☀️ This library allows parsing Salesforce SOQL queries using JavaScript or Typescript. Works in the browser and node. ☀️
SOQL Parser JS provides the following capabilities:
- Parse a SOQL query into a usable data structure.
- Turn a parsed data structure back into a well formed SOQL query with various format options.
- Check if a SOQL query is syntactically valid (note: some cases may be structurally valid but not allowed by Salesforce, e.x. invalid field name).
This library is written in Typescript and all type definitions are included with the library for your benefit if you choose to use Typescript or use VSCode's automatic type checking.
Want to try it out? Check out the demo.
Look through the unit tests for additional examples.
Parsing a SOQL query can be completed by calling parseQuery(soqlQueryString, options). A Query data structure will be returned;
import { parseQuery } from 'soql-parser-js';
// var soqlParserJs = require('soql-parser-js'); // node's require format - usage: soqlParserJs.parseQuery()
const soql = `
SELECT UserId, COUNT(Id)
FROM LoginHistory
WHERE LoginTime > 2010-09-20T22:16:30.000Z
AND LoginTime < 2010-09-21T22:16:30.000Z
GROUP BY UserId';
`;
const soqlQuery = parseQuery(soql);
console.log(JSON.stringify(soqlQuery, null, 2));Results
{
"fields": [
{
"type": "Field",
"field": "UserId"
},
{
"type": "FieldFunctionExpression",
"rawValue": "COUNT(Id)",
"fn": "COUNT",
"isAggregateFn": true,
"parameters": ["Id"]
}
],
"sObject": "LoginHistory",
"where": {
"left": {
"field": "LoginTime",
"operator": ">",
"value": "2010-09-20T22:16:30.000Z",
"literalType": "DATETIME"
},
"operator": "AND",
"right": {
"left": {
"field": "LoginTime",
"operator": "<",
"value": "2010-09-21T22:16:30.000Z",
"literalType": "DATETIME"
}
}
},
"groupBy": {
"field": "UserId"
}
}export interface SoqlQueryConfig {
continueIfErrors?: boolean; // default=false
logging: boolean; // default=false
}Composing a query will turn a Query object back to a SOQL query string. The exact same data structure returned from parseQuery() can be used,
but depending on your use-case, you may need to build your own data structure to compose a query.
These examples show building your own Query object with the minimum required fields.
📄 Note: Some operators may be converted to upper case (e.x. NOT, AND)
📄 Note: There are a number of fields populated on the Query object when parseQuery() is called that are not required to compose a query. Look at the examples below and the comments in the data model for more information.
The base query object is shaped like this:
export interface QueryBase {
fields: FieldType[];
sObjectAlias?: string;
where?: WhereClause;
limit?: number;
offset?: number;
groupBy?: GroupByClause;
having?: HavingClause;
orderBy?: OrderByClause | OrderByClause[];
withDataCategory?: WithDataCategoryClause;
for?: ForClause;
update?: UpdateClause;
}The easiest way to build the fields is to call the utility function getComposedField().
This is the query that will be composed programmatically
SELECT Id, Name, FORMAT(Amount) MyFormattedAmount,
(SELECT Quantity, ListPrice, PricebookEntry.UnitPrice, PricebookEntry.Name FROM OpportunityLineItems)
FROM Opportunity
WHERE CreatedDate > LAST_N_YEARS:1
AND StageName = 'Closed Won'
LIMIT 150import { composeQuery, getComposedField } from 'soql-parser-js';
const oppLineItemsSubquery = {
fields: [
getComposedField('Quantity'),
getComposedField('ListPrice'),
getComposedField({
field: 'UnitPrice',
relationships: ['PricebookEntry'],
}),
getComposedField({
field: 'Name',
relationships: ['PricebookEntry'],
}),
],
relationshipName: 'OpportunityLineItems',
};
const soqlQuery = {
fields: [
getComposedField('Id'),
getComposedField('Name'),
getComposedField({
fn: 'FORMAT',
parameters: 'Amount',
alias: 'MyFormattedAmount',
}),
getComposedField({ subquery: oppLineItemsSubquery }),
],
sObject: 'Opportunity',
where: {
left: {
field: 'CreatedDate',
operator: '>',
value: 'LAST_N_YEARS:1',
},
operator: 'AND',
right: {
left: {
field: 'StageName',
operator: '=',
value: 'Closed Won',
// literalType is optional, but if set to STRING and our value is not already wrapped in "'", they will be added
// All other literalType values are ignored when composing a query
literalType: 'STRING',
},
},
},
limit: 150,
};
const composedQuery = composeQuery(soqlQuery, { format: true });
console.log(composedQuery);In the example above, we made use of getComposedField(input: string | ComposeFieldInput) to compose the fields. The input expects a string or one of the following data structures listed below. An error will be thrown if the data passed in is not one of the following shapes.
