
Using Ui Bundle Salesforce Data
- 1.5k installs
- 763 repo stars
- Updated July 24, 2026
- forcedotcom/afv-library
This is a copy of using-ui-bundle-salesforce-data by forcedotcom - installs and ranking accrue to the original listing.
using-ui-bundle-salesforce-data is a Salesforce integration skill that retrieves GraphQL type definitions, filter inputs, sort options, and mutation shapes from schema.graphql for developers building UI bundle apps again
About
using-ui-bundle-salesforce-data is a skill from forcedotcom/afv-library centered on graphql-search.sh, a bash script run from an SFDX project root where schema.graphql lives. Pass one or more entity names—Account, Contact, Opportunity—or a custom schema path with -s/--schema to print per-entity sections: type definitions with fields and relationships, filter options, sort options, and mutation shapes. Developers reach for using-ui-bundle-salesforce-data when scaffolding GraphQL queries or mutations for Salesforce UI bundle React apps without manually paging through a large schema file. The script uses strict bash flags (-euo pipefail) and supports multi-entity lookups in one invocation.
- Extracts complete type definitions with all fields and relationships
- Generates Filter options for where: clauses
- Generates Sort options for orderBy: clauses
- Produces Create and Update mutation input wrappers and representation types
- Supports multiple entities in one command and custom schema paths
Using Ui Bundle Salesforce Data by the numbers
- 1,496 all-time installs (skills.sh)
- +1 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| Installs | 1.5k |
|---|---|
| repo stars | ★ 763 |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 24, 2026 |
| Repository | forcedotcom/afv-library ↗ |
How do you look up Salesforce GraphQL types from schema.graphql?
Instantly retrieve Salesforce GraphQL type definitions, filter inputs, sort options, and mutation shapes directly from their schema.graphql file.
Who is it for?
Salesforce developers building UI bundle React apps who need fast schema.graphql lookups for GraphQL queries and mutations.
Skip if: Teams not using Salesforce UI bundles or SFDX projects without a local schema.graphql file.
When should I use this skill?
A project has schema.graphql and the developer needs entity types, filters, sorts, or mutations for Salesforce GraphQL.
What you get
Printed GraphQL type definitions, filter inputs, sort options, and mutation shapes per Salesforce entity.
- entity GraphQL type output
- filter and mutation reference
By the numbers
- Outputs 4 schema sections per entity: types, filters, sorts, mutations
Files
Salesforce Data Access
Data SDK Requirement
All Salesforce data access MUST use the Data SDK (@salesforce/sdk-data). The SDK handles authentication, CSRF, and base URL resolution.import { createDataSDK, gql } from "@salesforce/sdk-data";
import type { ResponseTypeQuery } from "../graphql-operations-types";
const sdk = await createDataSDK();
// GraphQL for record queries/mutations (PREFERRED)
const response = await sdk.graphql?.<ResponseTypeQuery>(query, variables);
// REST for Connect REST, Apex REST, UI API (when GraphQL insufficient)
const res = await sdk.fetch?.("/services/apexrest/my-resource");Always use optional chaining (sdk.graphql?.(), sdk.fetch?.()) — these methods may be undefined in some surfaces.
Preconditions — verify before starting
| # | Requirement | How to verify | If missing |
|---|---|---|---|
| 1 | @salesforce/sdk-data installed | Check package.json in the UI bundle dir | Cannot proceed — tell user to install it |
| 2 | schema.graphql at project root | Check if file exists | Run npm run graphql:schema from UI bundle dir |
| 3 | Custom objects/fields deployed | Run graphql-search.sh <Entity> — no output means not deployed | Ask user to deploy metadata and assign permission sets |
If preconditions are not met, you may scaffold components, routes, layout, and UI logic, but use empty arrays / null for data and mark query locations with // TODO: add query after schema verification and include in the plan to go back, resolve requirements and write the GraphQL. Do not write GraphQL query strings until the schema workflow is complete.
