Abstract: A method provides deterministic row ordering for query result sets in a database system. A framework receives a query referencing a database table and generating a row index column in response. The framework generates the row index column that involves determining an order associated with source files underlying the referenced table and assigns each table row a unique index value based on the file order and row position within the files. The framework executes the received query to produce a result set ordered by the generated row index column. The framework determines row order based on analyzing underlying data file metadata and facilitates returning the result set with consistent, reliable ordering, enabling stable positional-based access semantics when querying distributed database tables.

Abstract: Examples provide a method for performing dynamic pivot queries employing PANDA-compatible semantics inside a cloud data platform workload. A SQL engine receives a pivot query specifying a pivot column for dynamically determining pivot values in a dynamic pivot operation. The SQL engine identifies, in the pivot query, a keyword or a subquery indicating dynamic determination of the pivot values. Based on identifying the keyword or the subquery indicating the dynamic determination of the pivot values, the SQL engine determines distinct pivot values for the pivot column by evaluating the keyword or executing the subquery. The evaluating of the keyword includes issuing a query to a data store to obtain the distinct pivot values for the pivot column. The SQL engine performs the dynamic pivot operation using the distinct pivot values for the pivot column.

Abstract: A method provides deterministic row ordering for query result sets in a database system. A framework receives a query referencing a database table and generating a row index column in response. The framework generates the row index column that involves determining an order associated with source files underlying the referenced table and assigns each table row a unique index value based on the file order and row position within the files. The framework executes the received query to produce a result set ordered by the generated row index column. The framework determines row order based on analyzing underlying data file metadata and facilitates returning the result set with consistent, reliable ordering, enabling stable positional-based access semantics when querying distributed database tables.

Abstract: A method includes receiving instructions to perform order-dependent DataFrame operation on data. In response to receiving the instructions, the framework analyzes the instructions to identify the order-dependent DataFrame operation, and generates an executable query corresponding to the identified order-dependent DataFrame operation. The framework executes the generated executable query on the data stored in the first database in the cloud data platform, creates a row position column that generates for each row a unique integer identifier, reproducible across multiple sessions and/or queries for the same underlying data to make the data accessible via positional indexing, and assigns each row of the first database a unique row index value based on the row position column and the row position column order.

Abstract: The subject technology identifies a set of functions included in a set of files corresponding to a library. The subject technology, for each function in the set of functions, registers the function as a user defined function (UDF). The subject technology generates a name for the function based at least in part on a predetermined prefix, wherein the predetermined prefix comprises an alphanumeric string. The subject technology generates, using at least a particular set of input parameters utilized by the function and a particular type of parameter of each input parameter of the particular set of input parameters, a particular set of source code. The subject technology stores information corresponding to the function in a metadata database. The subject technology provides access to the function in a different application.

Abstract: The subject technology identifies a set of functions included in a set of files corresponding to a library. The subject technology, for each function in the set of functions, registers the function as a user defined function (UDF). The subject technology generates a name for the function based at least in part on a predetermined prefix, wherein the predetermined prefix comprises an alphanumeric string. The subject technology generates, using at least a particular set of input parameters utilized by the function and a particular type of parameter of each input parameter of the particular set of input parameters, a particular set of source code. The subject technology stores information corresponding to the function in a metadata database. The subject technology provides access to the function in a different application.

Abstract: The subject technology identifies a set of functions in a set of files corresponding to a library. The subject technology, for each function, registers the function as a user defined function (UDF) based on a set of input parameters utilized by the function and a type of parameter of each of the input parameters. The subject technology provides access to each registered function in a different application.

Abstract: The subject technology receives a set of files corresponding to a library, the library comprising a set of functions included in the set of files. The subject technology parses the set of files. The subject technology identifies a set of functions in the set of files based on the parsing. The subject technology, for each function, registers the function as a user defined function (UDF) based on a set of input parameters utilized by the function and a type of parameter of each of the input parameters. The subject technology provides access to each registered function in a different application.