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different research and production applications. These in- clude: a financial data analysis system, a jet engine performance monitoring package, an asteroid tracking database, a medical information database, and searching in a full text search system; for example, a magazine article or email message. The text search engine must be able to parse documents and store associations of lexemes (key words) with their parent document PostgreSQL backend server and to receive the results of these queries. libpq is also the underlying engine for several other PostgreSQL application interfaces, including those written for C++, Perl, Python

different research and production applications. These include: a financial data analysis system, a jet engine performance monitoring package, an aster- oid tracking database, a medical information database, searching in a full text search system; for example, a magazine article or email message. The text search engine must be able to parse documents and store associations of lexemes (key words) with their parent document PostgreSQL backend server and to receive the results of these queries. libpq is also the underlying engine for several other PostgreSQL application interfaces, including those written for C++, Perl, Python

different research and production applications. These include: a financial data analysis system, a jet engine performance monitoring package, an aster- oid tracking database, a medical information database, searching in a full text search system; for example, a magazine article or email message. The text search engine must be able to parse documents and store associations of lexemes (key words) with their parent document PostgreSQL backend server and to receive the results of these queries. libpq is also the underlying engine for several other PostgreSQL application interfaces, including those written for C++, Perl, Python

different research and production applications. These in- clude: a financial data analysis system, a jet engine performance monitoring package, an asteroid tracking database, a medical information database, and searching in a full text search system; for example, a magazine article or email message. The text search engine must be able to parse documents and store associations of lexemes (key words) with their parent document PostgreSQL backend server and to receive the results of these queries. libpq is also the underlying engine for several other PostgreSQL application interfaces, including those written for C++, Perl, Python

different research and production applications. These in- clude: a financial data analysis system, a jet engine performance monitoring package, an asteroid tracking database, a medical information database, and representation of the parsed SQL/JSON path expression that spec- ifies the items to be retrieved by the path engine from the JSON data for further processing with the SQL/ JSON query functions. The semantics of SQL/JSON Section 8.14.6. JSON query functions and operators pass the provided path expression to the path engine for evaluation. If the expression matches the queried JSON data, the corresponding JSON item, or

different research and production applications. These in- clude: a financial data analysis system, a jet engine performance monitoring package, an asteroid tracking database, a medical information database, and representation of the parsed SQL/JSON path expression that spec- ifies the items to be retrieved by the path engine from the JSON data for further processing with the SQL/ JSON query functions. The semantics of SQL/JSON Section 8.14.7. JSON query functions and operators pass the provided path expression to the path engine for evaluation. If the expression matches the queried JSON data, the corresponding JSON item, or

different research and production applications. These include: a financial data analysis system, a jet engine performance monitoring package, an aster- oid tracking database, a medical information database, representation of the parsed SQL/JSON path expression that specifies the items to be retrieved by the path engine from the JSON data for further processing with the SQL/JSON query functions. The semantics of SQL/JSON Section 8.14.6. JSON query functions and operators pass the provided path expression to the path engine for evalua- tion. If the expression matches the queried JSON data, the corresponding JSON item, or

different research and production applications. These include: a financial data analysis system, a jet engine performance monitoring package, an aster- oid tracking database, a medical information database, representation of the parsed SQL/JSON path expression that specifies the items to be retrieved by the path engine from the JSON data for further processing with the SQL/JSON query functions. The semantics of SQL/JSON Functions and Operators JSON query functions and operators pass the provided path expression to the path engine for evalua- tion. If the expression matches the queried JSON data, the corresponding JSON item, or

different research and production applications. These in- clude: a financial data analysis system, a jet engine performance monitoring package, an asteroid tracking database, a medical information database, and representation of the parsed SQL/JSON path expression that spec- ifies the items to be retrieved by the path engine from the JSON data for further processing with the SQL/ JSON query functions. The semantics of SQL/JSON Section 8.14.7. JSON query functions and operators pass the provided path expression to the path engine for evaluation. If the expression matches the queried JSON data, the corresponding JSON item, or