Supported APIs
Only the following APIs are permitted. Any endpoint not listed here must not be used.
| API | Method | Endpoints / Use Case |
|---|---|---|
| GraphQL | sdk.graphql | All record queries and mutations via uiapi { } namespace |
| UI API REST | sdk.fetch | /services/data/v{ver}/ui-api/records/{id} — record metadata when GraphQL is insufficient |
| Apex REST | sdk.fetch | /services/apexrest/{resource} — custom server-side logic, aggregates, multi-step transactions |
| Connect REST | sdk.fetch | /services/data/v{ver}/connect/file/upload/config — file upload config |
| Einstein LLM | sdk.fetch | /services/data/v{ver}/einstein/llm/prompt/generations — AI text generation |
Not supported:
- Enterprise REST query endpoint (
/services/data/v*/querywith SOQL) — blocked at the proxy level. Use GraphQL for record reads; use Apex REST if server-side SOQL aggregates are required. - Aura-enabled Apex (
@AuraEnabled) — an LWC/Aura pattern with no invocation path from React UI bundles. - Chatter API (
/chatter/users/me) — useuiapi { currentUser { ... } }in a GraphQL query instead. - Any other Salesforce REST endpoint not listed in the supported table above.
Decision: GraphQL vs REST
| Need | Method | Example |
|---|---|---|
| Query/mutate records | sdk.graphql | Account, Contact, custom objects |
| Current user info | sdk.graphql | uiapi { currentUser { Id Name { value } } } |
| UI API record metadata | sdk.fetch | /ui-api/records/{id} |
| Connect REST | sdk.fetch | /connect/file/upload/config |
| Apex REST | sdk.fetch | /services/apexrest/auth/login |
| Einstein LLM | sdk.fetch | /einstein/llm/prompt/generations |
GraphQL is preferred for record operations. Use REST only when GraphQL doesn't cover the use case.
---
GraphQL Non-Negotiable Rules
These rules exist because Salesforce GraphQL has platform-specific behaviors that differ from standard GraphQL. Violations cause silent runtime failures.
1. HTTP 200 does not mean success — Salesforce returns HTTP 200 even when operations fail. Always parse the `errors` array in the response body.
2. Schema is the single source of truth — Every entity name, field name, and type must be confirmed via the schema search script before use in a query. Never guess — Salesforce field names are case-sensitive, relationships may be polymorphic, and custom objects use suffixes (__c, __e). Objects added to UI API in v60+ may use a _Record suffix (e.g., FeedItem_Record instead of FeedItem).
3. `@optional` on all record fields (read queries) — Salesforce field-level security (FLS) causes queries to fail entirely if the user lacks access to even one field. The @optional directive (v65+) tells the server to omit inaccessible fields instead of failing. Apply it to every scalar field, parent relationship, and child relationship. Consuming code must use optional chaining (?.) and nullish coalescing (??).
4. Correct mutation syntax — Mutations wrap under uiapi(input: { allOrNone: true/false }), not bare uiapi { ... }. Always set allOrNone explicitly. Output fields cannot include child relationships or navigated reference fields.
5. Explicit pagination — Always include first: in every query. If omitted, the server silently defaults to 10 records. Include pageInfo { hasNextPage endCursor } for any query that may need pagination. Forward-only (first/after) — last/before are unsupported.
6. SOQL-derived execution limits — Max 10 subqueries per request, max 5 levels of child-to-parent traversal, max 1 level of parent-to-child (no grandchildren), max 2,000 records per subquery. If a query would exceed these, split into multiple requests.
7. Only requested fields — Only generate fields the user explicitly asked for. Do NOT add extra fields.
8. Compound fields — When filtering or ordering, use constituent fields (e.g., BillingCity, BillingCountry), not the compound wrapper (BillingAddress). The compound wrapper is only for selection.
