Abstract: In some examples, a method may include receiving a continuous query, the continuous query being identified based at least in part on an archived relation associated with an application. The method may also include generating a physical query plan for the continuous query. In some examples, the method may also include identifying a query operator in the physical query plan and/or constructing an archiver query for the identified query operator. In some aspects, the method may also include executing the archiver query to obtain a result set of data records related to the application and/or initializing a state of the query operator based at least in part on the result set of data records. Further, the method may also include generating a snapshot output of one or more data values related to the application based at least in part on the state of the identified query operator.

Abstract: A continuous query may be received, the continuous query being identified based at least in part on an archived view. The archived view may be created and/or identified based at least in part on a join query related to two or more archived relations associated with an application, at least one of the two or more archived relations being identified as a dimension relation. A query plan for the continuous query may be generated. A join operator in the query plan may be identified based at least in part on the dimension relation. A state of an operator corresponding to the dimension relation may be initialized. It may be identified if the state of the operator identifies an event that detects a change to the dimension relation. The continuous query may be re-started based at least in part on the event that detects the change to the dimension relation.

Abstract: A method may include receiving a continuous query identified by an archived view. The method may also include creating the archived view, the archived view identified by a join query related to two or more archived relations associated with an application and/or generating a query plan for the continuous query. The method may also include identifying a view root operator in the archived view, the view root operator identified as a join operator in the archived view and/or identifying a query operator in the query plan that topologically precedes the view root operator. Further, the method may include constructing an archiver query for the identified query operator that topologically precedes the view root operator, executing the archiver query to obtain a result set of data records related to the application, and/or generating a snapshot output of one or more data values related to the application.

Abstract: Techniques for counting event changes with archived relations are provided. In some examples, a query that identifies at least a data object may be identified. Additionally, the query may be evaluated against historical data associated with the data object. Additionally, in some instances, a listening service may be registered with the data object. Further, the query may be evaluated based at least in part on the data object and the historical data.

Abstract: Techniques for managing continuous queries with archived relations are provided. In some examples, a query that includes at least a data stream may be identified. Additionally, the query may be initialized with at least a portion of historical data. Further, in some instances, the query may be evaluated based at least in part on the data stream and the portion of the historical data.

Abstract: Method and system is provided for managing metadata for a plurality of data containers that are stored at one or more storage volumes in a clustered storage system. The metadata is collected from one or more storage volumes and then provided to a catalog module. The catalog module pre-processes the metadata and then generates a searchable data structure. The searchable data structure may then be used to respond to a user request for information regarding the storage system.

Abstract: Method and system is provided for managing metadata for a plurality of data containers that are stored at one or more storage volumes in a storage system. The metadata is collected from one or more storage volumes and then provided to a catalog module. The catalog module pre-processes the metadata and then generates a searchable data structure. The searchable data structure may then be used to respond to a user request for information regarding the storage system.

Abstract: One embodiment of the present invention provides a system that uses an index that is hash-partitioned to access a table that is not hash-partitioned. During system operation, the database receives a request to perform an operation involving a table in the database. If performing the operation involves looking up a key in the hash-partitioned index, the database applies a hash function to the key to identify a unique partition within the hash-partitioned index for the key, and uses the key to perform a lookup in the identified partition to identify zero or more rows of the table that match the key.

Abstract: One embodiment of the invention includes a method of processing streaming data. The method includes initializing a stream of data and setting a time interval to apply to the stream of data. The time interval comprises a window for analyzing the data within the stream of data. The method further includes identifying one or more columns within the stream of data, designating one or more of the columns to be monitored for differences within the data over the time interval, and monitoring the designated columns over the time interval. Further, the method includes determining that at least one value from at least one of the designated columns has changed and in response to at least one value changing, outputting the changed values from the designated columns.

