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Version: v7

Import

Refer to the TypeScript reference page for information about the types and interfaces referenced below.

Import/parser functions take a string or object representing a query in a specific language and translate it to a query suitable for the query or defaultQuery props in a <QueryBuilder /> component.

The optional second parameter is an options object to configure the parsing behavior or query generation (see Configuration).

SQL​

function parseSQL(sql: string, options?: ParseSQLOptions): RuleGroupTypeAny;

parseSQL accepts a SQL SELECT statement (either the full statement or the WHERE clause by itself).

Click the "Import SQL" button in the demo to try it out.

Options​

In addition to the standard configuration options, parseSQL accepts two options that configure the handling of named or anonymous bind variables within the SQL string.

  • params (any[] | Record<string, any>): An array of parameter values or a parameter-to-value mapping object.
  • paramPrefix (string): Ignores this string at the beginning of parameter identifiers when matching to parameter names in the params object.

Usage​

Running any of the following statements will produce the same result (see output below).

parseSQL(`SELECT * FROM t WHERE firstName = 'Steve' AND lastName = 'Vai'`);

parseSQL(`SELECT * FROM t WHERE firstName = ? AND lastName = ?`, {
  params: ['Steve', 'Vai'],
});

parseSQL(`SELECT * FROM t WHERE firstName = :p1 AND lastName = :p2`, {
  params: { p1: 'Steve', p2: 'Vai' },
});

parseSQL(`SELECT * FROM t WHERE firstName = $p1 AND lastName = $p2`, {
  params: { p1: 'Steve', p2: 'Vai' },
  paramPrefix: '$',
});

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "Steve"
    },
    {
      "field": "lastName",
      "operator": "=",
      "value": "Vai"
    }
  ]
}
tip

Since v5.0, parseSQL can detect XOR operators and convert the expressions into rule groups with combinator "xor". However, since "xor" is not one of the members of defaultCombinators, you will need to specify defaultCombinatorsExtended (or some derivation of that) in your <QueryBuilder /> props if you believe the original SQL might contain XOR clauses.

import { defaultCombinatorsExtended, parseSQL, QueryBuilder } from 'react-querybuilder';

const query = parseSQL(`SELECT * FROM tbl WHERE a = 'b' XOR c = 'd';`);

const App = () => {
  return (
    <QueryBuilder
      query={query}
      combinators={defaultCombinatorsExtended}
    />
  );
};

MongoDB​

function parseMongoDB(
  mongoDbQuery: string | Record<string, any>,
  options?: ParseMongoDbOptions
): RuleGroupTypeAny;

parseMongoDB takes a MongoDB query as a JSON object or JSON.parse-able string.

Click the "Import MongoDB" button in the demo to try it out.

Usage​

parseMongoDB(`{ "firstName": "Steve", "lastName": { $eq: "Vai" } }`);
// OR
parseMongoDB({ firstName: 'Steve', lastName: { $eq: 'Vai' } });

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "Steve"
    },
    {
      "field": "lastName",
      "operator": "=",
      "value": "Vai"
    }
  ]
}

Custom operators​

parseMongoDB can identify and process custom operators with the additionalOperators option. The option is a map of operators to their respective processing functions. Functions are passed the operator, the associated value, and any other options that were set. They should return a RuleType or RuleGroupType. (They should not return RuleGroupTypeIC, even if using independent combinators. If the independentCombinators option is true, parseMongoDB will convert the final query to RuleGroupTypeIC before returning it.)

Example:

parseMongoDB(
  {
    $myCustomOp: ['Vai', 'Vaughan'],
  },
  {
    additionalOperators: {
      $myCustomOp: (_op, val) => ({
        field: 'lastName',
        operator: 'in',
        value: val,
      }),
    },
  }
);

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "lastName",
      "operator": "in",
      "value": ["Vai", "Vaughan"]
    }
  ]
}
tip

Valid MongoDB query strings may not strictly conform to the JSON specification. To cover the extended format, you may want to pre-parse query strings with a library like mongodb-query-parser before passing them to parseMongoDB.

JsonLogic​

function parseJsonLogic(
  jsonLogic: string | JsonLogic,
  options?: ParseJsonLogicOptions
): RuleGroupTypeAny;

parseJsonLogic takes a JsonLogic object or JSON.parse-able string.

Click the "Import JsonLogic" button in the demo to try it out.

Usage​

parseJsonLogic(
  `{ "and": [{ "===": [{ "var": "firstName" }, "Steve"] }, { "===": [{ "var": "lastName" }, "Vai"] }] }`
);
// OR
parseJsonLogic({
  and: [{ '===': [{ var: 'firstName' }, 'Steve'] }, { '===': [{ var: 'lastName' }, 'Vai'] }],
});

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "Steve"
    },
    {
      "field": "lastName",
      "operator": "=",
      "value": "Vai"
    }
  ]
}

Custom operations​

By default, parseJsonLogic handles the standard JsonLogic operations that correspond to one of the default operators in React Query Builder. To handle custom operations, use the jsonLogicOperations option.

jsonLogicOperations is Record<string, (val: any) => RuleType | RuleGroupTypeAny. The keys of the object should be the custom operations, and the corresponding values should be functions that return a rule or group.

note

Including any of the standard JsonLogic operations as keys in the jsonLogicOperations object will override the default parseJsonLogic behavior for those operations.