---
GraphQL Workflow
| Step | Action | Key output |
|---|---|---|
| 1 | Acquire schema | schema.graphql exists |
| 2 | Look up entities | Field names, types, relationships confirmed |
| 3 | Generate query | .graphql file or inline gql tag |
| 4 | Generate types | graphql-operations-types.ts |
| 5 | Validate | Lint + codegen pass |
Step 1: Acquire Schema
The schema.graphql file (265K+ lines) is the source of truth. Never open or parse it directly — no cat, less, head, tail, editors, or programmatic parsers.
Verify preconditions 1–3 (see Preconditions), then proceed to Step 2.
Step 2: Look Up Entity Schema
Map user intent to PascalCase names ("accounts" → Account), then run the search script from the `sfdx-project` folder (project root):
bash scripts/graphql-search.sh Account
# Multiple entities:
bash scripts/graphql-search.sh Account Contact OpportunityThe script outputs seven sections per entity: 1. Type definition — all queryable fields and relationships 2. Filter options — available fields for where: conditions 3. Sort options — available fields for orderBy: 4. Create mutation wrapper — <Entity>CreateInput 5. Create mutation fields — <Entity>CreateRepresentation (fields accepted by create mutations) 6. Update mutation wrapper — <Entity>UpdateInput 7. Update mutation fields — <Entity>UpdateRepresentation (fields accepted by update mutations)
Maximum 2 script runs. If the entity still can't be found, ask the user — the object may not be deployed.
Entity Identification
If a candidate does not match:
- Try
__csuffix for custom objects,__efor platform events - Try
_Recordsuffix — objects added in v60+ may use<EntityName>_Record - If still unresolved, ask the user — do not guess
Iterative Introspection (max 3 cycles)
1. Introspect — Run the script for each unresolved entity 2. Fields — Extract requested field names and types from the type definition 3. References — Identify reference fields. If polymorphic (multiple types), use inline fragments. Add newly discovered entity types to the working list. 4. Child relationships — Identify Connection types. Add child entity types to the working list. 5. Repeat if unresolved entities remain (max 3 cycles)
Hard stops: If no data returned for an entity, stop — it may not be deployed. If unknown entities remain after 3 cycles, ask the user. Do not generate queries with unconfirmed entities or fields.
Step 3: Generate Query
Every field name must be verified from the script output in Step 2.
Read Query Template
query QueryName($after: String) {
uiapi {
query {
EntityName(
first: 10
after: $after
where: { ... }
orderBy: { ... }
) {
edges {
node {
Id
FieldName @optional { value }
# Parent relationship (non-polymorphic)
Owner @optional { Name { value } }
# Parent relationship (polymorphic — use fragments)
What @optional {
...WhatAccount
...WhatOpportunity
}
# Child relationship — max 1 level, no grandchildren
Contacts @optional(first: 10) {
edges { node { Name @optional { value } } }
}
}
}
pageInfo { hasNextPage endCursor }
}
}
}
}
fragment WhatAccount on Account {
Id
Name @optional { value }
}
fragment WhatOpportunity on Opportunity {
Id
Name @optional { value }
}Consuming code must defend against missing fields:
const name = node.Name?.value ?? "";
const relatedName = node.Owner?.Name?.value ?? "N/A";Filtering
# Implicit AND
Account(where: { Industry: { eq: "Technology" }, AnnualRevenue: { gt: 1000000 } })
# Explicit OR
Account(where: { OR: [{ Industry: { eq: "Technology" } }, { Industry: { eq: "Finance" } }] })
# NOT
Account(where: { NOT: { Industry: { eq: "Technology" } } })
# Date literal
Opportunity(where: { CloseDate: { eq: { value: "2024-12-31" } } })
# Relative date
Opportunity(where: { CloseDate: { gte: { literal: TODAY } } })
# Relationship filter (nested objects, NOT dot notation)
Contact(where: { Account: { Name: { like: "Acme%" } } })
# Polymorphic relationship filter
Account(where: { Owner: { User: { Username: { like: "admin%" } } } })String equality (eq) is case-insensitive. Both 15-char and 18-char record IDs are accepted.
