Abstract: A method including determining a database table for which a database index is to be created, wherein the database table comprises a spatial field for storing spatial data; acquiring, for the database table, a spatial filter condition comprising a spatial field ID; and generating, according to the spatial filter condition, a tree-structured spatial index for the database table, wherein a leaf node of the tree-structured spatial index stores therein spatial data meeting the spatial filter condition and its primary key ID. The efficiency of queries related to spatial data is thus enhanced.

Abstract: A data processing method including: acquiring information of multiple first data blocks of a first level to be merged and information of multiple second data blocks of a second level to be merged, wherein each of the first data blocks of the first level has the same first size, and each of the second data blocks of the second level has the same second size; performing, according to the information of the multiple first data blocks and the information of the multiple second data blocks, data comparison on each of the first data blocks and each of the second data blocks; and performing, according to a comparison result, data compaction on the first level and the second level. The embodiments of the present disclosure effectively reduce system overheads caused by I/O data read and write and data comparison, thereby improving the system throughput.

Abstract: A method including determining a database table for which a database index is to be created, wherein the database table comprises a spatial field for storing spatial data; acquiring, for the database table, a spatial filter condition comprising a spatial field ID; and generating, according to the spatial filter condition, a tree-structured spatial index for the database table, wherein a leaf node of the tree-structured spatial index stores therein spatial data meeting the spatial filter condition and its primary key ID. The efficiency of queries related to spatial data is thus enhanced.

Abstract: Embodiments of present disclosure provides a method and an apparatus for data writing. An exemplary method includes: obtaining first to-be-written data; determining a first group identifier corresponding to the first to-be-written data; determining a master node corresponding to the first group identifier; and writing the first to-be-written data if the master node is the current node.

Abstract: Embodiments of present disclosure provides a method and an apparatus for data writing. An exemplary method includes: obtaining first to-be-written data; determining a first group identifier corresponding to the first to-be-written data; determining a master node corresponding to the first group identifier; and writing the first to-be-written data if the master node is the current node.