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""" |
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Filtering and preprocessing of buildings, streets and amenities from OpenStreetMap |
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""" |
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import os |
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from egon.data import db |
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from egon.data.datasets import Dataset |
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from egon_validation import ( |
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RowCountValidation, |
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DataTypeValidation, |
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WholeTableNotNullAndNotNaNValidation, |
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SRIDUniqueNonZero |
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) |
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def execute_sql_script(script): |
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"""Execute SQL script |
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Parameters |
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---------- |
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script : str |
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Filename of script |
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""" |
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db.execute_sql_script(os.path.join(os.path.dirname(__file__), script)) |
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def preprocessing(): |
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print("Extracting buildings, amenities and shops...") |
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sql_scripts = [ |
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"osm_amenities_shops_preprocessing.sql", |
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"osm_buildings_extract.sql", |
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] |
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for script in sql_scripts: |
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execute_sql_script(script) |
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def filter_buildings(): |
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print("Filter buildings...") |
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execute_sql_script("osm_buildings_filter.sql") |
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def filter_buildings_residential(): |
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print("Filter residential buildings...") |
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execute_sql_script("osm_buildings_filter_residential.sql") |
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def extend_buildings_residential(): |
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print( |
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"Extend residential buildings by commercial/retail/office/hotel " |
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"buildings in cells with census population but without buildings..." |
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) |
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execute_sql_script("osm_buildings_extend_residential.sql") |
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def create_buildings_filtered_zensus_mapping(): |
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print( |
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"Create census mapping table for filtered buildings in populated areas..." |
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) |
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execute_sql_script("osm_buildings_filtered_zensus_mapping.sql") |
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def create_buildings_filtered_all_zensus_mapping(): |
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print("Create census mapping table for all filtered buildings...") |
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execute_sql_script("osm_buildings_filtered_all_zensus_mapping.sql") |
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def create_buildings_residential_zensus_mapping(): |
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print("Create census mapping table for residential buildings...") |
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execute_sql_script("osm_buildings_residential_zensus_mapping.sql") |
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def create_buildings_temp_tables(): |
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print("Create temp tables for buildings...") |
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execute_sql_script("osm_buildings_temp_tables.sql") |
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def extract_buildings_w_amenities(): |
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print("Extracting buildings with amenities...") |
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execute_sql_script("osm_results_buildings_w_amenities.sql") |
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def extract_buildings_wo_amenities(): |
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print("Extracting buildings without amenities...") |
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execute_sql_script("osm_results_buildings_wo_amenities.sql") |
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def extract_amenities(): |
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print("Extracting amenities...") |
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execute_sql_script("osm_results_amenities.sql") |
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def extract_buildings_filtered_amenities(): |
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print("Extracting buildings filtered with and without amenities...") |
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execute_sql_script("osm_buildings_filter_amenities.sql") |
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def extract_ways(): |
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print("Extracting ways...") |
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execute_sql_script("osm_ways_preprocessing.sql") |
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def drop_temp_tables(): |
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print("Dropping temp tables...") |
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execute_sql_script("drop_temp_tables.sql") |
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def add_metadata(): |
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pass |
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113
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class OsmBuildingsStreets(Dataset): |
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""" |
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Filter and preprocess buildings, streets and amenities from OpenStreetMap (OSM). |
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This dataset on buildings and amenities is required by several tasks in the |
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pipeline, such as the distribution of household demand profiles or PV home |
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systems to buildings. This data is enriched by population and apartments from |
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Zensus 2011. Those derived datasets and the data on streets will be used in the |
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DIstribution Network Generat0r |
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`ding0 <https://github.com/openego/ding0>`_ e.g. to cluster loads and create low |
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voltage grids. |
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*Dependencies* |
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* :py:class:`OpenStreetMap <egon.data.datasets.osm.OpenStreetMap>` |
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* :py:class:`ZensusMiscellaneous <egon.data.datasets.zensus.ZensusMiscellaneous>` |
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*Resulting Tables* |
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* openstreetmap.osm_buildings is created and filled (table has no associated python class) |
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* openstreetmap.osm_buildings_filtered is created and filled (table has no associated python class) |
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* openstreetmap.osm_buildings_residential is created and filled (table has no associated python class) |
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* openstreetmap.osm_amenities_shops_filtered is created and filled (table has no associated python class) |
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* openstreetmap.osm_buildings_with_amenities is created and filled (table has no associated python class) |
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* openstreetmap.osm_buildings_without_amenities is created and filled (table has no associated python class) |
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* openstreetmap.osm_amenities_not_in_buildings is created and filled (table has no associated python class) |
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* openstreetmap.osm_ways_preprocessed is created and filled (table has no associated python class) |
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* openstreetmap.osm_ways_with_segments is created and filled (table has no associated python class) |
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* boundaries.egon_map_zensus_buildings_filtered is created and filled (table has no associated python class) |
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* boundaries.egon_map_zensus_buildings_residential is created and filled (table has no associated python class) |
