feat(elasticsearch): add hit document view and field type detection

apps/desktop/src/lib/__tests__/dataGrid/dataGridCellTypeVisual.spec.ts

@@ -25,6 +25,11 @@ describe("data grid type visual kind", () => {
     ["UUID", "identifier"],
     ["BYTEA", "binary"],
     ["SDO_GEOMETRY", "spatial"],
+    ["keyword", "string"],
+    ["unsigned_long", "integer"],
+    ["scaled_float", "numeric"],
+    ["date_nanos", "temporal"],
+    ["nested", "structured"],
     ["inet", "unknown"],
   ])("maps %s to %s", (dataType, expected) => {
     expect(resolveDataGridTypeVisualKind(dataType)).toBe(expected);
@@ -40,6 +45,10 @@ describe("data grid type visual kind", () => {
     ["rowversion", "sqlserver", "binary"],
     ["bit(8)", "postgres", "binary"],
     ["bit varying(8)", "postgres", "binary"],
+    ["long", "elasticsearch", "integer"],
+    ["long", "easysearch", "integer"],
+    ["byte", "elasticsearch", "integer"],
+    ["short", "elasticsearch", "integer"],
   ] as const)("maps %s for %s to %s", (dataType, databaseType, expected) => {
     expect(resolveDataGridTypeVisualKind(dataType, databaseType)).toBe(expected);
   });
@@ -49,6 +58,10 @@ describe("data grid type visual kind", () => {
     expect(resolveDataGridTypeVisualKind("timestamp", "postgres")).toBe("temporal");
     expect(resolveDataGridTypeVisualKind("bit")).toBe("boolean");
     expect(resolveDataGridTypeVisualKind("bit", "sqlserver")).toBe("boolean");
+    expect(resolveDataGridTypeVisualKind("long")).toBe("string");
+    expect(resolveDataGridTypeVisualKind("long", "oracle")).toBe("string");
+    expect(resolveDataGridTypeVisualKind("byte")).toBe("unknown");
+    expect(resolveDataGridTypeVisualKind("short")).toBe("unknown");
   });
 });
 

apps/desktop/src/lib/dataGrid/dataGridColumnType.ts

@@ -1,4 +1,4 @@
-import type { DatabaseType } from "@/types/database";
+import { isElasticsearchCompatibleDatabaseType, type DatabaseType } from "@/types/database";
 
 /**
  * Resolve the data type to display in a data-grid column header.
@@ -148,6 +148,9 @@ const NUMERIC_COLUMN_TYPE_BASES = new Set([
   "smallmoneyn",
   "binary_float",
   "binary_double",
+  // Elasticsearch numeric mapping types.
+  "half_float",
+  "scaled_float",
 ]);
 
 export function isNumericColumnType(dataType: string | undefined): boolean {
@@ -194,8 +197,16 @@ const INTEGER_COLUMN_TYPE_BASES = new Set([
   "uint128",
   "uint256",
   "year",
+  // Elasticsearch integer mapping types with unambiguous names.
+  "unsigned_long",
+  "token_count",
 ]);
 
+// Elasticsearch integer mapping types whose names collide with other
+// databases' non-integer types (Oracle LONG is a legacy text type, Informix
+// BYTE is binary), so they only apply to Elasticsearch-compatible databases.
+const ELASTICSEARCH_ONLY_INTEGER_COLUMN_TYPE_BASES = new Set(["byte", "short", "long"]);
+
 const STRING_COLUMN_TYPE_BASES = new Set([
   "varchar",
   "varchar2",
@@ -221,11 +232,20 @@ const STRING_COLUMN_TYPE_BASES = new Set([
   "character varying",
   "national character",
   "national character varying",
+  // Elasticsearch text-like mapping types.
+  "keyword",
+  "constant_keyword",
+  "wildcard",
+  "match_only_text",
+  "search_as_you_type",
+  "completion",
+  "ip",
+  "version",
 ]);
 
 const BOOLEAN_COLUMN_TYPE_BASES = new Set(["bool", "boolean", "bit"]);
-const TEMPORAL_COLUMN_TYPE_BASES = new Set(["date", "date32", "daten", "time", "time64", "timen", "timetz", "datetime", "datetime2", "datetime4", "datetime64", "datetimen", "datetimeoffset", "datetimeoffsetn", "smalldatetime", "timestamp", "timestampdty", "timestamptz", "interval"]);
-const STRUCTURED_COLUMN_TYPE_BASES = new Set(["json", "jsonb", "jsonpath", "xml", "xmltype", "array", "map", "tuple", "struct", "row", "object", "document", "variant"]);
+const TEMPORAL_COLUMN_TYPE_BASES = new Set(["date", "date_nanos", "date32", "daten", "time", "time64", "timen", "timetz", "datetime", "datetime2", "datetime4", "datetime64", "datetimen", "datetimeoffset", "datetimeoffsetn", "smalldatetime", "timestamp", "timestampdty", "timestamptz", "interval"]);
+const STRUCTURED_COLUMN_TYPE_BASES = new Set(["json", "jsonb", "jsonpath", "xml", "xmltype", "array", "map", "tuple", "struct", "row", "object", "nested", "flattened", "document", "variant"]);
 const IDENTIFIER_COLUMN_TYPE_BASES = new Set(["uuid", "uniqueidentifier", "rowid", "urowid"]);
 const BINARY_COLUMN_TYPE_BASES = new Set(["bytea", "blob", "tinyblob", "mediumblob", "longblob", "binary", "varbinary", "image", "raw", "long raw", "bfile"]);
 const SPATIAL_COLUMN_TYPE_BASES = new Set(["geometry", "geography", "sdo_geometry", "point", "linestring", "polygon", "multipoint", "multilinestring", "multipolygon", "geometrycollection"]);
@@ -280,6 +300,7 @@ export function resolveDataGridTypeVisualKind(dataType: string | undefined, data
   if (array) return "structured";
   if (databaseType === "sqlserver" && (base === "timestamp" || base === "rowversion")) return "binary";
   if (databaseType === "postgres" && (base === "bit" || base === "bit varying")) return "binary";
+  if (isElasticsearchCompatibleDatabaseType(databaseType) && ELASTICSEARCH_ONLY_INTEGER_COLUMN_TYPE_BASES.has(base)) return "integer";
   if (INTEGER_COLUMN_TYPE_BASES.has(base)) return "integer";
   if (isNumericColumnType(dataType)) return "numeric";
   if (BOOLEAN_COLUMN_TYPE_BASES.has(base)) return "boolean";