Repository Analysis

apache/iceberg

Apache Iceberg

2.7 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of apache/iceberg, a Java project with 9,046 GitHub stars. SynthScan v2.0 examined 1,266,911 lines of code across 5654 source files, recording 466 pattern matches distributed across 12 syntactic categories. The overall adjusted score of 2.7 places this repository in the Likely human-written 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).

2.7
Adjusted Score
2.7
Raw Score
100%
Time Factor
2026-07-14
Last Push
9.0K
Stars
Java
Language
1.3M
Lines of Code
5.7K
Files
466
Pattern Hits
2026-07-14
Scan Date
0.05
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

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.

Severity Breakdown

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.

CRITICAL 286HIGH 5MEDIUM 4LOW 171

Directory Score Breakdown

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.

Pattern Findings

The scanner identified 466 distinct pattern matches across 12 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.

Hallucination Indicators286 hits · 3208 pts
SeverityFileLineSnippetContext
CRITICAL…main/java/org/apache/iceberg/nessie/NessieCatalog.java189 // in o.a.i.spark.Spark3Util.catalogAndIdentifier(o.a.s.sql.SparkSession, List<String>,COMMENT
CRITICAL…/java/org/apache/iceberg/rest/RemoteSignerServlet.java188 org.apache.iceberg.rest.responses.ErrorResponse.builder()CODE
CRITICAL…c/test/java/org/apache/iceberg/hive/TestHiveTable.java527 new org.apache.hadoop.hive.metastore.api.Table(CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java118 org.apache.iceberg.expressions.Expressions.equal(pair.first(), pair.second());CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java136 UnboundPredicate<Float> expected = org.apache.iceberg.expressions.Expressions.isNaN("field3");CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java153 org.apache.iceberg.expressions.Expressions.notEqual(pair.first(), pair.second());CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java171 UnboundPredicate<Float> expected = org.apache.iceberg.expressions.Expressions.notNaN("field3");CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java189 org.apache.iceberg.expressions.Expressions.greaterThan("field1", 1);CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java205 org.apache.iceberg.expressions.Expressions.greaterThanOrEqual("field1", 1);CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java221 org.apache.iceberg.expressions.Expressions.lessThan("field1", 1);CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java237 org.apache.iceberg.expressions.Expressions.lessThanOrEqual("field1", 1);CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java255 UnboundPredicate<Object> expected = org.apache.iceberg.expressions.Expressions.isNull("field1");CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java265 org.apache.iceberg.expressions.Expressions.notNull("field1");CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java281 org.apache.iceberg.expressions.Expressions.and(CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java282 org.apache.iceberg.expressions.Expressions.equal("field1", 1),CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java283 org.apache.iceberg.expressions.Expressions.equal("field2", 2L));CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java301 org.apache.iceberg.expressions.Expressions.or(CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java302 org.apache.iceberg.expressions.Expressions.equal("field1", 1),CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java303 org.apache.iceberg.expressions.Expressions.equal("field2", 2L));CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java321 org.apache.iceberg.expressions.Expressions.not(CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java322 org.apache.iceberg.expressions.Expressions.equal("field1", 1));CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java331 org.apache.iceberg.expressions.Expressions.startsWith("field5", "abc");CODE
CRITICAL…pache/iceberg/flink/TestManifestFileSerialization.java72 .withPartition(org.apache.iceberg.TestHelpers.Row.of(1D))CODE
