AI Slop Code Risk Monitor

apache/iceberg

SlopCodeMonitor badge for apache/iceberg Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

Apache Iceberg

3.0 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for apache/iceberg, a Java project with 9,393 GitHub stars. SynthScan examined 1,480,121 lines of code across 6433 source files, recording 628 pattern matches distributed across 13 syntactic categories. The legacy adjusted pattern signal is 3.0 (Low pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

3.0
Adjusted Signal
3.0
Raw Pattern Score
100%
Time Factor
2026-10-30
Last Push
9.4K
Stars
Java
Language
1.5M
Lines of Code
6.4K
Files
628
Pattern Hits
2026-10-31
Scan Date
0.06
HC Hit Rate

Risk Review · Payload v1

Use each vector to guide manual verification of the underlying findings.

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 0.5/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 146 finding(s).

Hallucinated Dependency & Supply Chain Risk 12.5/100 · LOW

Are imports declared and package/API names verified? 418 finding(s).

Agent Over-Engineering Ratio 1.1/100 · LOW

Are wrappers, guards, and repeated structures necessary? 65 finding(s).

PR Review Velocity Impact 13.0/100 · LOW

Which changes need focused human review? 628 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 350HIGH 65MEDIUM 4LOW 209

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 628 distinct pattern matches across 13 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Hallucination Indicators350 hits · 3882 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…test/java/org/apache/iceberg/hive/TestHiveCatalog.java1390 return new org.apache.hadoop.hive.metastore.api.Table(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.java614 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(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.java638 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.java900 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.java929 org.apache.iceberg.util.DateTimeUtil.nanosFromTimestamp(CODE
CRITICAL…test/java/org/apache/iceberg/flink/DataGenerators.java932 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.java150 org.apache.iceberg.flink.TestHelpers.assertRecords(CODE
CRITICAL…/java/org/apache/iceberg/flink/source/TestSqlBase.java165 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.java353 org.apache.iceberg.TestHelpers.Row.of("a"),CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java364 org.apache.iceberg.TestHelpers.Row.of("b"),CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java524 org.apache.iceberg.TestHelpers.Row.of("a"),CODE
CRITICAL…pache/iceberg/flink/source/TestFlinkMetaDataTable.java532 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.java850 org.apache.flink.table.api.Schema.newBuilder()CODE
CRITICAL…c/main/java/org/apache/iceberg/flink/FlinkCatalog.java889 org.apache.flink.table.api.Schema.newBuilder().fromResolvedSchema(resolvedSchema).build();CODE
CRITICAL⚡…/sink/shuffle/StatisticsRecordSerializerBenchmark.java61 * at org.apache.flink.api.java.typeutils.runtime.kryo.FlinkChillPackageRegistrar.registerSerializers(FlinkChillPackCOMMENT
CRITICAL⚡…/sink/shuffle/StatisticsRecordSerializerBenchmark.java62 * at org.apache.flink.api.java.typeutils.runtime.kryo.KryoSerializer.getKryoInstance(KryoSerializer.java:504)COMMENT
290 more matches not shown…
Cross-File Repetition62 hits · 310 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…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
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.java0(1, parse_json('{"name": "alice", "age": 30, "dummy": null}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30, "dummy": null}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30, "dummy": null}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"age": "25"}')),\ (2, parse_json('{"age": 30}')),\ (3, parse_json('{"age": "35"}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"age": "25"}')),\ (2, parse_json('{"age": 30}')),\ (3, parse_json('{"age": "35"}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"age": "25"}')),\ (2, parse_json('{"age": 30}')),\ (3, parse_json('{"age": "35"}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"active": true}')),\ (2, parse_json('{"active": false}')),\ (3, parse_json('{"active": true}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"active": true}')),\ (2, parse_json('{"active": false}')),\ (3, parse_json('{"active": true}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"active": true}')),\ (2, parse_json('{"active": false}')),\ (3, parse_json('{"active": true}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"price": 123.456789}')),\ (2, parse_json('{"price": 678.90}')),\ (3, parse_json('{"price": 999.99}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"price": 123.456789}')),\ (2, parse_json('{"price": 678.90}')),\ (3, parse_json('{"price": 999.99}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"price": 123.456789}')),\ (2, parse_json('{"price": 678.90}')),\ (3, parse_json('{"price": 999.99}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"price": 123.45}')),\ (2, parse_json('{"price": 678.90}')),\ (3, parse_json('{"price": 999.99}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"price": 123.45}')),\ (2, parse_json('{"price": 678.90}')),\ (3, parse_json('{"price": 999.99}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"price": 123.45}')),\ (2, parse_json('{"price": 678.90}')),\ (3, parse_json('{"price": 999.99}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('["java", "scala", "python"]')),\ (2, parse_json('["rust", "go"]')),\ (3, parse_json('["javascript"]'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('["java", "scala", "python"]')),\ (2, parse_json('["rust", "go"]')),\ (3, parse_json('["javascript"]'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('["java", "scala", "python"]')),\ (2, parse_json('["rust", "go"]')),\ (3, parse_json('["javascript"]'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"tags": ["java", "scala", "python"]}')),\ (2, parse_json('{"tags": ["rust", "go"]}')),\ (3, parse_json(STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"tags": ["java", "scala", "python"]}')),\ (2, parse_json('{"tags": ["rust", "go"]}')),\ (3, parse_json(STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"tags": ["java", "scala", "python"]}')),\ (2, parse_json('{"tags": ["rust", "go"]}')),\ (3, parse_json(STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"location": {"city": "seattle", "zip": 98101}, "tags": ["java", "scala", "python"]}')),\ (2, parse_jsonSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"location": {"city": "seattle", "zip": 98101}, "tags": ["java", "scala", "python"]}')),\ (2, parse_jsonSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"location": {"city": "seattle", "zip": 98101}, "tags": ["java", "scala", "python"]}')),\ (2, parse_jsonSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parse_json('{"nameSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parse_json('{"nameSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parse_json('{"nameSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"value": 10}')),\ (2, parse_json('{"value": 1000}')),\ (3, parse_json('{"value": 100000}')),\ (4, parseSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"value": 10}')),\ (2, parse_json('{"value": 1000}')),\ (3, parse_json('{"value": 100000}')),\ (4, parseSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"value": 10}')),\ (2, parse_json('{"value": 1000}')),\ (3, parse_json('{"value": 100000}')),\ (4, parseSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"value": 1.5}')),\ (2, parse_json('{"value": 123.456789}')),\ (3, parse_json('{"value": 123456789123456STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"value": 1.5}')),\ (2, parse_json('{"value": 123.456789}')),\ (3, parse_json('{"value": 123456789123456STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"value": 1.5}')),\ (2, parse_json('{"value": 123.456789}')),\ (3, parse_json('{"value": 123456789123456STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parse_json('{"nameSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parse_json('{"nameSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, parse_json('{"name": "bob", "age": 25}')),\ (3, parse_json('{"nameSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"city": "nyc"}'), parse_json('{"source": "web"}')),\ (2, parse_json('{"city": "la"}'), parse_json('{"soSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"city": "nyc"}'), parse_json('{"source": "web"}')),\ (2, parse_json('{"city": "la"}'), parse_json('{"soSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"city": "nyc"}'), parse_json('{"source": "web"}')),\ (2, parse_json('{"city": "la"}'), parse_json('{"soSTRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('null')),\ (2, parse_json('null')),\ (3, parse_json('null'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('null')),\ (2, parse_json('null')),\ (3, parse_json('null'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('null')),\ (2, parse_json('null')),\ (3, parse_json('null'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, null),\ (3, parse_json('{"name": "charlie", "age": 35}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, null),\ (3, parse_json('{"name": "charlie", "age": 35}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice", "age": 30}')),\ (2, null),\ (3, parse_json('{"name": "charlie", "age": 35}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice"}')),\ (2, parse_json('{"name": "bob"}')),\ (3, parse_json('{"name": "charlie"}')),\ (4,STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice"}')),\ (2, parse_json('{"name": "bob"}')),\ (3, parse_json('{"name": "charlie"}')),\ (4,STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"name": "alice"}')),\ (2, parse_json('{"name": "bob"}')),\ (3, parse_json('{"name": "charlie"}')),\ (4,STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"score": 95}')),\ (2, parse_json('{"score": 88}')),\ (3, parse_json('{"score": 72}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"score": 95}')),\ (2, parse_json('{"score": 88}')),\ (3, parse_json('{"score": 72}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"score": 95}')),\ (2, parse_json('{"score": 88}')),\ (3, parse_json('{"score": 72}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(4, parse_json('{"score": "high"}')),\ (5, parse_json('{"score": "medium"}')),\ (6, parse_json('{"score": "low"}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(4, parse_json('{"score": "high"}')),\ (5, parse_json('{"score": "medium"}')),\ (6, parse_json('{"score": "low"}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(4, parse_json('{"score": "high"}')),\ (5, parse_json('{"score": "medium"}')),\ (6, parse_json('{"score": "low"}'))\STRING