Ordering
Account(
first: 10,
orderBy: { Name: { order: ASC }, CreatedDate: { order: DESC } }
) { ... }Unsupported for ordering: multi-select picklist, rich text, long text area, encrypted fields. Add Id as tie-breaker for deterministic ordering.
UpperBound Pagination (v59+)
For >200 records per page or >4,000 total records, use upperBound. first must be 200–2000 when set.
Account(first: 2000, after: $cursor, upperBound: 10000) {
edges { node { Id Name @optional { value } } }
pageInfo { hasNextPage endCursor }
}Semi-Join and Anti-Join
Filter a parent entity by conditions on child entities using inq (semi-join) or ninq (anti-join) on the parent's Id. If the only condition is child existence, use Id: { ne: null }.
query SemiJoinExample {
uiapi {
query {
Account(where: {
Id: {
inq: {
Contact: { LastName: { like: "Smith%" } }
ApiName: "AccountId"
}
}
}, first: 10) {
edges { node { Id Name @optional { value } } }
}
}
}
}Replace inq with ninq for anti-join. Restrictions: no OR in subquery, no orderBy in subquery, no nesting joins within each other.
Current User
Use uiapi.currentUser (no arguments) instead of the standard query pattern:
query CurrentUser {
uiapi { currentUser { Id Name { value } } }
}Field Value Wrappers
Schema fields use typed wrappers — access via .value:
| Wrapper Type | Underlying | Wrapper Type | Underlying |
|---|---|---|---|
StringValue | String | BooleanValue | Boolean |
IntValue | Int | DoubleValue | Double |
CurrencyValue | Currency | PercentValue | Percent |
DateTimeValue | DateTime | DateValue | Date |
PicklistValue | Picklist | LongValue | Long |
IDValue | ID | TextAreaValue | TextArea |
EmailValue | Email | PhoneNumberValue | PhoneNumber |
UrlValue | Url |
All wrappers also expose displayValue: String (server-rendered via toLabel()/format()) — use for UI display instead of formatting client-side.
Mutation Template
Mutations are GA in API v66+. Three operations: Create, Update, Delete.
# Create
mutation CreateAccount($input: AccountCreateInput!) {
uiapi(input: { allOrNone: true }) {
AccountCreate(input: $input) {
Record { Id Name { value } }
}
}
}
# Update — must include Id
mutation UpdateAccount {
uiapi(input: { allOrNone: true }) {
AccountUpdate(input: { Id: "001xx000003GYkZAAW", Account: { Name: "New Name" } }) {
Record { Id Name { value } }
}
}
}Input constraints:
- Create: Required fields (unless
defaultedOnCreate), onlycreateablefields, no child relationships. Reference fields set byApiName(e.g.,AccountId). - Update: Must include
Id, onlyupdateablefields, no child relationships. - Delete:
Idonly. - `IdOrRef` type: The
Idfield in Update and Delete inputs uses theIdOrReftype, which accepts either a literal record ID (e.g.,"001xx...") or a mutation chaining reference ("@{Alias}"). Reference fields in Create inputs (e.g.,AccountId) also accept@{Alias}for chaining. - Raw values: No commas, currency symbols, or locale formatting (e.g.,
80000not"$80,000").
Output constraints:
- Create/Update: Exclude child relationships, exclude navigated reference fields (only
ApiNamemember allowed). Output field is always namedRecord. - Delete:
Idonly.
`allOrNone` semantics:
true(default) — All operations succeed or all roll back.false— Independent operations succeed individually, but dependent operations (using@{alias}) still roll back together.
Mutation Chaining
Chain related mutations using @{alias} references to Id from earlier mutations. Required for parent-child creation (nested child creates are not supported).
mutation CreateAccountAndContact {
uiapi(input: { allOrNone: true }) {
AccountCreate(input: { Account: { Name: "Acme" } }) {
Record { Id }
}
ContactCreate(input: { Contact: { LastName: "Smith", AccountId: "@{AccountCreate}" } }) {
Record { Id }
}
}
}Rules: A must come before B in the query. @{A} is always the Id from mutation A. Only Create or Delete can be chained from (not Update).
