In one embodiment, a method for improving cardinality estimation of a join predicate between a fact table and an overloaded dimension table is provided. The method includes receiving a dimension table and a fact table in a join predicate of one or more SQL statements. The method further includes identifying a majority of records in the fact table that refer to a subset of records in the dimension table. The method further includes computing a filter factor of the join predicate between the dimension table and the fact table. The method further includes creating a statistical view using one or more relevant portions of the dimension table that are referred to by the fact table.

A join operation between split data tables includes providing value IDs. For each of the value IDs, a unique global ID may be associated with the value ID when the actual value represented by the value ID occurs among actual values comprising the second attribute of the second partition. For each identified unique global ID, the identified unique global ID may be paired with a document ID of a data record contained in a second partition stored at the second server in which the actual value in the data record is represented by the value ID associated with the identified unique global ID.

Disclosed herein are system, method, and computer tangible medium embodiments for generating a relational database model from a model view that provides an estimate for generating query plan for a query on the model view, according to an embodiment. A join model of a model view set on one or more database tables is received. At least one index conversion of the join model is performed, where the index conversion converts at least one index in the join model into at least one leaf node in a relational model tree. At least one join conversion of the join model is performed where the at least one join conversion generates a node in the relational model tree that joins a first and second leaf nodes in the relational model tree. A requested parameter conversion is performed, where the requested parameter conversion includes an attribute or key figure requested by a query.

A system and method of joining remote tables by a federated server is provided. A method includes receiving a data join request from a client device; sending a first block fetch request to a first data source based on the data join request; receiving a first set of block data from the first data source; sending a second block fetch request to a second data source based on the data join request and a bind array containing the data of join column in the first data source; receiving a second set of block data from the second data source; and sending an output to the client device in response to the data join request in the form of rows from an outer table and an inner table.

In an embodiment, a database platform receives query instructions for a query on a database, where the query instructions include instructions for a geospatial-function join that includes a geospatial-function predicate. The database platform generates a query-execution plan based on the query instructions, including replacing the geospatial-function join with one or more interval joins that each include one or more predicates implied by the geospatial-function predicate. The database platform inserts, into the query-execution plan above the one or more interval joins, a filter operator that applies the geospatial-function predicate. The database platform obtains results of the query at least in part by executing the query-execution plan, and returns the query results in response to the query.

A system and method for processing a database query is described. The method can, in response to detection that a database query involves a star or snowflake join operation, determine a selectivity ratio for each of a plurality of dimension tables. The selectivity ratio having a lower value can correspond to a more restrictive dimension table. Thereafter, a table ordering can be created beginning with a fact table and continuing with each of the dimension tables in ascending order of their corresponding selectivity ratios. Then a query plan involving join operations between successive tables in the table ordering can be created.

In one embodiment, a computer-implemented method includes selecting one or more sub-expressions of a query during compile time. One or more pilot runs are performed by one or more computer processors. The one or more pilot runs include a pilot run associated with each of one or more of the selected sub-expressions, and each pilot run includes at least partial execution of the associated selected sub-expression. The pilot runs are performed during execution time. Statistics are collected on the one or more pilot runs during performance of the one or more pilot runs. The query is optimized based at least in part on the statistics collected during the one or more pilot runs, where the optimization includes basing cardinality and cost estimates on the statistics collected during the pilot runs.

A method for dynamically building a column store database from a row store database. The method includes establishing the row store database for storing data, wherein each row includes a plurality of attributes, and wherein data in row store database is current to a temporal point in time. The method includes establishing the column store database including data structured to satisfy received analytic queries. The method includes beginning from an initial state of the column store database, for each subsequently received analytic query, importing a targeted amount of data from a corresponding temporal state of the row store database into the column store database to satisfy the corresponding subsequently received analytic query.

A method includes causing display of events that correspond to search results of a search query in a table. The table includes rows representing events comprising data items of event attributes, columns forming cells with the row, the columns representing respective event attributes, and interactive regions corresponding to one or more data items of the displayed data items. The method also includes in response to the user selecting a designated interactive region, causing display of a list of options, each displayed option corresponding to an interface template for composing query commands, and based on the user selecting an option in the displayed list of options, causing one or more commands to be added to the search query, the one or more commands composed based on the one or more data items that corresponds to the designated interactive region according to instructions of the interface template of the selected option.

According to one embodiment, an information processing apparatus includes a processor. The processor is configured to receive, from a client terminal, a first query to request a result of a join operation process on first and second tables, create a second query to a first database management device based on the first query, receive the first table from the first database management device by performing a process on the second query, create a third query to a second database management device based on the first query and the first table, receive a part of a second table from the second database management device by performing a process on the third query, and transmit, to the client terminal, a response to the first query based on the part of the second table.