Snowflake Inc.

Alejandro Salinger

Ismail Oukid

Thierry Cruanes

Stefan Richter

Matthias Carl Adams

Mahmud Allahverdiyev

Peter Popov

A method to perform an indexed geospatial search includes retrieving, by at least one hardware processor, a query specifying a geography data column and a constant geography object. A first plurality of hash functions of a first set of cells covering a surface associated with the geography data column is determined. A search index of a database including the geography data column is updated based on the first plurality of hash functions to obtain an updated search index. The query is executed on a reduced scan set of the database. The reduced scan set is based on the updated search index.

Indexed geospatial search

Provided herein are systems and methods for indexed geospatial predicate search. An example method performed by at least one hardware processor includes decoding a query with a geospatial predicate. The geospatial predicate is configured between a geography data column and a constant geography object. The method further includes computing a first covering for a data value of a plurality of data values in the geography data column. The first covering includes a first set of cells in a hierarchical grid representation of a geography. The first set of cells represents a surface of the geography associated with the data value. A second covering is computed for the constant geography object. A determination is made on whether to prune at least one partition of a database organized into a set of partitions and including the geography data column based on a comparison between the first covering and the second covering.

Indexed geospatial predicate search

A query directed at a source table organized into a set of batch units is received. The query comprises a regular expression search pattern. The regular expression search pattern is converted to a pruning index predicate comprising a set of substring literals extracted from the regular expression search pattern. A set of N-grams is generated based on the set of substring literals extracted from the regular expression search pattern. A pruning index associated with the source table is accessed. The pruning index indexes distinct N-grams in each column of the source table. A subset of batch units to scan for data matching the query are identified based on the pruning index and the set of N-grams. The query is processed by scanning the subset of batch units.

Regular expression search query processing using pruning index

Indexed regular expression search with N-grams

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Berlin, Germany

Alejandro Salinger