Delete Mutation
Delete uses generic RecordDeleteInput (not entity-specific). Output is Id only — no Record field.
mutation DeleteAccount($id: ID!) {
uiapi(input: { allOrNone: true }) {
AccountDelete(input: { Id: $id }) {
Id
}
}
}Object Metadata & Picklist Values
Use uiapi { objectInfos(...) } to fetch field metadata or picklist values. Pass either apiNames or objectInfoInputs — never both.
// Object metadata
const GET_OBJECT_INFO = gql`
query GetObjectInfo($apiNames: [String!]!) {
uiapi {
objectInfos(apiNames: $apiNames) {
ApiName
label
labelPlural
fields { ApiName label dataType updateable createable }
}
}
}
`;
// Picklist values (use objectInfoInputs + inline fragment)
const GET_PICKLIST_VALUES = gql`
query GetPicklistValues($objectInfoInputs: [ObjectInfoInput!]!) {
uiapi {
objectInfos(objectInfoInputs: $objectInfoInputs) {
ApiName
fields {
ApiName
... on PicklistField {
picklistValuesByRecordTypeIDs {
recordTypeID
picklistValues { label value }
}
}
}
}
}
}
`;Step 4: Generate Types (codegen)
After writing the query (whether in a .graphql file or inline with gql), generate TypeScript types:
# Run from UI bundle dir
npm run graphql:codegenOutput: src/api/graphql-operations-types.ts
Generated type naming conventions:
<OperationName>Query/<OperationName>Mutation— response types<OperationName>QueryVariables/<OperationName>MutationVariables— variable types
Always import and use the generated types when calling sdk.graphql:
import type { GetAccountsQuery, GetAccountsQueryVariables } from "../graphql-operations-types";
const response = await sdk.graphql?.<GetAccountsQuery, GetAccountsQueryVariables>(GET_ACCOUNTS, variables);Use NodeOfConnection<T> to extract the node type from a Connection for cleaner typing:
import { type NodeOfConnection } from "@salesforce/sdk-data";
type AccountNode = NodeOfConnection<GetAccountsQuery["uiapi"]["query"]["Account"]>;Step 5: Validate & Test
1. Lint: npx eslint <file> from UI bundle dir 2. codegen: npm run graphql:codegen from UI bundle dir
Common Error patterns
| Error Contains | Resolution |
|---|---|
Cannot query field / ValidationError | Field name wrong — re-run graphql-search.sh <Entity> |
Unknown type | Type name wrong — verify PascalCase entity name via script |
Unknown argument | Argument wrong — check Filter/OrderBy sections in script output |
invalid syntax / InvalidSyntax | Fix syntax per error message |
VariableTypeMismatch / UnknownType | Correct argument type from schema |
invalid cross reference id | Entity deleted — ask for valid Id |
OperationNotSupported | Check object availability and API version |
is not currently available in mutation results | Remove field from mutation output |
Cannot invoke JsonElement.isJsonObject() | Use API version 64+ for update mutation Record selection |
On PARTIAL If a mutation returns both data and errors (partial success): Report inaccessible fields, explain they cannot be in mutation output, offer to remove them. Wait for user consent before changing.
---
UI Bundle Integration (React)
Two integration patterns:
Pattern 1 — External .graphql file (complex queries)
One operation per `.graphql` file. Each file contains exactly one query or mutation (plus its fragments). Do not combine multiple operations in a single file.
import { createDataSDK, type NodeOfConnection } from "@salesforce/sdk-data";
import MY_QUERY from "./query/myQuery.graphql?raw"; // ?raw suffix required
import type { GetMyDataQuery, GetMyDataQueryVariables } from "../graphql-operations-types";
const sdk = await createDataSDK();
const response = await sdk.graphql?.<GetMyDataQuery, GetMyDataQueryVariables>(MY_QUERY, variables);After creating/changing .graphql files, run npm run graphql:codegen to generate types into src/api/graphql-operations-types.ts.
