substrait-io/substrait-java
Nov 2024 – Oct 2025
12 Months active
Languages Used
JavaScalaShellYAMLMarkdownGradleTOML
Technical Skills
Backend DevelopmentData EngineeringData TransformationSQLSparkSubstrait
Andrew Coleman
PROFILE
Andrew Coleman
Andrew Coleman developed core features and integrations for the substrait-io/substrait-java repository, focusing on bridging Spark and Substrait for advanced data engineering workflows. He implemented translation layers for Spark SQL plans, DataFrames, and Hive DDL, enabling end-to-end read and write support, including DDL and data cleansing functions. Using Java, Scala, and YAML, Andrew enhanced compatibility, reliability, and testability by introducing builder patterns, schema validation, and robust CI/CD practices. His work addressed complex challenges in distributed systems, data serialization, and API design, resulting in a maintainable, extensible codebase that improved Spark interoperability and streamlined analytics pipeline development.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
33Total
Bugs
7
Commits
33
Features
17
Lines of code
4,911
Activity Months12
Your Network
71 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025For 2025-10, focusing on reliability, compatibility, and maintainability in substrait-io/substrait-java. Key efforts include introducing a YAML-based Spark dialect definition with tests, fixing Hive test integrity to prevent sporadic failures, and upgrading core dependencies to support newer validation behavior. These changes improve test reliability, ensure dialect-semantic alignment with FunctionMapper, and provide a smoother upgrade path.
4 Commits • 2 Features
Oct 1, 2025For 2025-10, focusing on reliability, compatibility, and maintainability in substrait-io/substrait-java. Key efforts include introducing a YAML-based Spark dialect definition with tests, fixing Hive test integrity to prevent sporadic failures, and upgrading core dependencies to support newer validation behavior. These changes improve test reliability, ensure dialect-semantic alignment with FunctionMapper, and provide a smoother upgrade path.
October 2025
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 gains: Strengthened build quality and widened Spark-Hive interoperability in substrait-java. Implemented strict compile-time checks (-Xfatal-warnings) to raise warnings as errors and suppressed a deprecation warning to maintain compatibility with legacy Substrait enum values in the Spark converter. Added Hive DDL (Create/Drop) and Insert support in the Spark backend, translating to DdlRel and WriteRel, with updates to builds, plan conversion, and tests. Overall impact: more reliable builds, broader SQL interoperability, and lower risk for downstream users. Technologies/skills demonstrated include Scala, Spark, Substrait relational rels (DdlRel, WriteRel), build tooling, test automation, and Hive/Spark integration.
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 gains: Strengthened build quality and widened Spark-Hive interoperability in substrait-java. Implemented strict compile-time checks (-Xfatal-warnings) to raise warnings as errors and suppressed a deprecation warning to maintain compatibility with legacy Substrait enum values in the Spark converter. Added Hive DDL (Create/Drop) and Insert support in the Spark backend, translating to DdlRel and WriteRel, with updates to builds, plan conversion, and tests. Overall impact: more reliable builds, broader SQL interoperability, and lower risk for downstream users. Technologies/skills demonstrated include Scala, Spark, Substrait relational rels (DdlRel, WriteRel), build tooling, test automation, and Hive/Spark integration.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08: Delivered a key feature in substrait-java that broadens Spark-Substrait integration and improves data handling for large DataFrames. Implemented Spark DataFrame Translation to Substrait VirtualTableScan (LogicalRDD) with a configurable rddLimit. This enables translation of DataFrames created via Spark's createDataFrame() into Substrait's VirtualTableScan and introduces an overridable rddLimit to prevent serialization of very large datasets, reducing memory pressure and avoiding potential OOM scenarios in large-scale jobs. Commit 142c5749989532cc5198075c87ac1fedd08d60ab (feat(spark): add LogicalRDD support (#451)) captures this change. No major bugs fixed this month.
1 Commits • 1 Features
Aug 1, 2025Month 2025-08: Delivered a key feature in substrait-java that broadens Spark-Substrait integration and improves data handling for large DataFrames. Implemented Spark DataFrame Translation to Substrait VirtualTableScan (LogicalRDD) with a configurable rddLimit. This enables translation of DataFrames created via Spark's createDataFrame() into Substrait's VirtualTableScan and introduces an overridable rddLimit to prevent serialization of very large datasets, reducing memory pressure and avoiding potential OOM scenarios in large-scale jobs. Commit 142c5749989532cc5198075c87ac1fedd08d60ab (feat(spark): add LogicalRDD support (#451)) captures this change. No major bugs fixed this month.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07: Delivered a key feature enabling Spark to write data through Substrait by implementing Spark Insert and Append Write via Substrait WriteRel in substrait-java. This work includes tests validating the new write path. No major bugs fixed this period. Overall, the feature expands Spark integration capabilities, enabling end-to-end data ingestion and write workflows, strengthening production-readiness and paving the way for broader Substrait adoption. Technologies demonstrated include Substrait WriteRel integration, Spark I/O, Java, and test-driven development, with changes tracked via commit 1954fc8df5fbd7366b0dcac7205ab69454a5843b.
