mirror of
https://github.com/pgpointcloud/pointcloud.git
synced 2025-12-08 20:36:04 +00:00
294 lines
11 KiB
SQL
294 lines
11 KiB
SQL
CREATE EXTENSION pointcloud;
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SELECT PC_Version();
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INSERT INTO pointcloud_formats (pcid, srid, schema)
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VALUES (1, 0,
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'<?xml version="1.0" encoding="UTF-8"?>
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<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
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<pc:dimension>
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<pc:position>1</pc:position>
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<pc:size>4</pc:size>
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<pc:description>X coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
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<pc:name>X</pc:name>
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<pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension>
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<pc:position>2</pc:position>
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<pc:size>4</pc:size>
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<pc:description>Y coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
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<pc:name>Y</pc:name>
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<pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension>
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<pc:position>3</pc:position>
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<pc:size>4</pc:size>
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<pc:description>Z coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
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<pc:name>Z</pc:name>
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<pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension>
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<pc:position>4</pc:position>
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<pc:size>2</pc:size>
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<pc:description>The intensity value is the integer representation of the pulse return magnitude. This value is optional and system specific. However, it should always be included if available.</pc:description>
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<pc:name>Intensity</pc:name>
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<pc:interpretation>uint16_t</pc:interpretation>
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<pc:scale>1</pc:scale>
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</pc:dimension>
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<pc:metadata>
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<Metadata name="compression">none</Metadata>
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<Metadata name="ght_xmin"></Metadata>
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<Metadata name="ght_ymin"></Metadata>
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<Metadata name="ght_xmax"></Metadata>
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<Metadata name="ght_ymax"></Metadata>
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<Metadata name="ght_keylength"></Metadata>
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<Metadata name="ght_depth"></Metadata>
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<Metadata name="spatialreference" type="id">4326</Metadata>
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</pc:metadata>
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</pc:PointCloudSchema>'
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),
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(3, 0,
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'<?xml version="1.0" encoding="UTF-8"?>
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<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
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<pc:dimension>
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<pc:position>1</pc:position>
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<pc:size>4</pc:size>
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<pc:description>X coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
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<pc:name>X</pc:name>
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<pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension>
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<pc:position>2</pc:position>
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<pc:size>4</pc:size>
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<pc:description>Y coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
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<pc:name>Y</pc:name>
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<pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension>
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<pc:position>3</pc:position>
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<pc:size>4</pc:size>
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<pc:description>Z coordinate as a long integer. You must use the scale and offset information of the header to determine the double value.</pc:description>
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<pc:name>Z</pc:name>
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<pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension>
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<pc:position>4</pc:position>
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<pc:size>2</pc:size>
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<pc:description>The intensity value is the integer representation of the pulse return magnitude. This value is optional and system specific. However, it should always be included if available.</pc:description>
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<pc:name>Intensity</pc:name>
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<pc:interpretation>uint16_t</pc:interpretation>
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<pc:scale>1</pc:scale>
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</pc:dimension>
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<pc:metadata>
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<Metadata name="compression">dimensional</Metadata>
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<Metadata name="spatialreference" type="id">4326</Metadata>
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</pc:metadata>
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</pc:PointCloudSchema>'
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)
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,(10, 0, -- All (signed) interpretations, uncompressed
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'<?xml version="1.0" encoding="UTF-8"?>
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<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
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<pc:dimension> <pc:position>1</pc:position> <pc:name>x</pc:name>
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<pc:size>1</pc:size> <pc:interpretation>int8_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>2</pc:position> <pc:name>y</pc:name>
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<pc:size>2</pc:size> <pc:interpretation>int8_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>3</pc:position> <pc:name>i2</pc:name>
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<pc:size>2</pc:size> <pc:interpretation>int16_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>4</pc:position> <pc:name>i4</pc:name>
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<pc:size>4</pc:size> <pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>5</pc:position> <pc:name>i8</pc:name>
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<pc:size>8</pc:size> <pc:interpretation>int64_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>6</pc:position> <pc:name>f4</pc:name>
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<pc:size>4</pc:size> <pc:interpretation>float</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>7</pc:position> <pc:name>f8</pc:name>
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<pc:size>8</pc:size> <pc:interpretation>double</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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</pc:PointCloudSchema>'
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)
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,(11, 0, -- All (signed) interpretations, dimensionally-compressed
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'<?xml version="1.0" encoding="UTF-8"?>
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<pc:PointCloudSchema xmlns:pc="http://pointcloud.org/schemas/PC/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
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<pc:dimension> <pc:position>1</pc:position> <pc:name>x</pc:name>
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<pc:size>1</pc:size> <pc:interpretation>int8_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>2</pc:position> <pc:name>y</pc:name>
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<pc:size>2</pc:size> <pc:interpretation>int8_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>3</pc:position> <pc:name>i2</pc:name>
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<pc:size>2</pc:size> <pc:interpretation>int16_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>4</pc:position> <pc:name>i4</pc:name>
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<pc:size>4</pc:size> <pc:interpretation>int32_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>5</pc:position> <pc:name>i8</pc:name>
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<pc:size>8</pc:size> <pc:interpretation>int64_t</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>6</pc:position> <pc:name>f4</pc:name>
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<pc:size>4</pc:size> <pc:interpretation>float</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:dimension> <pc:position>7</pc:position> <pc:name>f8</pc:name>
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<pc:size>8</pc:size> <pc:interpretation>double</pc:interpretation>
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<pc:scale>0.01</pc:scale>
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</pc:dimension>
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<pc:metadata>
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<Metadata name="compression">dimensional</Metadata>
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</pc:metadata>
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</pc:PointCloudSchema>'
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)
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;
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CREATE TABLE IF NOT EXISTS pt_test (
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pt PCPOINT(1)
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);
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\d pt_test
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DELETE FROM pt_test;
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INSERT INTO pt_test (pt) VALUES ('00000000020000000100000002000000030004');
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INSERT INTO pt_test (pt) VALUES ('00000000010000000100000002000000030004');
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INSERT INTO pt_test (pt) VALUES ('00000000010000000200000003000000030005');
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INSERT INTO pt_test (pt) VALUES ('00000000010000000300000004000000030006');
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SELECT PC_Get(pt, 'Intensity') FROM pt_test;
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SELECT Sum(PC_Get(pt, 'y')) FROM pt_test;
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SELECT PC_Get(pt) FROM pt_test;
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SELECT PC_AsText(pt) FROM pt_test;
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SELECT PC_AsText(PC_Patch(pt)) FROM pt_test;
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SELECT PC_AsText(PC_Explode(PC_Patch(pt))) FROM pt_test;
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SELECT Sum(PC_MemSize(pt)) FROM pt_test;
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CREATE TABLE IF NOT EXISTS pa_test (
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pa PCPATCH(1)
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);
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\d pa_test
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DELETE FROM pa_test;
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INSERT INTO pa_test (pa) VALUES ('0000000002000000000000000200000002000000030000000500060000000200000003000000050008');
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INSERT INTO pa_test (pa) VALUES ('0000000001000000000000000200000002000000030000000500060000000200000003000000050008');
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INSERT INTO pa_test (pa) VALUES ('000000000100000000000000020000000600000007000000050006000000090000000A00000005000A');
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INSERT INTO pa_test (pa) VALUES ('000000000100000000000000020000000600000007000000050006000000090000000A00000005000A');
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INSERT INTO pa_test (pa) VALUES ('000000000100000000000000020000000600000007000000050006000000090000000A00000005000A');
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SELECT PC_Uncompress(pa) FROM pa_test LIMIT 1;