Pattern 2 — Inline gql tag (simple queries)
Must use `gql` — plain template strings bypass ESLint schema validation.
import { createDataSDK, gql } from "@salesforce/sdk-data";
import type { GetAccountsQuery } from "../graphql-operations-types";
const GET_ACCOUNTS = gql`
query GetAccounts {
uiapi {
query {
Account(first: 10) {
edges { node { Id Name @optional { value } } }
}
}
}
}
`;
const sdk = await createDataSDK();
const response = await sdk.graphql?.<GetAccountsQuery>(GET_ACCOUNTS);Error Handling
// Strict (default) — any errors = failure
if (response?.errors?.length) {
throw new Error(response.errors.map(e => e.message).join("; "));
}
// Tolerant — log errors, use available data
if (response?.errors?.length) {
console.warn("GraphQL partial errors:", response.errors);
}
// Discriminated — fail only when no data returned
if (!response?.data && response?.errors?.length) {
throw new Error(response.errors.map(e => e.message).join("; "));
}
const accounts = response?.data?.uiapi?.query?.Account?.edges?.map(e => e.node) ?? [];---
REST API Patterns
Use sdk.fetch when GraphQL is insufficient. See the Supported APIs table for the full allowlist.
declare const __SF_API_VERSION__: string;
const API_VERSION = typeof __SF_API_VERSION__ !== "undefined" ? __SF_API_VERSION__ : "65.0";
// Connect — file upload config
const res = await sdk.fetch?.(`/services/data/v${API_VERSION}/connect/file/upload/config`);
// Apex REST (no version in path)
const res = await sdk.fetch?.("/services/apexrest/auth/login", {
method: "POST",
body: JSON.stringify({ email, password }),
headers: { "Content-Type": "application/json" },
});
// UI API — record with metadata (prefer GraphQL for simple reads)
const res = await sdk.fetch?.(`/services/data/v${API_VERSION}/ui-api/records/${recordId}`);
// Einstein LLM
const res = await sdk.fetch?.(`/services/data/v${API_VERSION}/einstein/llm/prompt/generations`, {
method: "POST",
body: JSON.stringify({ promptTextorId: prompt }),
});Current user: Do not use Chatter (/chatter/users/me). Use GraphQL instead:
const GET_CURRENT_USER = gql`
query CurrentUser {
uiapi { currentUser { Id Name { value } } }
}
`;
const response = await sdk.graphql?.(GET_CURRENT_USER);---
Directory Structure
<project-root>/ ← SFDX project root
├── schema.graphql ← grep target (lives here)
├── sfdx-project.json
├── scripts/graphql-search.sh ← schema lookup script
└── force-app/main/default/uiBundles/<app-name>/ ← UI bundle dir
├── package.json ← npm scripts
└── src/| Command | Run From | Why |
|---|---|---|
npm run graphql:schema | UI bundle dir | Script in UI bundle's package.json |
npm run graphql:codegen | UI bundle dir | Generate GraphQL types |
npx eslint <file> | UI bundle dir | Reads eslint.config.js |
bash scripts/graphql-search.sh <Entity> | project root | Schema lookup |
---
Quick Reference
Schema Lookup (from project root)
Run the search script to get all relevant schema info in one step:
bash scripts/graphql-search.sh <EntityName>| Script Output Section | Used For |
|---|---|
| Type definition | Field names, parent/child relationships |
| Filter options | where: conditions |
| Sort options | orderBy: |
| CreateRepresentation | Create mutation field list |
| UpdateRepresentation | Update mutation field list |
Error Categories
| Error Contains | Resolution |
|---|---|
Cannot query field | Field name is wrong — run graphql-search.sh <Entity> and use the exact name from the Type definition section |
Unknown type | Type name is wrong — run graphql-search.sh <Entity> to confirm the correct PascalCase entity name |
Unknown argument | Argument name is wrong — run graphql-search.sh <Entity> and check Filter or OrderBy sections |
invalid syntax | Fix syntax per error message |
validation error | Field name is wrong — run graphql-search.sh <Entity> to verify |
VariableTypeMismatch | Correct argument type from schema |
invalid cross reference id | Entity deleted — ask for valid Id |
Checklist
- [ ] All field names verified via search script (Step 2)
- [ ]
@optionalapplied to all record fields (reads) - [ ] Mutations use
uiapi(input: { allOrNone: ... })wrapper - [ ]
first:specified in every query - [ ] Optional chaining in consuming code
- [ ]
errorsarray checked in response handling - [ ] Lint passes:
npx eslint <file>
#!/usr/bin/env bash
set -euo pipefail # exit on error (-e), undefined vars (-u), and propagate pipeline failures (-o pipefail)