July 2025
1 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07: Delivered a key feature enabling Spark to write data through Substrait by implementing Spark Insert and Append Write via Substrait WriteRel in substrait-java. This work includes tests validating the new write path. No major bugs fixed this period. Overall, the feature expands Spark integration capabilities, enabling end-to-end data ingestion and write workflows, strengthening production-readiness and paving the way for broader Substrait adoption. Technologies demonstrated include Substrait WriteRel integration, Spark I/O, Java, and test-driven development, with changes tracked via commit 1954fc8df5fbd7366b0dcac7205ab69454a5843b.
June 2025
6 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for substrait-java: Implemented core write/DDL/named update capabilities, expanded Spark compatibility, and improved developer ergonomics. Delivered end-to-end write and DDL workflows via new relation types, enhanced Spark bitwise shift support, and DSL builder improvements, while staying aligned with upstream Substrait.
6 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for substrait-java: Implemented core write/DDL/named update capabilities, expanded Spark compatibility, and improved developer ergonomics. Delivered end-to-end write and DDL workflows via new relation types, enhanced Spark bitwise shift support, and DSL builder improvements, while staying aligned with upstream Substrait.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for substrait-java focused on enhancing Spark dialect compatibility and data cleansing capabilities. Delivered TRIM, LTRIM, and RTRIM support with accurate signature handling, accompanied by tests to ensure robustness. The work strengthens SQL compatibility and sets the stage for broader Spark integration and analytics workflows.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for substrait-java focused on enhancing Spark dialect compatibility and data cleansing capabilities. Delivered TRIM, LTRIM, and RTRIM support with accurate signature handling, accompanied by tests to ensure robustness. The work strengthens SQL compatibility and sets the stage for broader Spark integration and analytics workflows.
April 2025
7 Commits • 2 Features
Apr 1, 2025Summary for 2025-04: Focused on delivering core Substrait-Spark integration features, stabilizing file-format handling, and improving API usability and test maintenance. The month delivered concrete improvements across translation, compatibility, and testing to drive business value by reducing Spark integration issues, accelerating test cycles, and easing adoption for data engineers using Python. Key features delivered: - Substrait-Spark plan translation and compatibility improvements: alias expression round-trip support; date/time function translations; cleanup of internal function usage to simplify translation. - Immutable file format handling fix for Spark integration: ensure ImmutableFileFormat objects are instantiated via builders to improve round-trip test reliability. - API usability improvement: make SparkSession optional in ToLogicalPlan to simplify usage from Python and broaden test coverage. - Documentation and maintenance improvements: fix readme link to substrait-spark example; cleanup test utilities to reduce maintenance overhead. Major bugs fixed: - Fix round-trip reliability for file-based query plans by enforcing builder-based instantiation of ImmutableFileFormat objects. - Documentation correctness: corrected broken readme link. - Test suite cleanliness: removed unused test utility code to simplify tests. Overall impact and accomplishments: - Improved Spark integration reliability and compatibility, enabling more robust Spark-based ETL and BI workflows. - Reduced friction for Python users and tests, accelerating development cycles and adoption. - Lower maintenance cost through test utilities cleanup and clearer documentation. Technologies/skills demonstrated: - Java/Spark integration, Substrait translation layer, and plan comparison logic. - Builder patterns for object creation, test design and maintenance, and cross-language usability (Python bindings). - Version-controlled feature delivery with clear commits addressing translation, API usability, and test stability.
7 Commits • 2 Features
Apr 1, 2025Summary for 2025-04: Focused on delivering core Substrait-Spark integration features, stabilizing file-format handling, and improving API usability and test maintenance. The month delivered concrete improvements across translation, compatibility, and testing to drive business value by reducing Spark integration issues, accelerating test cycles, and easing adoption for data engineers using Python. Key features delivered: - Substrait-Spark plan translation and compatibility improvements: alias expression round-trip support; date/time function translations; cleanup of internal function usage to simplify translation. - Immutable file format handling fix for Spark integration: ensure ImmutableFileFormat objects are instantiated via builders to improve round-trip test reliability. - API usability improvement: make SparkSession optional in ToLogicalPlan to simplify usage from Python and broaden test coverage. - Documentation and maintenance improvements: fix readme link to substrait-spark example; cleanup test utilities to reduce maintenance overhead. Major bugs fixed: - Fix round-trip reliability for file-based query plans by enforcing builder-based instantiation of ImmutableFileFormat objects. - Documentation correctness: corrected broken readme link. - Test suite cleanliness: removed unused test utility code to simplify tests. Overall impact and accomplishments: - Improved Spark integration reliability and compatibility, enabling more robust Spark-based ETL and BI workflows. - Reduced friction for Python users and tests, accelerating development cycles and adoption. - Lower maintenance cost through test utilities cleanup and clearer documentation. Technologies/skills demonstrated: - Java/Spark integration, Substrait translation layer, and plan comparison logic. - Builder patterns for object creation, test design and maintenance, and cross-language usability (Python bindings). - Version-controlled feature delivery with clear commits addressing translation, API usability, and test stability.