CRITICAL…pache/iceberg/flink/TestManifestFileSerialization.java90 .withPartition(org.apache.iceberg.TestHelpers.Row.of(Double.NaN))CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java123 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java196 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java213 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java229 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java292 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java361 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…va/org/apache/iceberg/flink/TestFlinkCatalogTable.java755 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java617 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java620 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java641 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java644 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java903 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java906 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java932 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java935 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…ava/org/apache/iceberg/flink/source/TestFlinkScan.java118 .appendToTable(org.apache.iceberg.TestHelpers.Row.of("2020-03-20", 0), expectedRecords);CODE
CRITICAL…ava/org/apache/iceberg/flink/source/TestFlinkScan.java130 .appendToTable(org.apache.iceberg.TestHelpers.Row.of("2020-03-20", 0), inputRecords);CODE
CRITICAL…ava/org/apache/iceberg/flink/source/TestFlinkScan.java157 org.apache.iceberg.TestHelpers.Row.of("2020-03-2" + idx, Integer.toString(idx)),CODE
CRITICAL…ava/org/apache/iceberg/flink/source/TestFlinkScan.java426 helper.writeFile(org.apache.iceberg.TestHelpers.Row.of("2020-03-20", 0), expectedRecords);CODE
CRITICAL…ava/org/apache/iceberg/flink/source/TestFlinkScan.java429 org.apache.iceberg.TestHelpers.Row.of("2020-03-21", 0),CODE
CRITICAL…ava/org/apache/iceberg/flink/source/TestFlinkScan.java498 org.apache.iceberg.TestHelpers.Row.of(CODE
CRITICAL…/java/org/apache/iceberg/flink/source/TestSqlBase.java122 org.apache.iceberg.flink.TestHelpers.assertRecords(CODE
CRITICAL…/java/org/apache/iceberg/flink/source/TestSqlBase.java149 org.apache.iceberg.flink.TestHelpers.assertRecords(CODE
CRITICAL…/java/org/apache/iceberg/flink/source/TestSqlBase.java163 org.apache.iceberg.flink.TestHelpers.assertRecords(CODE
CRITICAL…/apache/iceberg/flink/source/TestFlinkInputFormat.java166 org.apache.iceberg.TestHelpers.Row.of(record.get(1, Record.class).get(1));CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java355 org.apache.iceberg.TestHelpers.Row.of("a"),CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java366 org.apache.iceberg.TestHelpers.Row.of("b"),CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java526 org.apache.iceberg.TestHelpers.Row.of("a"),CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java534 org.apache.iceberg.TestHelpers.Row.of("b"),CODE
CRITICAL…rg/apache/iceberg/flink/source/TestFlinkSourceSql.java84 org.apache.iceberg.flink.TestHelpers.assertRecords(CODE
CRITICAL…link/source/TestIcebergSourceBoundedConverterBase.java132 .appendToTable(org.apache.iceberg.TestHelpers.Row.of(dateStr, 0), expectedRecords);CODE
CRITICAL…c/main/java/org/apache/iceberg/flink/FlinkCatalog.java674 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java118 org.apache.iceberg.expressions.Expressions.equal(pair.first(), pair.second());CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java136 UnboundPredicate<Float> expected = org.apache.iceberg.expressions.Expressions.isNaN("field3");CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java153 org.apache.iceberg.expressions.Expressions.notEqual(pair.first(), pair.second());CODE
CRITICAL…st/java/org/apache/iceberg/flink/TestFlinkFilters.java171 UnboundPredicate<Float> expected = org.apache.iceberg.expressions.Expressions.notNaN("field3");CODE
226 more matches not shown…
Over-Commented Block116 hits · 116 pts
SeverityFileLineSnippetContext
LOW.asf.yaml1#COMMENT
LOW…main/java/org/apache/iceberg/nessie/NessieCatalog.java181 }COMMENT
LOWdocker/iceberg-rest-fixture/entrypoint.sh1#!/usr/bin/env shCOMMENT
