Teradata Us, Inc.

Yu Long

Congnan Luo

Judy Wu

Michael Leon Reed

Like Gao

Heng Yuan

Gregory Howard Milby

Steven Bart Cohen

John Douglas Frazier

Preeti Javaji

Various embodiments herein each include at least one of systems, methods, and software for generating, storing, and using non-unique secondary indexes of semi-structured data in database tables. One method embodiment includes creating and storing a non-unique secondary index (NUSI) for a database table based on column data stored in rows of the database table. The NUSI in some such embodiments identifying an offset to specific data included in the column data of at least some rows of the database table where the specific data is located. Other embodiments include building a NUSI index that includes values embedded therein.

Non-unique secondary indexing of semi-structured data in databases

A User-Defined Function (UDF) provided by a user and accessed through a user query is identified. A wrapper for the UDF is generated. The wrapper represents a customized instance of the UDF. The wrapper, during execution, selectively calls the UDF provided by the user. Any query that references the UDF is rewritten to process the wrapper instead of the UDF.

Transparent user-defined function (UDF) optimization

A data store system may include a persistent storage device that may store a plurality of data tables. The data store system may further include a processor array in communication with the persistent storage device. The processor array may receive a query comprising a call to a user-defined function (UDF) that may determine a plurality of aggregates for at least one data table from the plurality of data tables. The processor array may determine a number of the plurality of aggregates in the UDF. The processor array may perform a single read of rows associated with the plurality aggregates from the at least one data table. At least one row of the rows may be commonly associated with more than one of the plurality of aggregates. The processor array may generate each aggregate of the plurality of aggregates using the rows according to the UDF. A method and computer-readable medium may also be implemented.

Multiple aggregates in a single user-defined function

Apparatus, systems, and methods may operate to receive a request to move at least a portion of a database table stored on a tangible medium from a current partition to a history partition, wherein the database table is partitioned into physical partitions according to a selected mapping update frequency. In response to receiving the request, activities may include modifying a logical partitioning of the database table by updating a mapping of the physical partitions to logical partitions. Other apparatus, systems, and methods are disclosed.

Database partition management

Apparatus, systems, and methods may operate to receive requests to execute a plurality of compression and/or decompression mechanisms on one or more database objects; to execute each of the compression and/or decompression mechanisms, on a sampled basis, on the database objects; to determine comparative performance characteristics associated with each of the compression and/or decompression mechanisms; and to record at least some of the performance characteristics and/or derivative characteristics derived from the performance characteristics in a performance summary table. The table may be published to a storage medium or a display screen. Other apparatus, systems, and methods are disclosed.

Database compression analyzer

Apparatus, systems, and methods may operate to receive a set of ordered user-selected compression rules as a compression rule set comprising at least one compression threshold condition, to create or transform a database object with rows to be selectively compressed according to the compression rules in the compression rule set (providing a transformed object), and to publish at least a portion of the transformed object to one of a storage medium or a display screen. Other apparatus, systems, and methods are disclosed.

Database compression

Techniques for constructing and using run-time JAVA Archive (JAR) files for JAVA Stored Procedures (JSPs) are provided. JSP methods referenced by an application via a plurality of different JAR files are extracted and packed into a single packed JAR file. When the application tries to execute a JSP, the attempt to process the JSP methods is redirected to a new JSP that calls the single packed JAR file.

Growing community of inventors

San Diego, CA, United States of America

Yu Long