# graphql-search.sh — Look up one or more Salesforce entities in schema.graphql.
#
# Run from the SFDX project root (where schema.graphql lives):
# bash scripts/graphql-search.sh Account
# bash scripts/graphql-search.sh Account Contact Opportunity
#
# Pass a custom schema path with -s / --schema:
# bash scripts/graphql-search.sh -s /path/to/schema.graphql Account
# bash scripts/graphql-search.sh --schema ./other/schema.graphql Account Contact
#
# Output sections per entity:
# 1. Type definition — all fields and relationships
# 2. Filter options — <Entity>_Filter input (for `where:`)
# 3. Sort options — <Entity>_OrderBy input (for `orderBy:`)
# 4. Create mutation wrapper — <Entity>CreateInput
# 5. Create mutation fields — <Entity>CreateRepresentation (for create mutations)
# 6. Update mutation wrapper — <Entity>UpdateInput
# 7. Update mutation fields — <Entity>UpdateRepresentation (for update mutations)
SCHEMA="./schema.graphql"
# ── Argument parsing ─────────────────────────────────────────────────────────
while [[ $# -gt 0 ]]; do
case "$1" in
-s|--schema)
if [[ -z "${2-}" || "$2" == -* ]]; then
echo "ERROR: --schema requires a file path argument"
exit 1
fi
SCHEMA="$2"
shift 2
;;
--)
shift
break
;;
-*)
echo "ERROR: Unknown option: $1"
echo "Usage: bash $0 [-s <schema-path>] <EntityName> [EntityName2 ...]"
exit 1
;;
*)
break
;;
esac
done
if [ $# -eq 0 ]; then
echo "Usage: bash $0 [-s <schema-path>] <EntityName> [EntityName2 ...]"
echo "Example: bash $0 Account"
echo "Example: bash $0 Account Contact Opportunity"
echo "Example: bash $0 --schema /path/to/schema.graphql Account"
exit 1
fi
if [ ! -f "$SCHEMA" ]; then
echo "ERROR: schema.graphql not found at $SCHEMA"
echo " Make sure you are running from the SFDX project root, or pass the path explicitly:"
echo " bash $0 --schema <path/to/schema.graphql> <EntityName>"
echo " If the file is missing entirely, generate it from the UI bundle dir:"
echo " cd force-app/main/default/uiBundles/<app-name> && npm run graphql:schema"
exit 1
fi
if [ ! -r "$SCHEMA" ]; then
echo "ERROR: schema.graphql is not readable at $SCHEMA"
echo " Check file permissions: ls -la $SCHEMA"
exit 1
fi
if [ ! -s "$SCHEMA" ]; then
echo "ERROR: schema.graphql is empty at $SCHEMA"
echo " Regenerate it from the UI bundle dir:"
echo " cd force-app/main/default/uiBundles/<app-name> && npm run graphql:schema"
exit 1
fi
# ── Helper: extract lines from a grep match through the closing brace ────────
# Prints up to MAX_LINES lines after (and including) the first match of PATTERN.
# Uses a generous line count — blocks are always closed by a "}" line.
extract_block() {
local label="$1"
local pattern="$2"
local max_lines="$3"
local match
local grep_exit=0
match=$(grep -nE "$pattern" "$SCHEMA" | head -1) || grep_exit=$?
