[codex] Fix Postgres text array cell edits

.changeset/fix-postgres-text-array-edits.md

@@ -0,0 +1,5 @@
+---
+"@prisma/studio-core": patch
+---
+
+Fix PostgreSQL text array cell edits when queries are compiled with inline values.

FEATURES.md

@@ -264,6 +264,7 @@ Exports can copy directly to the clipboard or save to disk, include column heade
 
 Editable cells open popover editors with datatype-specific controls for raw text, numeric, boolean, enum, JSON/array, date, and time values.
 Save/cancel keyboard behavior is standardized, and null/default/empty semantics are handled explicitly per input type.
+Native PostgreSQL arrays can be edited from JSON-style array values and are written back with explicit array casts when inline SQL literals are required.
 PostgreSQL user-defined enum arrays also persist through that same staged-edit flow, with schema-qualified casts emitted in a form PostgreSQL accepts for `enum[]` writes.
 
 ## Staged Multi-Cell Editing

data/postgres-core/dml.test.ts

@@ -1232,6 +1232,38 @@ describe("postgres-core/dml", () => {
       ]);
     });
 
+    it("supports PostgreSQL text array updates when parameters are inlined", async () => {
+      const table = createSearchTypesTable();
+      const query = getUpdateQuery(
+        {
+          changes: { arr_col: ["tag1", "tag2", "tag3"] },
+          row: { id: "row_tr" },
+          table,
+        },
+        { noParameters: true },
+      );
+
+      expect(query).toMatchInlineSnapshot(`
+        {
+          "parameters": [],
+          "sql": "update "public"."search_types" set "arr_col" = cast(array['tag1', 'tag2', 'tag3'] as text[]) where "id" = 'row_tr' returning "id", "str_col", "dt_col", "bool_col", "enum_col", "time_col", "raw_col", "num_col", "json_col", "arr_col", cast(floor(extract(epoch from now()) * 1000) as text) as "__ps_updated_at__"",
+          "transformations": undefined,
+        }
+      `);
+
+      const [error] = await executor.execute(query);
+
+      expect(error).toBeNull();
+
+      const persisted = await pglite.query<{ arr_col: string }>(`
+        select "arr_col"::text as "arr_col"
+        from "public"."search_types"
+        where "id" = 'row_tr'
+      `);
+
+      expect(persisted.rows).toEqual([{ arr_col: "{tag1,tag2,tag3}" }]);
+    });
+
     it("casts PostgreSQL enum arrays with the array suffix outside the quoted user-defined type name", async () => {
       const table = createEnumArrayUsersTable();
       const query = getUpdateQuery({

data/postgres-core/dml.ts

@@ -52,6 +52,7 @@ export function getInsertQuery(
         applyTransformations({
           columns,
           context: "insert",
+          noParameters: requirements?.noParameters,
           supportsDefaultKeyword: true,
           values: rows,
         }),
@@ -285,6 +286,7 @@ export function getUpdateQuery(
         applyTransformations({
           columns,
           context: "update",
+          noParameters: requirements?.noParameters,
           supportsDefaultKeyword: true,
           values: changes,
         }),

data/query.ts

@@ -278,6 +278,7 @@ function tupleFrom(items: unknown[]): Expression<any> {
 export interface ApplyWriteTransformationsProps<C extends "insert" | "update"> {
   columns: Table["columns"];
   context: C;
+  noParameters?: boolean;
   values: C extends "update"
     ? Record<string, unknown>
     : Record<string, unknown> | Record<string, unknown>[];
@@ -300,6 +301,7 @@ export function applyTransformations<C extends "insert" | "update">(
 interface TransformValuesProps {
   columns: Table["columns"];
   context: "insert" | "update";
+  noParameters?: boolean;
   supportsDefaultKeyword: boolean;
   values: Record<string, unknown>;
 }
@@ -331,7 +333,10 @@ function transformValues(
   return valueEntries.reduce(
     (obj, [key, value]) => ({
       ...obj,
-      [key]: transformValue(value, columns[key]!, supportsDefaultKeyword),
+      [key]: transformValue(value, columns[key]!, {
+        inlineArrayValues: props.noParameters === true,
+        supportsDefaultKeyword,
+      }),
     }),
     requiredColumns.reduce((defaults, column) => {
       const { datatype, fkColumn, name } = column;
@@ -371,9 +376,13 @@ function transformValues(
 function transformValue(
   value: unknown,
   column: Column,
-  supportsDefaultKeyword = true,
+  options: {
+    inlineArrayValues?: boolean;
+    supportsDefaultKeyword?: boolean;
+  } = {},
 ): Expression<any> {
   const { datatype, defaultValue, nullable } = column;
+  const { inlineArrayValues = false, supportsDefaultKeyword = true } = options;
 
   const eb = expressionBuilder();
 
@@ -385,13 +394,37 @@ function transformValue(
     return supportsDefaultKeyword ? sql`default` : eb.lit(null);
   }
 
+  if (inlineArrayValues && datatype.isArray && Array.isArray(value)) {
+    return eb.cast(
+      getArrayValueExpression(value),
+      getArrayTypeCastTarget(datatype),
+    );
+  }
+
   if (!datatype.isNative) {
     return eb.cast(eb.val(value), getUserDefinedTypeCastTarget(datatype));
   }
 
   return eb.val(value);
 }
 
+function getArrayValueExpression(value: unknown[]): Expression<any> {
+  return sql`array[${sql.join(
+    value.map((item) =>
+      Array.isArray(item) ? getArrayValueExpression(item) : sql`${item}`,
+    ),
+    sql`, `,
+  )}]`;
+}
+
+function getArrayTypeCastTarget(datatype: DataType): Expression<any> {
+  if (!datatype.isNative) {
+    return getUserDefinedTypeCastTarget(datatype);
+  }
+
+  return sql.raw(datatype.name);
+}
+
 function getUserDefinedTypeCastTarget(datatype: DataType): Expression<any> {
   const { isArray, name, schema } = datatype;