This returns a FieldType object.
export interface ComposeField {
field: string;
objectPrefix?: string;
}
export interface ComposeFieldFunction {
fn: string;
parameters?: string | string[] | FieldFunctionExpression | FieldFunctionExpression[];
alias?: string;
}
export interface ComposeFieldRelationship {
field: string;
relationships: string[];
objectPrefix?: string;
}
export interface ComposeFieldSubquery {
subquery?: Subquery;
}
export interface ComposeFieldTypeof {
field: string;
conditions: FieldTypeOfCondition[];
}If you need to compose just a part of a query instead of the entire query, you can create an instance of the Compose class directly.
For example, if you just need the "WHERE" clause from a query as a string, you can do the following:
import { Compose, getComposedField, parseQuery } from 'soql-parser-js';
const soql = `SELECT Id FROM Account WHERE Name = 'Foo'`;
const parsedQuery = parseQuery(soql);
// Results of Parsed Query:
// const parsedQuery = {
// fields: [
// {
// type: 'Field',
// field: 'Id',
// },
// ],
// sObject: 'Account',
// where: {
// left: {
// field: 'Name',
// operator: '=',
// value: "'Foo'",
// literalType: 'STRING',
// },
// },
// };
// Create a new instance of the compose class and set the autoCompose to false to avoid composing the entire query
const composer = new Compose(parsedQuery, { autoCompose: false });
const whereClause = composer.parseWhereClause(parsedQuery.where);
console.log(whereClause);
// Name = 'Foo'
}This will parse a Query to confirm valid syntax, but will not parse into the Query data structure, which will have a small performance gain. This method is faster than parsing the full query.
Options:
export interface ConfigBase {
logging: boolean; // default=false
}import { isQueryValid } from 'soql-parser-js';
const soql =
'SELECT UserId, COUNT(Id) from LoginHistory WHERE LoginTime > 2010-09-20T22:16:30.000Z AND LoginTime < 2010-09-21T22:16:30.000Z GROUP BY UserId';
const isValid = isQueryValid(soql);
console.log(isValid);This function is provided as a convenience and just calls parse and compose. Check out the demo to see the outcome of the various format options.
import { formatQuery } from 'soql-parser-js';
const query = `SELECT Id, Name, AccountNumber, AccountSource, AnnualRevenue, BillingAddress, BillingCity, BillingCountry, BillingGeocodeAccuracy, ShippingStreet, Sic, SicDesc, Site, SystemModstamp, TickerSymbol, Type, Website, (SELECT Id, Name, AccountId, Amount, CampaignId, CloseDate, CreatedById, Type FROM Opportunities), (SELECT Id, Name, AccountNumber, AccountSource, AnnualRevenue, BillingAddress, Website FROM ChildAccounts) FROM Account WHERE Name LIKE 'a%' OR Name LIKE 'b%' OR Name LIKE 'c%'`;
const formattedQuery1 = formatQuery(query);
const formattedQuery2 = formatQuery(query, {
fieldMaxLineLen: 20,
fieldSubqueryParensOnOwnLine: false,
whereClauseOperatorsIndented: true,
});
const formattedQuery3 = formatQuery(query, { fieldSubqueryParensOnOwnLine: true, whereClauseOperatorsIndented: true });-- formattedQuery1
SELECT Id, Name, AccountNumber, AccountSource, AnnualRevenue,
BillingAddress, BillingCity, BillingCountry, BillingGeocodeAccuracy,
ShippingStreet, Sic, SicDesc, Site, SystemModstamp, TickerSymbol, Type,
Website,
(
SELECT Id, Name, AccountId, Amount, CampaignId, CloseDate,
CreatedById, Type
FROM Opportunities
),
(
SELECT Id, Name, AccountNumber, AccountSource, AnnualRevenue,
BillingAddress, Website
FROM ChildAccounts
)
FROM Account
WHERE Name LIKE 'a%'
OR Name LIKE 'b%'
OR Name LIKE 'c%'
-- formattedQuery2
SELECT Id, Name,
AccountNumber, AccountSource,
AnnualRevenue, BillingAddress,
BillingCity, BillingCountry,
BillingGeocodeAccuracy, ShippingStreet,
Sic, SicDesc, Site,
SystemModstamp, TickerSymbol, Type,
Website,
(SELECT Id, Name,
AccountId, Amount, CampaignId,
CloseDate, CreatedById, Type
FROM Opportunities),
(SELECT Id, Name,
AccountNumber, AccountSource,
AnnualRevenue, BillingAddress,
Website
FROM ChildAccounts)
FROM Account
WHERE Name LIKE 'a%'
OR Name LIKE 'b%'
OR Name LIKE 'c%'
-- formattedQuery3
SELECT Id, Name, AccountNumber, AccountSource, AnnualRevenue,
BillingAddress, BillingCity, BillingCountry, BillingGeocodeAccuracy,
ShippingStreet, Sic, SicDesc, Site, SystemModstamp, TickerSymbol, Type,
