* feat(spark): add Apache Spark database driver
Spark Thrift Server speaks the HiveServer2 protocol, so the Spark driver
reuses the hive-jdbc agent runtime. Registers spark (agentKey=spark,
defaultPort=10015) across the manifest, DatabaseType enum, agent catalog,
SQL dialects, connection dialog, and a SparkAgent built on AbstractJdbcAgent.
* feat(spark): add catalog support and official logo
SparkAgent now supports Spark 3.4+ multi-catalog (Paimon, Lance, Iceberg)
via catalog=<name> in url_params, mirroring the StarRocks catalog flow:
- afterConnect switches to the configured catalog via USE <catalog>
- listDatabases returns the catalog name when SHOW DATABASES is empty
(catalogs like Lance expose tables at the catalog root with no databases)
- listTables uses SHOW TABLES IN <catalog>[.<schema>] uniformly, working
for both catalog-root tables (Lance) and catalog.schema tables (Paimon)
- setSchemaSQL qualifies USE with the catalog to prevent resetting to
spark_catalog on schema switches
- buildJdbcUrl omits database from the URL path
Also replaces the placeholder lightning icon with the official Apache Spark
logo (spark-logo.png from spark.apache.org).
* fix(spark): use catalog-qualified DESCRIBE for column retrieval
getColumnsFromDescribe used USE <schema> + DESCRIBE <table>, which
generated USE `catalog`.`catalog` when the sidebar passed the catalog
name as the schema (Lance case where the catalog is the only node).
This failed and fell back to JDBC metadata which also returned nothing,
resulting in an empty DDL (CREATE TABLE ... ()).
Now uses DESCRIBE `catalog`.`table` directly when a catalog is
configured, bypassing USE entirely. Also fixes setSchemaSQL to treat
schema == catalog as catalog-only (no .schema suffix).
* fix(ci): add spark to metadata coverage matrix and BRIDGE_REQUIRED_TYPES
- agents/metadata-constraint-coverage.tsv: register spark as
intentional-fallback (SHOW TABLES/SHOW DATABASES, like Hive/TDengine)
- packages/node-core/src/diagnostics.ts: add spark to
BRIDGE_REQUIRED_TYPES (mcpMode=bridge, matches manifest)
* fix(ci): add spark to DBX_CONNECTION_TYPE_DESCRIPTION in mcp-server
The driver-manifest test asserts every manifest dbType appears in the
MCP server's connection type description string.
fix(ai): make reasoning expand/collapse consistent across messages
Replace per-message expandedReasoning Set with a global reasoningExpanded
boolean ref so all messages share the same toggle state. Default to collapsed.
This avoids the flip-flop where reasoning auto-expands during streaming and
collapses afterward, requiring repeated manual toggles.
- Replace expandedReasoning (Set<number>) with reasoningExpanded (boolean)
- Remove per-index toggleReasoning; use global flip instead
- Template uses reasoningExpanded instead of expandedReasoning.has(i) || msg.isThinking
@
* feat(sqlfile): add refresh, locate, and context menu to SQL Files panel
- Add per-folder Refresh and Reveal-in-file-manager buttons on each opened
folder header, plus a Refresh-all button on the panel toolbar. Re-scan
prunes expand state for paths that no longer exist after refresh.
- Add right-click context menus (via CustomContextMenu) for files, folders,
folder headers, and the panel background: open, execute SQL file, reveal
in file manager, copy path, expand/collapse all, refresh, remove folder.
- Highlight the selected tree row on click/right-click; clicking empty space
clears the selection.
- Wire "Execute SQL file" from the panel into the App-level
SqlFileExecutionDialog via connectionStore.sqlFileSource.filePath + a new
prefillFilePath prop, so the dialog opens with the file preview preloaded.
- Add zh-CN/en strings under sqlFileTree.
