HugeGraph 1.3.0 Release Notes

Operating Environment / Version Description

  1. consider using Java 11 in hugegraph/toolchain/commons, also compatible with Java 8 now.
  2. hugegraph-computer required to use Java 11, not compatible with Java 8!
  3. Using Java8 may loss some security ensured, we recommend using Java 11 in production env with AuthSystem enabled.

1.3.0 is the last major version compatible with Java 8, compatibility with Java 8 will end in next release(1.5.0) when PD/Store merged into master branch (Except for the java-client).

PS: In the future, we will gradually upgrade the java version from Java 11 -> Java 17 -> Java 21.

hugegraph

In this version, we have fixed some SEC-related issues. If used in an online service or exposed to the public, please upgrade to the latest version and enable authorization authentication

API Changes

  • feat(api): optimize adjacent-edges query (#2408)

Feature Changes

  • feat: support docker use the auth when starting (#2403)
  • feat: added the OpenTelemetry trace support (#2477)

Bug Fix

  • fix(core): task restore interrupt problem on restart server (#2401)
  • fix(server): reinitialize the progress to set up graph auth friendly (#2411)
  • fix(chore): remove zgc in dockerfile for ARM env (#2421)
  • fix(server): make CacheManager constructor private to satisfy the singleton pattern (#2432)
  • fix(server): unify the license headers (#2438)
  • fix: format and clean code in dist and example modules (#2441)
  • fix: format and clean code in core module (#2440)
  • fix: format and clean code in modules (#2439)
  • fix(server): clean up the code (#2456)
  • fix(server): remove extra blank lines (#2459)
  • fix(server): add tip for gremlin api NPE with an empty query (#2467)
  • fix(server): fix the metric name when promthus collects hugegraph metric, see issue (#2462)
  • fix(server): serverStarted error when execute gremlin example (#2473)
  • fix(auth): enhance the URL check (#2422)

Option Changes

  • refact(server): enhance the storage path in RocksDB & clean code (#2491)

Other Changes

  • chore: add a license link (#2398)
  • doc: enhance NOTICE info to keep it clear (#2409)
  • chore(server): update swagger info for default server profile (#2423)
  • fix(server): unify license header for protobuf file (#2448)
  • chore: improve license header checker confs and pre-check header when validating (#2445)
  • chore: unify to call SchemaLabel.getLabelId() (#2458)
  • chore: refine the hg-style.xml specification (#2457)
  • chore: Add a newline formatting configuration and a comment for warning (#2464)
  • chore(server): clear context after req done (#2470)

hugegraph-toolchain

API Changes

Feature Changes

  • fix(loader): update shade plugin for spark loader (#566)
  • fix(hubble): yarn install timeout in arm64 (#583)
  • fix(loader): support file name with prefix for hdfs source (#571)
  • feat(hubble): warp the exception info in HugeClientUtil (#589)

Bug Fix

  • fix: concurrency issue causing file overwrite due to identical filenames (#572)

Option Changes

  • feat(client): support user defined OKHTTPClient configs (#590)

Other Changes

  • doc: update copyright date(year) in NOTICE (#567)
  • chore(deps): bump ip from 1.1.5 to 1.1.9 in /hugegraph-hubble/hubble-fe (#580)
  • refactor(hubble): enhance maven front plugin (#568)
  • chore(deps): bump es5-ext from 0.10.53 to 0.10.63 in /hugegraph-hubble/hubble-fe (#582)
  • chore(hubble): Enhance code style in hubble (#592)
  • chore: upgrade version to 1.3.0 (#596)
  • chore(ci): update profile commit id for 1.3 (#597)

hugegraph-commons

Feature Changes

  • feat: support user defined RestClientConfig/HTTPClient params (#140)

Bug Fix

Other Changes

  • chore: disable clean flatten for deploy (#141)

Release Details

hugegraph-ai

This is the first release version of hugegraph-ai, it contains a variety of features, including an initialized Python client, knowledge graph construction capabilities through LLM, and the integration of RAG based on HugeGraph.

It also adds significant functionalities on python-client such as variable APIs, auth, metric, traverser, and task APIs, as well as interactive and visual demo creation with Gradio. In addition to these features, the release addresses several bugs and issues, ensuring a more stable and error-free user experience. Maintenance tasks such as dependency updates, project structure improvements, and the addition of basic CI further enhance the project’s robustness and developer workflow.

This release encapsulates the collaborative efforts of the HugeGraph community, with contributions from various members, ensuring the project’s continuous growth and improvement.

Feature Changes

  • feat: initialize hugegraph python client (#5)
  • feat(llm): knowledge graph construction by llm (#7)
  • feat: initialize rag based on HugeGraph (#20)
  • feat(client): add variables api and test (#24)
  • feat: add llm wenxinyiyan & config util & spo_triple_extract (#27)
  • feat: add auth&metric&traverser&task api and ut (#28)
  • feat: refactor construct knowledge graph task (#29)
  • feat: Introduce gradio for creating interactive and visual demo (#30)

Bug Fix

  • fix: invalid GitHub label (#3)
  • fix: import error (#13)
  • fix: function getEdgeByPage(): the generated query url does not include the parameter page (#15)
  • fix: issue template (#23)
  • fix: base-ref/head-ref missed in dependency-check-ci on branch push (#25)

Other Changes

  • chore: add asf.yaml and ISSUE_TEMPLATE (#1)
  • Bump urllib3 from 2.0.3 to 2.0.7 in /hugegraph-python (#8)
  • chore: create .gitignore file for py (#9)
  • refact: improve project structure & add some basic CI (#17)
  • chore: Update LICENSE and NOTICE (#31)
  • chore: add release scripts (#33)
  • chore: change file chmod 755 (#34)

Please check the release details/contributor in each repository:


Last modified November 13, 2024: doc: update 1.5.0 release notes (#380) (46aadec6)