Website,
(
SELECT Id, Name, AccountId, Amount, CampaignId, CloseDate,
CreatedById, Type
FROM Opportunities
),
(
SELECT Id, Name, AccountNumber, AccountSource, AnnualRevenue,
BillingAddress, Website
FROM ChildAccounts
)
FROM Account
WHERE Name LIKE 'a%'
OR Name LIKE 'b%'
OR Name LIKE 'c%'export interface SoqlQueryConfig {
continueIfErrors?: boolean; // default=false
logging: boolean; // default=false
includeSubqueryAsField: boolean; // default=true
}
export interface SoqlComposeConfig {
logging: boolean; // default=false
format: boolean; // default=false
formatOptions?: FormatOptions;
autoCompose: boolean; // default=true
}
export interface FormatOptions {
numIndent?: number; // default=1
fieldMaxLineLen?: number; // default=60
fieldSubqueryParensOnOwnLine?: boolean; // default=true
whereClauseOperatorsIndented?: boolean; // default=false
logging?: boolean; // default=false
}The following utility functions are available:
getComposedField(input: string | ComposeFieldInput)- Convenience method to construct fields in the correct data format. See example usage in the Compose example.
isSubquery(query: Query | Subquery)- Returns true if the data passed in is a subquery
getFlattenedFields(query: Query)- Flatten a Salesforce record based on the parsed SOQL Query. this is useful if you have relationships in your query and want to show the results in a table, using
.dot notation for the relationship fields. - Refer to
tests/publicUtils.spec.tsfor usage examples.
- Flatten a Salesforce record based on the parsed SOQL Query. this is useful if you have relationships in your query and want to show the results in a table, using
These are all available for import in your typescript projects
export type LogicalOperator = 'AND' | 'OR';
export type Operator = '=' | '!=' | '<=' | '>=' | '>' | '<' | 'LIKE' | 'IN' | 'NOT IN' | 'INCLUDES' | 'EXCLUDES';
export type FieldTypeOfConditionType = 'WHEN' | 'ELSE';
export type GroupSelector = 'ABOVE' | 'AT' | 'BELOW' | 'ABOVE_OR_BELOW';
export type LogicalPrefix = 'NOT';
export type ForClause = 'VIEW' | 'UPDATE' | 'REFERENCE';
export type UpdateClause = 'TRACKING' | 'VIEWSTAT';
export type LiteralType =
| 'STRING'
| 'INTEGER'
| 'DECIMAL'
| 'BOOLEAN'
| 'NULL'
| 'DATETIME'
| 'DATE'
| 'DATE_LITERAL'
| 'DATE_N_LITERAL';
export type FieldType = Field | FieldFunctionExpression | FieldRelationship | FieldSubquery | FieldTypeOf;
export type OrderByCriterion = 'ASC' | 'DESC';
export type NullsOrder = 'FIRST' | 'LAST';
export type GroupByType = 'CUBE' | 'ROLLUP';
export interface Field {
type: 'Field';
field: string;
objectPrefix?: string; // required if object is aliased
}
export interface FieldFunctionExpression {
type: 'FieldFunctionExpression';
fn: string;
parameters?: string[] | FieldFunctionExpression[];
alias?: string;
isAggregateFn?: boolean; // not required for compose, will be populated if SOQL is parsed
rawValue?: string; // not required for compose, will be populated if SOQL is parsed with the raw value of the entire field
}
export interface FieldRelationship {
type: 'FieldRelationship';
field: string;
relationships: string[];
objectPrefix?: string; // required if object is aliased
rawValue?: string; // not required for compose, will be populated if SOQL is parsed with the raw value of the entire field
}
export interface FieldSubquery {
type: 'FieldSubquery';
subquery: Subquery;
from?: string; // not required for compose, will be populated if SOQL is parsed
}
export interface FieldTypeOf {
type: 'FieldTypeof';
field: string;
conditions: FieldTypeOfCondition[];
}
export interface FieldTypeOfCondition {
type: FieldTypeOfConditionType;
objectType?: string; // not present when ELSE
fieldList: string[];
}
export interface QueryBase {
fields: FieldType[];
sObjectAlias?: string;
where?: WhereClause;
limit?: number;
offset?: number;
groupBy?: GroupByClause;
having?: HavingClause;
orderBy?: OrderByClause | OrderByClause[];
withDataCategory?: WithDataCategoryClause;
for?: ForClause;
update?: UpdateClause;
}
export interface Query extends QueryBase {
sObject: string;
}
export interface Subquery extends QueryBase {
relationshipName: string;
sObjectPrefix?: string[];
}
export interface WhereClause {
left: Condition;
right?: WhereClause;
operator?: LogicalOperator;