if [ "$grep_exit" -eq 2 ]; then
echo " ERROR: grep failed on pattern: $pattern" >&2
return 1
fi
if [ -z "$match" ]; then
echo " (not found: $pattern)"
return 3
fi
echo "### $label"
grep -E "$pattern" "$SCHEMA" -A "$max_lines" | \
awk '/^\}$/{print; exit} {print}' | \
head -n "$max_lines" || true
echo ""
}
# ── Main loop ────────────────────────────────────────────────────────────────
for ENTITY in "$@"; do
# Validate entity name: must be a valid PascalCase identifier (letters, digits, underscores)
if [[ ! "$ENTITY" =~ ^[A-Za-z_][A-Za-z0-9_]*$ ]]; then
echo "ERROR: Invalid entity name: '$ENTITY'"
echo " Entity names must start with a letter or underscore, followed by letters, digits, or underscores."
echo " Examples: Account, My_Custom_Object__c"
continue
fi
echo ""
echo "======================================================================"
echo " SCHEMA LOOKUP: $ENTITY"
echo "======================================================================"
echo ""
found=0
# Helper: call extract_block, track matches, surface errors
try_extract() {
local rc=0
extract_block "$@" || rc=$?
if [ "$rc" -eq 0 ]; then
found=$((found + 1))
elif [ "$rc" -eq 1 ]; then
echo " Aborting lookup for '$ENTITY' due to grep error" >&2
fi
# rc=3 is not-found — continue silently (already printed by extract_block)
}
# 1. Type definition — all fields and relationships
try_extract \
"Type definition — fields and relationships" \
"^type ${ENTITY} implements Record" \
200
# 2. Filter input — used in `where:` arguments
try_extract \
"Filter options — use in where: { ... }" \
"^input ${ENTITY}_Filter" \
100
# 3. OrderBy input — used in `orderBy:` arguments
try_extract \
"Sort options — use in orderBy: { ... }" \
"^input ${ENTITY}_OrderBy" \
60
# 4. Create mutation wrapper
try_extract \
"Create mutation wrapper — ${ENTITY}CreateInput" \
"^input ${ENTITY}CreateInput" \
10
# 5. Create mutation fields
try_extract \
"Create mutation fields — ${ENTITY}CreateRepresentation" \
"^input ${ENTITY}CreateRepresentation" \
100
# 6. Update mutation wrapper
try_extract \
"Update mutation wrapper — ${ENTITY}UpdateInput" \
"^input ${ENTITY}UpdateInput" \
10
# 7. Update mutation fields
try_extract \
"Update mutation fields — ${ENTITY}UpdateRepresentation" \
"^input ${ENTITY}UpdateRepresentation" \
100
if [ "$found" -eq 0 ]; then
echo "WARNING: No schema entries found for '$ENTITY'."
echo " - Names are PascalCase (e.g., 'Account' not 'account')"
echo " - Custom objects may need deployment first"
fi
echo ""
done
Related skills
How it compares
Use for local schema.graphql grep-style lookups in UI bundle projects; use GraphQL IDE introspection for live org exploration.
FAQ
Where do you run graphql-search.sh?
using-ui-bundle-salesforce-data runs graphql-search.sh from the SFDX project root where schema.graphql lives. Example: bash scripts/graphql-search.sh Account Contact passes entity names as arguments.
What does graphql-search.sh output per entity?
using-ui-bundle-salesforce-data prints four sections per Salesforce entity from schema.graphql: type definition with fields, filter options, sort options, and mutation shapes ready for UI bundle GraphQL calls.
Is Using Ui Bundle Salesforce Data safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.