April 2025
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025: Substrait-Java delivered substantive Spark translation enhancements and core library improvements aimed at expanding Spark compatibility and improving translation fidelity to Substrait. Key features include Spark SQL special-relations support and no-FROM subqueries, plus PrecisionTime, rounding functions, and merged-structure handling. The work includes an upgrade to Substrait 0.69.0 to align with the latest spec, enhancing compatibility and future-proofing translations. No major bugs reported in this period; focus was on feature delivery and reliability improvements with clear business value for Spark-based workloads.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025: Substrait-Java delivered substantive Spark translation enhancements and core library improvements aimed at expanding Spark compatibility and improving translation fidelity to Substrait. Key features include Spark SQL special-relations support and no-FROM subqueries, plus PrecisionTime, rounding functions, and merged-structure handling. The work includes an upgrade to Substrait 0.69.0 to align with the latest spec, enhancing compatibility and future-proofing translations. No major bugs reported in this period; focus was on feature delivery and reliability improvements with clear business value for Spark-based workloads.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 – Focused on delivering core integration improvements for Substrait Java and Spark-based text data ingestion. Upgraded the Substrait submodule to 0.66.0 and extended Spark's DelimiterSeparatedTextReadOptions to support flexible delimiters, quoting rules, header skipping, and robust null value handling. These changes improve compatibility with the latest Substrait specs and enable more reliable processing of delimited text data in analytics pipelines, driving downstream data quality and faster onboarding of new data sources.
2 Commits • 1 Features
Feb 1, 2025February 2025 – Focused on delivering core integration improvements for Substrait Java and Spark-based text data ingestion. Upgraded the Substrait submodule to 0.66.0 and extended Spark's DelimiterSeparatedTextReadOptions to support flexible delimiters, quoting rules, header skipping, and robust null value handling. These changes improve compatibility with the latest Substrait specs and enable more reliable processing of delimited text data in analytics pipelines, driving downstream data quality and faster onboarding of new data sources.
February 2025
January 2025
1 Commits
Jan 1, 2025January 2025 — Substrait Java repository: Build stability and Gradle integration for osv-scanner to improve CI reliability and developer experience. Key changes included pinning the osv-scanner Docker image to v1.9.2 to fix build failures and adding a proxies.json symlink to enable Gradle native image builds.
January 2025
1 Commits
Jan 1, 2025January 2025 — Substrait Java repository: Build stability and Gradle integration for osv-scanner to improve CI reliability and developer experience. Key changes included pinning the osv-scanner Docker image to v1.9.2 to fix build failures and adding a proxies.json symlink to enable Gradle native image builds.
December 2024
1 Commits
Dec 1, 2024December 2024: Delivered a critical bug fix in substrait-java to make date/time casting timezone-aware, ensuring correct string representations and reliable logical plan resolution across sessions.
1 Commits
Dec 1, 2024December 2024: Delivered a critical bug fix in substrait-java to make date/time casting timezone-aware, ensuring correct string representations and reliable logical plan resolution across sessions.
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 20242024-11 monthly summary for substrait-java: Stabilized Spark integration and expanded Spark dialect function coverage, delivering correctness fixes and test-informed enhancements that improve reliability and cross-Spark compatibility. Key outcomes include a critical bug fix in Spark Expand Relation conversion and the addition of numeric function mappings for Spark, with tests updated accordingly to reflect expected behavior and future coverage.
November 2024
2 Commits • 1 Features
Nov 1, 20242024-11 monthly summary for substrait-java: Stabilized Spark integration and expanded Spark dialect function coverage, delivering correctness fixes and test-informed enhancements that improve reliability and cross-Spark compatibility. Key outcomes include a critical bug fix in Spark Expand Relation conversion and the addition of numeric function mappings for Spark, with tests updated accordingly to reflect expected behavior and future coverage.
Activity
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Quality Metrics
Correctness92.4%
Maintainability89.4%
Architecture89.2%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJavaMarkdownScalaShellTOMLYAML
Technical Skills
API DesignBackend DevelopmentBig DataBuild AutomationBuild Tooling (Gradle)Builder PatternCI/CDCode GenerationCompiler DesignCore JavaDSL DesignData EngineeringData ProcessingData Serialization (YAML, JSON)Data Structures
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline