LIDAR model with hybrid-columnar format and no indexes for spatial searches

• US 9,495,466 B2
• Filed: 11/27/2013
• Issued: 11/15/2016
• Est. Priority Date: 11/27/2013
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Geringer, Daniel, Ravada, Siva, Anderson, Richard J., Hu, Ying
• Primary Examiner(s): Casanova, Jorge A
• Application Number:
  US14/092,503
• Publication Number:
  US 20150149479A1
• Time in Patent Office: 1,084 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9027 Trees
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

A method and apparatus for querying a database table containing point spatial data and without indexes is provided. A request for point spatial data in the table includes a query window provided by the user and describing an area of interest in which the user desires the point spatial data contained therein. The query window is tiled to create interior tiles and boundary tiles. A first query is formed to determine the point spatial data contained in the interior tiles. A second query is formed to determine the point spatial data contained within the boundary tiles and also within the query window. The second query includes a function that tests to determine whether the point spatial data within a boundary tile also lies within the query window. The first and second queries are executed in part on an enhanced data storage device and the results joined and returned to the user in answer to the request.

Claims

1. A method for querying a database having a table containing point spatial data, the method comprising:

receiving a user request specifying a query window for point spatial data contained within the query window;

generating one or more tiles that cover the query window;

computing extents of the one or more tiles;

generating a query for determining point spatial data in the table contained within the one or more tiles using the extents of the one or more tiles, said query comprising predicate clauses within a WHERE clause, said predicate clauses comprising, for each extent of said extents, a respective predicate clause specifying one or more conditions based on said each extent; and

computing the query, wherein computing the query includes, for each predicate clause of said predicate clauses;

sending a respective set of smart scan requests to an enhanced storage device for execution to cause said enhanced storage device to scan for rows that satisfy the one or more conditions of said each predicate clause, and

from the enhanced storage device, receiving resultant rows returned for the respective set of smart scans.

2. The method of claim 1, wherein the table is stored in hybrid-columnar format.

3. The method of claim 2, wherein said table is not indexed by a DBMS.

4. The method of claim 2, wherein said one or more conditions of each predicate clause of said predicate clauses are based on columns of said table, wherein said columns of said table are not indexed by a DBMS.

5. The method of claim 1, wherein generating the one or more tiles includes tiling the query window.

6. The method of claim 1, wherein generating the query includes using the extents of the one or more tiles to generate SQL “

BETWEEN”

clauses for the query.

7. The method of claim 1, after computing the query, loading point spatial data into said table without updating an index on said table.

8. The method of claim 1, wherein in response to said sending a respective set of smart scan requests to an enhanced storage device, said enhanced storage device performs columnar scanning on columns stored in column-major format to find rows that satisfy said one or more conditions of said each predicate clause.

9. The method of claim 8, wherein at least one column of said columns is compressed.

10. The method of claim 9, wherein for a given set of rows of said table, said columnar scanning includes evaluating whether compressed column values in said at least one column satisfy a predicate condition without decompressing said column values.

11. One or more non-transitory storage media storing instructions for querying a database having a table containing point spatial data, said instructions, which, when executed by one or more computing devices, cause:

receiving a user request specifying a query window for point spatial data contained within the query window;

generating one or more tiles that cover the query window;

computing extents of the one or more tiles;

generating a query for determining point spatial data in the table contained within the one or more tiles using the extents of the one or more tiles, said query comprising predicate clauses within a WHERE clause, said predicate clauses comprising, for each extent of said extents, a respective predicate clause specifying one or more conditions based on said each extent; and

computing the query, wherein computing the query includes, for each predicate clause of said predicate clauses;

sending a respective set of smart scan requests to an enhanced storage device for execution to cause said enhanced storage device to scan for rows that satisfy the one or more conditions of said each predicate clause, and

from the enhanced storage device, receiving resultant rows returned for the respective set of smart scans.

12. The one or more non-transitory storage media of claim 11, wherein the table is stored in hybrid-columnar format.

13. The one or more non-transitory storage media of claim 12, wherein said table is not indexed by a DBMS.

14. The one or more non-transitory storage media of claim 12, wherein said one or more conditions of each predicate clause of said predicate clauses are based on columns of said table, wherein said columns of said table are not indexed by a DBMS.

15. The one or more non-transitory storage media of claim 11, wherein generating the one or more tiles includes tiling the query window.

16. The one or more non-transitory storage media of claim 11, wherein generating the query includes using the extents of the one or more tiles to generate SQL “

BETWEEN”

clauses for the query.

17. The one or more non-transitory storage media of claim 11, the instructions further including instructions that, when executed by said one or more computing devices, cause, after computing the query, loading point spatial data into said table without updating an index on said table.

18. The one or more non-transitory storage media of claim 11, wherein in response to said sending a respective set of smart scan requests to an enhanced storage device, said enhanced storage device performs columnar scanning on columns stored in column-major format to find rows that satisfy said one or more conditions of said each predicate clause.

19. The one or more non-transitory storage media of claim 18, wherein at least one column of said columns is compressed.

20. The one or more non-transitory storage media of claim 19, wherein for a given set of rows of said table, said columnar scanning includes evaluating whether compressed column in said at least one column value satisfy a predicate condition without decompressing said column values.