LOWdocker/iceberg-flink-quickstart/docker-compose.yml1#COMMENT
LOW…st/java/org/apache/iceberg/TestMetadataTableScans.java1061 if (formatVersion == 1) {COMMENT
LOW…/test/java/org/apache/iceberg/util/TestBinPacking.java201 // 2. [5, 1]COMMENT
LOW…in/java/org/apache/iceberg/IncrementalFileCleanup.java181 // determine whether the changes in this snapshot are in the current table stateCOMMENT
LOW…in/java/org/apache/iceberg/IncrementalFileCleanup.java221 boolean isFromExpiringSnapshot = expiredIds.contains(manifest.snapshotId());COMMENT
LOW…rg/apache/iceberg/mr/mapreduce/IcebergInputFormat.java281 }COMMENT
LOW…g/apache/iceberg/flink/sink/IcebergFilesCommitter.java341 "Should have no referenced data files for append.");COMMENT
LOW…iceberg/flink/sink/shuffle/DataStatisticsOperator.java121COMMENT
LOW…/iceberg/gcp/bigquery/BigQueryMetastoreClientImpl.java561 //COMMENT
LOWdocs/mkdocs.yml1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOWgradle/libs.versions.toml1#COMMENT
LOW.github/labeler.yml1#COMMENT
LOW.github/dependabot.yml1#COMMENT
LOW.github/workflows/asf-allowlist-check.yml1#COMMENT
LOW.github/workflows/labeler.yml1#COMMENT
LOW.github/workflows/spark-ci.yml1#COMMENT
LOW.github/workflows/open-api.yml1#COMMENT
LOW.github/workflows/codeql.yml1#COMMENT
LOW.github/workflows/site-ci.yml1#COMMENT
LOW.github/workflows/stale.yml1#COMMENT
LOW.github/workflows/jmh-benchmarks.yml1#COMMENT
LOW.github/workflows/zizmor.yml1#COMMENT
LOW.github/workflows/flink-ci.yml1#COMMENT
LOW.github/workflows/java-ci.yml1#COMMENT
LOW.github/workflows/kafka-connect-ci.yml1#COMMENT
LOW.github/workflows/license-check.yml1#COMMENT
LOW.github/workflows/publish-snapshot.yml1#COMMENT
LOW.github/workflows/pr-title-check.yml1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOW.github/workflows/recurring-jmh-benchmarks.yml1#COMMENT
LOW.github/workflows/cve-scan.yml1#COMMENT
LOW.github/workflows/cve-scan.yml81concurrency:COMMENT
LOW.github/workflows/api-binary-compatibility.yml1#COMMENT
LOW.github/workflows/hive-ci.yml1#COMMENT
LOW.github/workflows/docs-ci.yml1#COMMENT
LOW.github/workflows/delta-conversion-ci.yml1#COMMENT
LOW…thub/workflows/publish-iceberg-rest-fixture-docker.yml1#COMMENT
LOW.github/ISSUE_TEMPLATE/iceberg_improvement.yml1#COMMENT
LOW.github/ISSUE_TEMPLATE/iceberg_question.yml1#COMMENT
LOW.github/ISSUE_TEMPLATE/iceberg_bug_report.yml1#COMMENT
LOW.github/ISSUE_TEMPLATE/iceberg_proposal.yml1#COMMENT
LOWsite/mkdocs.yml1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOWsite/requirements.txt1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOWsite/mkdocs-dev.yml1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOWsite/markdownlint.yml1#COMMENT
LOWsite/nav.yml1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOWsite/docs/blog/.authors.yml1# Licensed to the Apache Software Foundation (ASF) under one or moreCOMMENT
LOWsite/hooks/version_alias.py1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOWsite/dev/common.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/serve-dev.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/lint.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/build.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/clean.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/setup_env.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/deploy.sh1#!/usr/bin/env bashCOMMENT
LOWsite/dev/serve.sh1#!/usr/bin/env bashCOMMENT
LOW…est/java/org/apache/iceberg/types/TestConversions.java121 .isEqualTo(new byte[] {0, -124, -41, 23, 0, 0, 0, 0});COMMENT
LOWdev/source-release.sh1#!/bin/bashCOMMENT
56 more matches not shown…
Fake / Example Data50 hits · 58 pts
SeverityFileLineSnippetContext
LOWcore/src/test/java/org/apache/iceberg/TestMetrics.java659 String value = "Lorem ipsum dolor sit amet";CODE
LOWcore/src/test/java/org/apache/iceberg/TestMetrics.java659 String value = "Lorem ipsum dolor sit amet";CODE
LOW…ava/org/apache/iceberg/variants/VariantTestHelper.java103 object.put("name", Variants.of("John Doe"));CODE
LOW…ava/org/apache/iceberg/flink/TestFlinkVariantType.java98 shreddedObject.put("name", Variants.of("John Doe"));CODE