}
export interface Condition {
openParen?: number;
closeParen?: number;
logicalPrefix?: LogicalPrefix;
field?: string;
fn?: FunctionExp;
operator: Operator;
value?: string | string[];
valueQuery?: Query;
literalType?: LiteralType; // If populated with STRING on compose, the value(s) will be wrapped in "'" if they are not already. - All other values ignored
dateLiteralVariable?: number; // not required for compose, will be populated if SOQL is parsed
}
export interface OrderByClause {
field?: string;
fn?: FunctionExp;
order?: OrderByCriterion;
nulls?: NullsOrder;
}
export interface GroupByClause {
field: string | string[];
type?: GroupByType;
}
export interface HavingClause {
left: HavingCondition;
right?: HavingClause;
operator?: LogicalOperator;
}
export interface HavingCondition {
openParen?: number;
closeParen?: number;
field?: string;
fn?: FunctionExp;
operator: string;
value: string | number;
}
export interface FunctionExp {
text?: string; // Should be formatted like this: Count(Id)
name?: string; // not used for compose, will be populated if SOQL is parsed
alias?: string;
parameter?: string | string[]; // not used for compose, will be populated if SOQL is parsed
isAggregateFn?: boolean; // not used for compose, will be populated if SOQL is parsed
fn?: FunctionExp; // used for nested functions FORMAT(MIN(CloseDate))
}
export interface WithDataCategoryClause {
conditions: WithDataCategoryCondition[];
}
export interface WithDataCategoryCondition {
groupName: string;
selector: GroupSelector;
parameters: string[];
}You only need to interact with the compose class if you want to compose part of a SOQL query
// Instance Properties
logging: boolean; // default to false
format: boolean; // default to false
query: string;
formatter: Formatter;
// Instance Methods:
constructor(private soql: Query, config?: Partial<SoqlComposeConfig>)
start(): void
// Pass in part of the parsed query to get the string representation for a given segment of a query
parseQuery(query: Query | Subquery): string
parseFields(fields: FieldType[]): string[]
parseTypeOfField(typeOfField: FieldTypeOf): string
parseFn(fn: FunctionExp): string
parseWhereClause(where: WhereClause): string
parseGroupByClause(groupBy: GroupByClause): string
parseHavingClause(having: HavingClause): string
parseOrderBy(orderBy: OrderByClause | OrderByClause[]): string
parseWithDataCategory(withDataCategory: WithDataCategoryClause): stringexport interface ComposeField {
field: string;
objectPrefix?: string;
}
export interface ComposeFieldFunction {
fn: string;
parameters?: string | string[] | FieldFunctionExpression | FieldFunctionExpression[];
alias?: string;
}
export interface ComposeFieldRelationship {
field: string;
relationships: string[];
objectPrefix?: string;
}
export interface ComposeFieldSubquery {
subquery?: Subquery;
}
export interface ComposeFieldTypeof {
field: string;
conditions: FieldTypeOfCondition[];
}
export type ComposeFieldInput =
| ComposeField
| ComposeFieldFunction
| ComposeFieldRelationship
| ComposeFieldSubquery
| ComposeFieldTypeof;The CLI can be used to parse a query or compose a previously parsed query back to SOQL.
Examples:
$ npm install -g soql-parser-js
$ soql --help
$ soql --query "SELECT Id FROM Account"
$ soql -query "SELECT Id FROM Account"
$ soql -query "SELECT Id FROM Account" -output some-output-file.json
$ soql -query "SELECT Id FROM Account" -json
$ soql -query some-input-file.txt
$ soql -compose some-input-file.json
$ soql -compose some-input-file.json
$ soql -compose some-input-file.json -output some-output-file.jsonArguments:
--query, -q A SOQL query surrounded in quotes or a file path to a text file containing a SOQL query.
--compose, -c An escaped and quoted parsed SOQL JSON string or a file path to a text file containing a parsed query JSON object.
--output, -o Filepath.
--json, -j Provide all output messages as JSON.
--debug, -d Print additional debug log messages.
--help, -h Show this help message.
All contributions are welcome on the project. Please read the contribution guidelines.
- This library is based on the ANTLR4 grammar file produced by Mulesoft.
- The following repository also was a help to get things started: https://github.com/petermetz/antlr-4-ts-test
