Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract: An improved system and method for adding a storage server in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Additional storage servers may then be added and column chunks may be redistributed among the storage servers in the column chunk data store.

Abstract: An improved system and method for importing update data in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Update data may then be incrementally imported as separate column chunks that may later be merged with the column chunks of the partitioned data table.

Abstract: An improved system and method for removing a storage server in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Storage servers may then be removed and column chunks may be redistributed among the remaining storage servers in the column chunk data store.

Abstract: An improved system and method for recovery from failure of a storage server in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Storage servers may then fail and column chunks may be recreated from parity column chunks and redistributed among the remaining storage servers in the column chunk data store.

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract: An improved system and method for a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns as a key with various partitioning methods. There may also be a storage policy for specifying how to partition a data table for distributing column chunks across multiple servers and for specifying a level of redundancy for recovery from failure of storage servers.

Abstract: An improved system and method for compression in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns with various partitioning methods. Domain specific compression may be applied to a column chunk to reduce storage requirements of column chunks and increase transmission speeds for sending column chunks between storage servers.

Abstract: An improved system and method for a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Any data table may be flexibly partitioned into column chunks using one or more columns as a key with various partitioning methods. There may also be a storage policy for specifying how to partition a data table for distributing column chunks across multiple servers and for specifying a level of redundancy for recovery from failure of storage servers.