LOW…ava/org/apache/iceberg/flink/TestFlinkVariantType.java125 assertThat(binaryVariant.getField("name").getString()).isEqualTo("John Doe");CODE
LOW…he/iceberg/azure/TestAdlsTokenCredentialProviders.java149 return Mono.just(new AccessToken("dummy-token", OffsetDateTime.now().plusHours(1)));CODE
LOW…t/java/org/apache/iceberg/aws/TestRESTSigV4Signer.java157 .withToken("fake_token")CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java121 RowFactory.create(1, "John Doe", "hr", Date.valueOf("2021-01-01")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java122 RowFactory.create(2, "Jane Doe", "hr", Date.valueOf("2021-01-02")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java168 1, "John Doe", "hr", Timestamp.valueOf("2021-01-01 00:00:00")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java170 2, "Jane Doe", "hr", Timestamp.valueOf("2021-01-02 00:00:00")),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java797 "CALL %s.system.add_files('%s', '%s', map('naMe', 'John Doe'))",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java804 SELECT id, `naMe`, dept, subdept FROM %s WHERE `naMe` = 'John Doe' ORDER BY idCODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java809 .filter(r -> r[1].equals("John Doe"))CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java815 "SELECT id, `naMe`, dept, subdept from %s WHERE `naMe` = 'John Doe' ORDER BY id",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java823 "SELECT id, `naMe`, dept, subdept FROM %s WHERE `naMe` = 'John Doe' ORDER BY id",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1239 RowFactory.create(1, "John Doe", "hr", "communications"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1240 RowFactory.create(2, "Jane Doe", "hr", "salary"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1290 RowFactory.create(1, "John Doe", toDate("2021-01-01"), "01"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1291 RowFactory.create(2, "Jane Doe", toDate("2021-01-01"), "01"),CODE
LOW…test/java/org/apache/iceberg/spark/sql/TestSelect.java690 sql("INSERT INTO %s VALUES (1, STRUCT('123 Main St'))", nestedStructTable);CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java121 RowFactory.create(1, "John Doe", "hr", Date.valueOf("2021-01-01")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java122 RowFactory.create(2, "Jane Doe", "hr", Date.valueOf("2021-01-02")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java168 1, "John Doe", "hr", Timestamp.valueOf("2021-01-01 00:00:00")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java170 2, "Jane Doe", "hr", Timestamp.valueOf("2021-01-02 00:00:00")),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java795 "CALL %s.system.add_files('%s', '%s', map('naMe', 'John Doe'))",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java802 SELECT id, `naMe`, dept, subdept FROM %s WHERE `naMe` = 'John Doe' ORDER BY idCODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java807 .filter(r -> r[1].equals("John Doe"))CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java813 "SELECT id, `naMe`, dept, subdept from %s WHERE `naMe` = 'John Doe' ORDER BY id",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java821 "SELECT id, `naMe`, dept, subdept FROM %s WHERE `naMe` = 'John Doe' ORDER BY id",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1237 RowFactory.create(1, "John Doe", "hr", "communications"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1238 RowFactory.create(2, "Jane Doe", "hr", "salary"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1288 RowFactory.create(1, "John Doe", toDate("2021-01-01"), "01"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1289 RowFactory.create(2, "Jane Doe", toDate("2021-01-01"), "01"),CODE