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SELECT PC_AsText(pa) FROM pa_test;
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SELECT PC_Envelope(pa) from pa_test;
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SELECT PC_AsText(PC_Union(pa)) FROM pa_test;
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SELECT sum(PC_NumPoints(pa)) FROM pa_test;
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CREATE TABLE IF NOT EXISTS pa_test_dim (
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pa PCPATCH(3)
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);
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\d pa_test_dim
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INSERT INTO pa_test_dim (pa) VALUES ('0000000003000000000000000200000002000000030000000500060000000200000003000000050008');
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INSERT INTO pa_test_dim (pa) VALUES ('000000000300000000000000020000000600000007000000050006000000090000000A00000005000A');
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INSERT INTO pa_test_dim (pa) VALUES ('0000000003000000000000000200000002000000030000000500060000000200000003000000050003');
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INSERT INTO pa_test_dim (pa) VALUES ('0000000003000000000000000200000002000000030000000500060000000200000003000000050001');
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SELECT Sum(PC_NumPoints(pa)) FROM pa_test_dim;
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SELECT Sum(PC_MemSize(pa)) FROM pa_test_dim;
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SELECT Sum(PC_PatchMax(pa,'x')) FROM pa_test_dim;
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SELECT Sum(PC_PatchMin(pa,'x')) FROM pa_test_dim;
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DELETE FROM pa_test_dim;
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INSERT INTO pa_test_dim (pa)
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SELECT PC_Patch(PC_MakePoint(3, ARRAY[x,y,z,intensity]))
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FROM (
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SELECT
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-127+a/100.0 AS x,
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45+a/100.0 AS y,
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1.0*a AS z,
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a/10 AS intensity,
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a/400 AS gid
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FROM generate_series(1,1600) AS a
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) AS values GROUP BY gid;
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SELECT Sum(PC_NumPoints(pa)) FROM pa_test_dim;
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SELECT Sum(PC_MemSize(pa)) FROM pa_test_dim;
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SELECT Max(PC_PatchMax(pa,'x')) FROM pa_test_dim;
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SELECT Min(PC_PatchMin(pa,'x')) FROM pa_test_dim;
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SELECT Min(PC_PatchMin(pa,'z')) FROM pa_test_dim;
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SELECT PC_Summary(pa) summary FROM pa_test_dim order by 1 limit 1;
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--DROP TABLE pts_collection;
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DROP TABLE pt_test;
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DROP TABLE pa_test;
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DROP TABLE pa_test_dim;
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-- See https://github.com/pgpointcloud/pointcloud/issues/44
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SELECT PC_AsText(PC_Patch(ARRAY[PC_MakePoint(3, ARRAY[-127, 45, 124.0, 4.0])]::pcpoint[]));
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SELECT 'pc_id1', PC_PCId(PC_Patch(PC_MakePoint(3, ARRAY[-1,-2,-3,-4])));
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SELECT 'pc_id2', PC_PCId(PC_MakePoint(3, ARRAY[-1,-2,-3,-4]));
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-- Test PC_Compress
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-- Also regression tests for
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-- https://github.com/pgpointcloud/pointcloud/issues/69
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WITH points AS (
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SELECT ARRAY[
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(2^08/256.0*v)*0.01, -- int8_t
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-(2^08/256.0*v)*0.01, -- int8_t
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(2^16/256.0*v)*0.01, -- int16_t
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(2^32/256.0*v)*0.01, -- int32_t
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(2^64/256.0*v)*0.01, -- int64_t
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(2^32/256.0*v)*0.01, -- float
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(2^64/256.0*v)*0.01 -- double
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] a, v/16 v
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FROM generate_series(-127,127,4) v
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), p1 AS (
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SELECT v, PC_Patch(PC_MakePoint(10, a)) p from points -- uncompressed
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GROUP BY v
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)
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SELECT 'compr' test,
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p1.v, compr, sc,
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PC_AsText(p1.p) =
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PC_AsText(PC_Compress(p1.p, compr,
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array_to_string(
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array_fill(sc,ARRAY[7]),
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','
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)
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)) ok
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FROM p1, ( values
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('dimensional','rle'),
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('dimensional','zlib'),
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('dimensional','sigbits'),
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('dimensional','auto')
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-- ,('ght',null) -- fails due to https://github.com/pgpointcloud/pointcloud/issues/35
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) dimcompr(compr,sc)
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WHERE NOT ok
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ORDER BY compr,sc,v;
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TRUNCATE pointcloud_formats;
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