json_exists lets you use a SQL/JSON
path expression as a row filter, to select rows based on the content of JSON documents. You
can use condition
json_exists in a
CASE expression or the
WHERE clause of a
json_exists checks for the existence of a
particular value within JSON data: it returns true if the value is present and false
if it is absent. More precisely,
json_exists returns true if the
data it targets matches one or more JSON values. If no JSON values are matched then
it returns false.
You can also use
to create bitmap indexes for use with JSON data — see Example 28-1.
ERROR ON ERROR,
FALSE ON ERROR, and
TRUE ON ERROR apply. The default is
ERROR. The handler takes effect when any error occurs, but typically an
error occurs when the given JSON data is not well-formed (using lax syntax). Unlike
the case for conditions
is json and
is not json,
expects the data it examines to be well-formed JSON data.
The second argument to
json_exists is a SQL/JSON path expression
followed by an optional
PASSING clause and an optional error
The optional filter expression of a SQL/JSON path
expression used with
json_exists can refer to SQL/JSON variables,
whose values are passed from SQL by binding them with the
clause. The following SQL data types are supported for such variables:
json_exists applied to JSON
null returns the SQL string
Oracle Database SQL Language Reference for information about
17.1 Using Filters with JSON_EXISTS
You can use SQL/JSON condition
json_exists with a path
expression that has one or more filter expressions, to select documents that contain matching
data. Filters let you test for the existence of documents that have particular fields that
satisfy various conditions.
json_exists returns true for documents containing data
that matches a SQL/JSON path expression. If the path expression contains a filter, then the
data that matches the path to which that filter is applied must also satisfy the filter, in
json_exists to return true for the document containing the
A filter applies to the path that immediately precedes it, and the
test is whether both (a) the given document has some data that matches that path, and (b)
that matching data satisfies the filter. If both of these conditions hold then
json_exists returns true for the document.
expression immediately preceding a filter defines the scope of the patterns used in it. An
@) within a filter refers to the data targeted by that
path, which is termed the current item for the filter. For example, in the path
$.LineItems?(@.Part.UPCCode == 85391628927),
refers to an occurrence of array
Example 17-1 JSON_EXISTS: Path Expression Without Filter
This example selects purchase-order documents that have a line item whose part description contains a UPC code entry.
SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$.LineItems.Part.UPCCode');
Example 17-2 JSON_EXISTS: Current Item and Scope in Path Expression Filters
This example shows three equivalent ways to
select documents that have a line item whose part contains a UPC code with a value of
SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$?(@.LineItems.Part.UPCCode == 85391628927)'); SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$.LineItems?(@.Part.UPCCode == 85391628927)'); SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$.LineItems.Part?(@.UPCCode == 85391628927)');
In the first query, the scope of the filter is the context item, that is, an entire purchase order.
@refers to the context item.
In the second query, the filter scope is a
LineItemsarray (and each of its elements, implicitly).
@refers to an element of that array.
In the third query, the filter scope is a
Partfield of an element in a
@refers to a
Example 17-3 JSON_EXISTS: Filter Conditions Depend On the Current Item
This example selects purchase-order documents that have
both a line item with a part that has UPC code
and a line item with an order quantity greater than 3. The scope of each filter, that
is, the current item, is in this case the context item. Each filter condition applies
independently (to the same document); the two conditions do not necessarily apply to
the same line
SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$?(@.LineItems.Part.UPCCode == 85391628927 && @.LineItems.Quantity > 3)');
Example 17-4 JSON_EXISTS: Filter Downscoping
This example looks similar to Example 17-3, but it acts quite differently. It selects purchase-order
documents that have a line item with a part that has UPC code and with an order
quantity greater than 3. The scope of the current item in the filter is at a lower level; it
is not the context item but a
LineItems array element. That is, the same
line item must satisfy both conditions, for
json_exists to return
SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$.LineItems[*]?(@.Part.UPCCode == 85391628927 && @.Quantity > 3)');
Example 17-5 JSON_EXISTS: Path Expression Using Path-Expression exists Condition
This example shows how to downscope
one part of a filter while leaving another part scoped at the document (context-item) level.
It selects purchase-order documents that have a
User field whose value is
"ABULL" and documents that have a line item with a part that has UPC code
and with an order quantity greater than 3. That is, it selects the same documents
selected by Example 17-4, as well as all documents that have
"ABULL" as the user. The argument to path-expression predicate
exists is a path expression that specifies particular line
items; the predicate returns true if a match is found, that is, if any such line items
(If you use this example or similar with SQL*Plus then you must
SET DEFINE OFF first, so that SQL*Plus does not interpret
&& exists as a substitution variable and prompt you to define
SELECT po.po_document FROM j_purchaseorder po WHERE json_exists(po.po_document, '$?(@.User == "ABULL" && exists(@.LineItems[*]?( @.Part.UPCCode == 85391628927 && @.Quantity > 3)))');
17.2 JSON_EXISTS as JSON_TABLE
json_exists can be viewed as a special case of SQL/JSON function
Example 17-6 illustrates the equivalence: the two
SELECT statements have the same effect.
In addition to perhaps helping you understand
json_exists better, this equivalence is important practically, because it means that you can use either to get the same effect.
In particular, if you use
json_exists more than once, or you use it in combination with
json_query (which can also be expressed using
json_table), to access the same data, then a single invocation of
json_table presents the advantage that the data is parsed only once.
Because of this, the optimizer often automatically rewrites multiple invocations of
json_query (any combination) to fewer invocations of
Example 17-6 JSON_EXISTS Expressed Using JSON_TABLE
SELECT select_list FROM table WHERE json_exists(column, json_path error_handler ON ERROR); SELECT select_list FROM table, json_table(column, '$' error_handler ON ERROR COLUMNS ("COLUMN_ALIAS" NUMBER EXISTS PATH json_path)) AS "JT" WHERE jt.column_alias = 1;