LOW…test/java/org/apache/iceberg/spark/sql/TestSelect.java698 sql("INSERT INTO %s VALUES (1, STRUCT('123 Main St'))", nestedStructTable);CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java121 RowFactory.create(1, "John Doe", "hr", Date.valueOf("2021-01-01")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java122 RowFactory.create(2, "Jane Doe", "hr", Date.valueOf("2021-01-02")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java168 1, "John Doe", "hr", Timestamp.valueOf("2021-01-01 00:00:00")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java170 2, "Jane Doe", "hr", Timestamp.valueOf("2021-01-02 00:00:00")),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java795 "CALL %s.system.add_files('%s', '%s', map('naMe', 'John Doe'))",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java802 SELECT id, `naMe`, dept, subdept FROM %s WHERE `naMe` = 'John Doe' ORDER BY idCODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java807 .filter(r -> r[1].equals("John Doe"))CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java813 "SELECT id, `naMe`, dept, subdept from %s WHERE `naMe` = 'John Doe' ORDER BY id",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java821 "SELECT id, `naMe`, dept, subdept FROM %s WHERE `naMe` = 'John Doe' ORDER BY id",CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1237 RowFactory.create(1, "John Doe", "hr", "communications"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1238 RowFactory.create(2, "Jane Doe", "hr", "salary"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1288 RowFactory.create(1, "John Doe", toDate("2021-01-01"), "01"),CODE
LOW…he/iceberg/spark/extensions/TestAddFilesProcedure.java1289 RowFactory.create(2, "Jane Doe", toDate("2021-01-01"), "01"),CODE
LOW…a/org/apache/iceberg/spark/data/TestSparkVariants.java133 object.put("name", Variants.of("John Doe"));CODE
LOW…test/java/org/apache/iceberg/spark/sql/TestSelect.java698 sql("INSERT INTO %s VALUES (1, STRUCT('123 Main St'))", nestedStructTable);CODE
Cross-File Repetition3 hits · 15 pts
SeverityFileLineSnippetContext
HIGH…pache/iceberg/flink/TestFlinkVariantShreddingType.java0insert into %s values (1, parse_json('{"name": "alice", "age": 30}')), (2, parse_json('{"name": "bob", "age": 25}')), (3STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0insert into %s values (1, parse_json('{"name": "alice", "age": 30}')), (2, parse_json('{"name": "bob", "age": 25}')), (3STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0insert into %s values (1, parse_json('{"name": "alice", "age": 30}')), (2, parse_json('{"name": "bob", "age": 25}')), (3STRING
Synthetic Comment Markers2 hits · 10 pts
SeverityFileLineSnippetContext
HIGHAGENTS.md173Pull requests that are authored or substantially generated by AI agents **must** disclose that in the PR description. WhCODE
HIGHAGENTS.md175See the [ASF generative tooling guidelines](https://www.apache.org/legal/generative-tooling.html) for additional policy CODE
Decorative Section Separators2 hits · 6 pts
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MEDIUM.github/workflows/cve-scan.yml87 # ------------------------------------------------------------------COMMENT
MEDIUM.github/workflows/cve-scan.yml98 # ------------------------------------------------------------------COMMENT
Self-Referential Comments1 hit · 3 pts
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MEDIUMdocker/iceberg-flink-quickstart/docker-compose.yml118 # Create the warehouse bucketCOMMENT
AI Slop Vocabulary1 hit · 3 pts
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MEDIUM…main/java/org/apache/iceberg/util/ZOrderByteUtils.java38 * https://aws.amazon.com/blogs/database/z-order-indexing-for-multifaceted-queries-in-amazon-dynamodb-part-2/COMMENT
Redundant / Tautological Comments2 hits · 3 pts
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LOWsite/dev/common.sh30 # Check if the remote exists before attempting to add itCOMMENT
LOWsite/dev/common.sh185 # Check if running in dev mode (only build nightly and latest for faster iteration)COMMENT
Example Usage Blocks1 hit · 2 pts
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LOWdocker/iceberg-flink-quickstart/docker-compose.yml22# Usage:COMMENT
Hyper-Verbose Identifiers1 hit · 2 pts
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LOWsite/docs/assets/javascript/lottie-player.js76 */function o(t,e,r){var i,s=t;return"object"==typeof t?(s=t.slot,i=t):i={flatten:e},r?l({slot:s,flatten:e,selector:r}COMMENT
Unused Imports1 hit · 1 pts
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LOWopen-api/rest-catalog-open-api.py18CODE