests/test_sql.py | 529 | # Create an empty schema with no fields | COMMENT |
| MEDIUM | arrow-flight/examples/data/gen_certs.sh | 17 | # Create a self-signed root CA | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …chema/src/extension/canonical/timestamp_with_offset.rs | 48 | /// It's worth noting that the data source needs to resolve timezone strings such as `UTC` or | COMMENT |
| MEDIUM | arrow-row/src/lib.rs | 1172 | /// // into convert_rows, this is done for demonstration purposes only | COMMENT |
| MEDIUM | parquet/src/arrow/arrow_writer/mod.rs | 1051 | /// // Note: This is for demonstration purposes, a thread-pool e.g. rayon or tokio, would be better. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | parquet-variant/tests/variant_interop.rs | 350 | // TODO: Add tests for object_nested and array_nested | COMMENT |
| LOW | arrow-array/src/record_batch.rs | 738 | // TODO: implement `TryFrom` trait, once | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | arrow-array/src/array/list_array.rs | 1164 | // test scaffold | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | dev/release/label_issues.py | 51 | CODE | |
| LOW | dev/release/label_issues.py | 106 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | dev/release/update_change_log.sh | 27 | # Usage: | COMMENT |