build(deps): bump com.arcadedb:arcadedb-network from 26.3.1 to 26.3.2 in /customer-360/java in the arcadedb group

[dependabot]

Bumps the arcadedb group in /customer-360/java with 1 update: com.arcadedb:arcadedb-network.

Updates com.arcadedb:arcadedb-network from 26.3.1 to 26.3.2

Release notes

Sourced from com.arcadedb:arcadedb-network's releases.

26.3.2

ArcadeDB 26.3.2 Release Notes

We're excited to announce ArcadeDB 26.3.2, a performance-focused release with 100+ commits and 21 closed issues that introduces the Graph Analytical View (GAV) for OLAP-grade graph analytics, a high-performance bulk edge importer, HTTP batch endpoint, gRPC batch graph loading, GraphQL introspection, MCP stdio transport, and numerous bug fixes and performance improvements across the SQL, OpenCypher, and Gremlin engines.

Major New Features

Graph Analytical View (GAV) — CSR-based OLAP Acceleration

Introduced the Graph Analytical View (#3617, #3618), a CSR (Compressed Sparse Row) based OLAP acceleration layer that dramatically speeds up graph analytics. GAV is automatically used by both the SQL and OpenCypher query planners when beneficial, enabling orders-of-magnitude faster execution of graph algorithms, traversals, and pattern matching on large datasets. Key optimizations include:

• Build-probe hash join for multi-pattern Cypher queries sharing endpoint variables
• Count push-down to graph algorithms, avoiding materialization of millions of records
• Sorted neighbor lists enabling merge-join for triangle counting and similar algorithms
• Anti-join with binary search for target nodes in anchor's sorted neighbor list
• Automatic async rebuild on graph mutations

High-Performance Bulk Edge Creation

New GraphBatchImporter (#3621) for ultra-fast bulk edge creation with parallel writes for both outgoing and incoming edges, parallel sorting, and optimized edge insertion. Includes a new database.batch() API for super-fast batch operations.

HTTP Batch Endpoint

Added a new /batch HTTP endpoint (#3675) for executing multiple operations in a single HTTP request, reducing round-trip overhead for bulk operations.

gRPC GraphBatchLoad RPC

New GraphBatchLoad client-streaming RPC (#3678, #3680) in the gRPC module for high-throughput bulk graph loading via streaming.

GraphQL Introspection

GraphQL introspection is now available (#3671), enabling tools and IDEs to discover the schema and available queries/mutations automatically.

MCP Stdio Transport

Added MCP stdio transport (#3685) alongside the existing SSE transport, enabling direct integration with AI assistants and tools that use the stdio protocol. Also added profiler and server settings to MCP server tools (#3663) and fixed MCP authentication with API tokens (#3620).

Auto-tune maxPageRAM

ArcadeDB now auto-detects container memory limits at startup (#3580) and adjusts maxPageRAM accordingly, improving out-of-the-box performance in Docker and Kubernetes environments.

Bug Fixes & Improvements

SQL Engine

• Fixed aggregating projection with count(*) returning nothing on empty types (#3585)
• Fixed Invalid value for $current: null when SQL command is executed (#3583, #3584)
• Fixed CONTAINSANY with method call on left-hand side (regression) (#3581, #3582)
• Fixed SQLScript with LET/RETURN throwing QueryNotIdempotentException (#3664, #3666)
• Fixed Class Cast Exception in SQL queries
• Optimized graph filtering (SQL only)

... (truncated)

Commits

• 6acb842 Set release version to 26.3.2
• b18da94 fix: force deletion of WAL file after timeout
• 9dcbffb feat: new mcp-stdio
• 5c41442 fix: old issue hard to reproduce with high concurrency
• c5d86ea chore: using latest stable version for glama
• 5acc7af fix: concurrency over multi page record update
• cf0ea11 Merge branch 'main' of https://github.com/ArcadeData/arcadedb
• 5f53791 chore: using non snapshot release
• 2fe8080 fix: async graph build not re-triggered for mutations during ongoing build (#...
• 00b6e92 feat: improved studio rendering with label size
• Additional commits viewable in compare view

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