* chore(i18n): autofill new translations
* fix(sqlfile): clear prefillFilePath on close, dedupe i18n keys
---------
Co-authored-by: wanqinghua <wanqhua@gmail.com>
Co-authored-by: dbx-i18n-bot <github-actions[bot]@users.noreply.github.com>
Co-authored-by: t8y2 <1156263951@qq.com>
* fix(grid): reuse local result rows for csv/xlsx export instead of re-running query
Exporting the full result set ("导出当前结果集全部数据 CSV") previously
re-executed the source SQL on the database via the backend streaming path
(exportQueryResultViaBackend -> start_query_result_export), and the frontend
fallback (fullExportResult/fetchTabResultForExport) did the same. For a slow
query this means running it a second time just to export rows already on
screen, which can hang or crash (e.g. a 2-minute paimon query returning 30
rows).
When the in-memory result already holds the complete set (no server-side
pagination, not truncated, no further pages), skip both re-executing paths and
write the displayed rows directly. Large/truncated/paginated results keep the
original streaming behavior unchanged.
* fix(grid): export raw in-memory result for complete local result set
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Co-authored-by: t8y2 <1156263951@qq.com>
Milvus supports multiple databases, but the sidebar only ever showed
collections under the hardcoded "default" database. The backend returned
["default"] for every vector store and the frontend loaded collections
for a single database and flattened them under the connection node.
- Backend (vector_driver): add list_databases() that calls Milvus
/v2/vectordb/databases/list (falling back to "default" for older Milvus
and for non-Milvus vector stores), and thread a database parameter
through find_documents() instead of hardcoding "default".
- document_ops: list_databases_core delegates VectorDb to list_databases();
find_documents_core forwards the selected database.
- Frontend: add a "vector-database" tree node type. For Milvus, connections
expand into database nodes, which expand into their own collections.
Collection node ids are namespaced by database to avoid collisions
across databases, and the collection id is stored in meta so activation
no longer parses the node id.
Fixes#2693
Co-authored-by: 朱豪豪 <zhu.hh.sz@belle.com.cn>
TREE_SCHEMA mode databases (saphana, jdbc, postgres, etc.) use an empty string to represent the default database selection. The previous check treated empty string as no database selected and incorrectly blocked query execution.
* fix(mongo): hỗ trợ ISODate() và new Date() trong query MongoDB
Parser shell MongoDB ở frontend chỉ chuyển ObjectId(...) sang extended JSON,
nên filter chứa ISODate("...")/new Date("...") không parse được: câu lệnh rơi
xuống SQL executor và báo lỗi "Use MongoDB-specific commands".
Bổ sung rewrite ISODate(x)/new Date(x) -> {"$date":x} trong normalizeJsonArgument,
khớp với json_value_to_bson của backend (đã hiểu $date/$oid). Thêm test cho
filter dùng ISODate và new Date.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(mongo): decode $date extended JSON trong filter query
json_filter_value_to_bson chỉ chuyển {"$oid":...} nên filter chứa {"$date":...}
bị gửi thẳng lên server: { field: {"$date":...} } lỗi "unknown operator: $date",
còn { field: {"$gte": {"$date":...}} } so sánh với sub-document nên không khớp gì
(trả về rỗng).
Thêm nhánh parse_extended_json_date vào json_filter_value_to_bson, đồng bộ với
json_value_to_bson (vốn đã hiểu $date/$oid). Thêm test cho cả equality và $gte.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* Fix: Scope Disconnects To Connection Attempts
- Allow reconnecting while a scoped disconnect is still pending
- Track successful local connection attempts for scoped backend disconnects
- Prevent older disconnect completions from clearing newer reconnect errors
- Update disconnect state immediately while preserving revision-safe cleanup
- Add regression tests for reconnect and pending disconnect race cases
* Fix: Clear Root Metadata Load On Connection Cancel
* Test: Mock Installed Agents In Connection Store Timeout Spec
* Test: Mock listInstalledAgents in connection store timeout tests
jischeng