HIGH…apache/iceberg/spark/variant/TestVariantShredding.java0(1, parse_json('{"val": 123.45}')),\ (2, parse_json('{"val": 678.90}')),\ (3, parse_json('{"val": 999.99}')),\ (4, parseSTRING
2 more matches not shown…
Over-Commented Block138 hits · 138 pts
SeverityFileLineSnippetContext
LOW.asf.yaml1#COMMENT
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LOWdocker/iceberg-rest-fixture/entrypoint.sh1#!/usr/bin/env shCOMMENT
LOWdocker/iceberg-flink-quickstart/docker-compose.yml1#COMMENT
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LOW…/test/java/org/apache/iceberg/util/TestBinPacking.java201 // 2. [5, 1]COMMENT
LOW…in/java/org/apache/iceberg/IncrementalFileCleanup.java201 : -1;COMMENT
LOW…in/java/org/apache/iceberg/IncrementalFileCleanup.java241 if (!isFromAncestor && isFromExpiringSnapshot && manifest.hasAddedFiles()) {COMMENT
LOW…g/apache/iceberg/flink/sink/IcebergFilesCommitter.java341 "Should have no referenced data files for append.");COMMENT
LOW…va/org/apache/iceberg/flink/sink/IcebergCommitter.java281 logCommitSummary(summary, description);COMMENT
LOW…iceberg/flink/sink/shuffle/DataStatisticsOperator.java121COMMENT
LOW…va/org/apache/iceberg/flink/sink/IcebergCommitter.java281 logCommitSummary(summary, description);COMMENT
LOW…va/org/apache/iceberg/flink/sink/IcebergCommitter.java281 logCommitSummary(summary, description);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…hub/trivyignore/kafka-connect-runtime.trivyignore.yaml1# Licensed to the Apache Software Foundation (ASF) under oneCOMMENT
LOW…hub/trivyignore/kafka-connect-runtime.trivyignore.yaml21# aligned to the project version (2.22.x). The remaining findings come fromCOMMENT
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/source-release-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.yml81 # ------------------------------------------------------------------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
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Fake / Example Data66 hits · 76 pts
SeverityFileLineSnippetContext
LOWcore/src/test/java/org/apache/iceberg/TestMetrics.java673 String value = "Lorem ipsum dolor sit amet";CODE
LOWcore/src/test/java/org/apache/iceberg/TestMetrics.java673 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…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.java138 RowFactory.create(1, "John Doe", "hr", Date.valueOf("2021-01-01")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java139 RowFactory.create(2, "Jane Doe", "hr", Date.valueOf("2021-01-02")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java185 1, "John Doe", "hr", Timestamp.valueOf("2021-01-01 00:00:00")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java187 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.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.java138 RowFactory.create(1, "John Doe", "hr", Date.valueOf("2021-01-01")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java139 RowFactory.create(2, "Jane Doe", "hr", Date.valueOf("2021-01-02")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java185 1, "John Doe", "hr", Timestamp.valueOf("2021-01-01 00:00:00")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java187 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.java138 RowFactory.create(1, "John Doe", "hr", Date.valueOf("2021-01-01")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java139 RowFactory.create(2, "Jane Doe", "hr", Date.valueOf("2021-01-02")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java185 1, "John Doe", "hr", Timestamp.valueOf("2021-01-01 00:00:00")),CODE
LOW…rg/spark/extensions/TestRewriteManifestsProcedure.java187 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
6 more matches not shown…
Synthetic Comment Markers2 hits · 10 pts
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HIGHAGENTS.md231Pull requests that are authored or substantially generated by AI agents **must** disclose that in the PR description. AlCODE
HIGHAGENTS.md239See the [ASF generative tooling guidelines](https://www.apache.org/legal/generative-tooling.html) for additional policy CODE
Decorative Section Separators2 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUM.github/workflows/cve-scan.yml81 # ------------------------------------------------------------------COMMENT
MEDIUM.github/workflows/cve-scan.yml92 # ------------------------------------------------------------------COMMENT
Cross-Language Confusion1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHopen-api/rest-catalog-open-api.py1939 description='An expression that limits which rows the reader may return.\n1. The expression must evaluate to a bCODE
Self-Referential Comments1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMdocker/iceberg-flink-quickstart/docker-compose.yml116 # Create the warehouse bucketCOMMENT
AI Slop Vocabulary1 hit · 3 pts
SeverityFileLineSnippetContext
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
SeverityFileLineSnippetContext
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