The example below uses a custom "regex" operation to produce a rule with the "contains" operator, the value being the source of the regular expression in the JsonLogic rule.

parseJsonLogic(
  { regex: [{ var: 'firstName' }, /^Stev/] },
  {
    jsonLogicOperations: {
      regex: val => ({ field: val[0].var, operator: 'contains', value: val[1].source }),
    },
  }
);

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "contains",
      "value": "^Stev"
    }
  ]
}

Spring Expression Language (SpEL)​

function parseSpEL(spelQuery: string, options?: ParseSpELOptions): RuleGroupTypeAny;

parseSpEL takes a SpEL string.

Click the "Import SpEL" button in the demo to try it out.

Usage​

parseSpEL(`firstName == "Steve" && lastName == "Vai"`);

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "Steve"
    },
    {
      "field": "lastName",
      "operator": "=",
      "value": "Vai"
    }
  ]
}

Common Expression Language (CEL)​

function parseCEL(celQuery: string, options?: ParseCELOptions): RuleGroupTypeAny;

parseCEL takes a CEL string.

Click the "Import CEL" button in the demo to try it out.

Usage​

parseCEL(`firstName == "Steve" && lastName == "Vai"`);

Output (RuleGroupType):

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "Steve"
    },
    {
      "field": "lastName",
      "operator": "=",
      "value": "Vai"
    }
  ]
}

Configuration​

Lists as arrays​

To generate arrays instead of comma-separated strings for lists of values following "in"- and "between"-type operators, use the listsAsArrays option.

parseSQL(`SELECT * FROM t WHERE lastName IN ('Vai', 'Vaughan') AND age BETWEEN 20 AND 100`, {
  listsAsArrays: true;
});

Output:

{
  "combinator": "and",
  "rules": [
    {
      "field": "lastName",
      "operator": "in",
      "value": ["Vai", "Vaughan"]
    },
    {
      "field": "age",
      "operator": "between",
      "value": [20, 100]
    }
  ]
}

Independent combinators​

When the independentCombinators option is true, parse* functions will output a query with combinator identifiers between sibling rules/groups instead of the group level.

parseSQL(`SELECT * FROM t WHERE firstName = 'Steve' AND lastName = 'Vai'`, {
  independentCombinators: true,
});

Output (RuleGroupTypeIC):

{
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "Steve"
    },
    "and",
    {
      "field": "lastName",
      "operator": "=",
      "value": "Vai"
    }
  ]
}

Fields as value source​

When the fields option (which accepts the same types as the fields prop) is provided, and only if it is provided, then parse* functions will validate clauses that have a field identifier to the right of the operator instead of a primitive value. A getValueSources function (with the same signature as the prop of the same name) can also be provided to help validate rules.

In order for such a rule to be considered valid, one of the following must be an array that includes the string "field": 1) the getValueSources return value, 2) the field's valueSources function return value, or 3) the field's valueSources property itself. The code below demonstrates all three methods.

parseSQL(`SELECT * FROM t WHERE firstName = lastName`, {
  fields: [
    { name: 'firstName', label: 'First Name', valueSources: ['value', 'field'] },
    { name: 'lastName', label: 'Last Name', valueSources: () => ['value', 'field'] },
  ],
  getValueSources: () => ['value', 'field'],
});

Output:

{
  "combinator": "and",
  "rules": [
    {
      "field": "firstName",
      "operator": "=",
      "value": "lastName",
      "valueSource": "field"
    }
  ]
}
note

parse* functions will only validate clauses where "field" is the only detected value source. Operators like "between" and "in" that take multiple values must only have field names or only scalar values to the right of the operator, not a mix of field names and scalar values. See examples below.

Clauses that will be deemed invalid​

// 1 is a scalar value and `iq` is a field name
parseSQL(`SELECT * FROM tbl WHERE age between 1 and iq`);
// List contains a mix of scalar values and field names
parseSQL(`SELECT * FROM tbl WHERE firstName IN (lastName, 'Steve', 'Stevie')`);

Clauses that will (probably) be deemed valid​

// Both are field names
parseSQL(`SELECT * FROM tbl WHERE age between numChildren and iq`);
// Both are scalar values
parseSQL(`SELECT * FROM tbl WHERE age between 26 and 52`);
// All items are field names
parseSQL(`SELECT * FROM tbl WHERE firstName IN (lastName, middleName)`);
// All items are scalar values
parseSQL(`SELECT * FROM tbl WHERE firstName IN ('Steve', 'Stevie')`);