Abstract: The present invention includes a method for providing parameterized queries in complex event processing (CEP). The method includes providing a query template which includes one or more bind variables, providing sets of parameters corresponding to the one or more bind variables, and parsing the query template to determine positions of the one or more bind variables. The method further includes scanning the provided sets of parameters to determine which of the sets of parameters are to be bound to the one or more bind variables, binding the one or more bind variables which are determined to be bound to the sets of parameters, and substituting the bound one or more bind variables with the corresponding sets of parameters. The method further includes injecting all incarnations of the parameterized queries into the system, and one template/parameterized query is configured to run them all.

Abstract: The concept of portioning is expanded with a variety of techniques. In particular, one technique involves partitioning an object at multiple levels, where at least one of the levels uses list-based partitioning. Further, a partitioning technique is provided which involves storing a data item in a default partition when the item does not map to any one of the list-based partitions for which a key value group has been defined. Techniques are also provided for efficiently splitting a partition.

Abstract: The concept of portioning is expanded with a variety of techniques. In particular, one technique involves partitioning an object at multiple levels, where at least one of the levels uses list-based partitioning. Further, a partitioning technique is provided which involves storing a data item in a default partition when the item does not map to any one of the list-based partitions for which a key value group has been defined. Techniques are also provided for efficiently splitting a partition.

Abstract: One embodiment of the present invention provides a system that optimizes the execution of a database query involving a target partitioned-database-object. During system operation, the database receives a query. If the query has a predicate that includes a partition-mapping function that uses the partitioning schema of a partitioned database-object and a list of columns from one or more tables to express a mapping of the list of column values to the partitions of the partitioned database-object, the system determines the compatibility of the partitioning schemas of the target partitioned-database-object and the partitioned database-object. Next, if the partitioning schemas are compatible, and if the list of columns is compatible with the partitioning keys of the target partitioned-database-object and the partitioned database-object, the system attempts to identify a subset of partitions in the target partitioned-database-object that satisfy the predicate.

Abstract: The concept of portioning is expanded with a variety of techniques. In particular, one technique involves partitioning an object at multiple levels, where at least one of the levels uses list-based partitioning. Further, a partitioning technique is provided which involves storing a data item in a default partition when the item does not map to any one of the list-based partitions for which a key value group has been defined. Techniques are also provided for efficiently splitting a partition.

Abstract: The concept of portioning is expanded with a variety of techniques. In particular, one technique involves partitioning an object at multiple levels, where at least one of the levels uses list-based partitioning. Further, a partitioning technique is provided which involves storing a data item in a default partition when the item does not map to any one of the list-based partitions for which a key value group has been defined. Techniques are also provided for efficiently splitting a partition.

Abstract: The concept of partitioning is expanded with a variety of techniques. In particular, one technique involves partitioning an object at multiple levels, where at least one of the levels uses list-based partitioning. Further, a partitioning technique is provided which involves storing a data item in a default partition when the item does not map to any one of the list-based partitions for which a key value group has been defined. Techniques are also provided for efficiently splitting a partition.

Abstract: One embodiment of the present invention provides a system that optimizes the execution of a database query involving a target partitioned-database-object. During system operation, the database receives a query. If the query has a predicate that includes a partition-mapping function that uses the partitioning schema of a partitioned database-object and a list of columns from one or more tables to express a mapping of the list of column values to the partitions of the partitioned database-object, the system determines the compatibility of the partitioning schemas of the target partitioned-database-object and the partitioned database-object. Next, if the partitioning schemas are compatible, and if the list of columns is compatible with the partitioning keys of the target partitioned-database-object and the partitioned database-object, the system attempts to identify a subset of partitions in the target partitioned-database-object that satisfy the predicate.

Abstract: One embodiment of the present invention provides a system that uses an index that is hash-partitioned to access a table that is not hash-partitioned. During system operation, the database receives a request to perform an operation involving a table in the database. If performing the operation involves looking up a key in the hash-partitioned index, the database applies a hash function to the key to identify a unique partition within the hash-partitioned index for the key, and uses the key to perform a lookup in the identified partition to identify zero or more rows of the table that match the key.