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* openstreetmap.osm_buildings is created and filled (table has no associated python class) |
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**Details and Steps** |
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* Extract buildings and filter using relevant tags, e.g. residential and |
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commercial, see script `osm_buildings_filter.sql` for the full list of tags. |
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Resulting tables: |
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* All buildings: `openstreetmap.osm_buildings` |
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* Filtered buildings: `openstreetmap.osm_buildings_filtered` |
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* Residential buildings: `openstreetmap.osm_buildings_residential` |
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* 1st step: Filter by tags (see `osm_buildings_filter_residential.sql`) |
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* 2nd step: Table is extended by finding census cells with population |
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but no residential buildings and extended by commercial/retail/office/ |
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hotel buildings (see `osm_buildings_extend_residential.sql`) since they |
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often include apartments as well. |
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* Extract amenities and filter using relevant tags, e.g. shops and restaurants, |
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see script `osm_amenities_shops_preprocessing.sql` for the full list of tags. |
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Resulting table: `openstreetmap.osm_amenities_shops_filtered` |
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* Create a mapping table for building's osm IDs to the Zensus cells the |
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building's centroid is located in. |
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Resulting tables: |
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* `boundaries.egon_map_zensus_buildings_filtered` (filtered) |
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* `boundaries.egon_map_zensus_buildings_residential` (residential only) |
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* Enrich each building by number of apartments from Zensus table |
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`society.egon_destatis_zensus_apartment_building_population_per_ha` |
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by splitting up the cell's sum equally to the buildings. In some cases, a |
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Zensus cell does not contain buildings but there's a building nearby which |
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the no. of apartments is to be allocated to. To make sure apartments are |
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allocated to at least one building, a radius of 77m is used to catch building |
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geometries. |
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* Split filtered buildings into 3 datasets using the amenities' locations: |
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temporary tables are created in script `osm_buildings_temp_tables.sql` the |
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final tables in `osm_buildings_amentities_results.sql`. |
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Resulting tables: |
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* Buildings w/ amenities: `openstreetmap.osm_buildings_with_amenities` |
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* Buildings w/o amenities: `openstreetmap.osm_buildings_without_amenities` |
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* Amenities not allocated to buildings: |
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`openstreetmap.osm_amenities_not_in_buildings` |
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* Extract streets (OSM ways) and filter using relevant tags, e.g. |
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highway=secondary, see script `osm_ways_preprocessing.sql` for the full list |
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of tags. Additionally, each way is split into its line segments and their |
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lengths is retained. |
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Resulting tables: |
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* Filtered streets: `openstreetmap.osm_ways_preprocessed` |
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* Filtered streets w/ segments: `openstreetmap.osm_ways_with_segments` |
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""" |
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#: |
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name: str = "OsmBuildingsStreets" |
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#: |
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version: str = "0.0.7" |
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def __init__(self, dependencies): |
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super().__init__( |
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name=self.name, |
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version=self.version, |
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dependencies=dependencies, |
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tasks=( |
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preprocessing, |
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{filter_buildings, filter_buildings_residential}, |
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extend_buildings_residential, |
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extract_buildings_filtered_amenities, |
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{ |
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create_buildings_filtered_zensus_mapping, |
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create_buildings_residential_zensus_mapping, |
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create_buildings_filtered_all_zensus_mapping, |
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}, |
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create_buildings_temp_tables, |
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{ |
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extract_buildings_w_amenities, |
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extract_buildings_wo_amenities, |
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extract_amenities, |
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extract_ways, |
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}, |
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drop_temp_tables, |
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add_metadata, |
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), |
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validation={ |
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"data_quality": [ |
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RowCountValidation( |
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table="boundaries.egon_map_zensus_buildings_filtered", |
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rule_id="TEST_ROW_COUNT.egon_map_zensus_buildings_filtered", |
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expected_count={"Schleswig-Holstein":1010387, |
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"Everything":28070301} |
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), |
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DataTypeValidation( |
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table="boundaries.egon_map_zensus_buildings_filtered", |
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rule_id="DATA_MULTIPLE_TYPES.egon_map_zensus_buildings_filtered", |
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column_types={"id": "integer", "grid_id": "character varying", "cell_id": "integer"} |
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), |
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WholeTableNotNullAndNotNaNValidation( |
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table="boundaries.egon_map_zensus_buildings_filtered", |
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rule_id="WHOLE_TABLE_NOT_NAN.egon_map_zensus_buildings_filtered" |
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), |
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RowCountValidation( |
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table="boundaries.egon_map_zensus_buildings_residential", |
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rule_id="ROW_COUNT.egon_map_zensus_buildings_residential", |
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expected_count={"Schleswig-Holstein":989967, |
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"Everything":27477467} |
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), |
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DataTypeValidation( |
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table="boundaries.egon_map_zensus_buildings_residential", |
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rule_id="DATA_MULTIPLE_TYPES.egon_map_zensus_buildings_residential", |
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column_types={"id": "integer", "grid_id": "character varying", "cell_id": "integer"} |
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), |
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WholeTableNotNullAndNotNaNValidation( |
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table="boundaries.egon_map_zensus_buildings_residential", |
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rule_id="WHOLE_TABLE_NOT_NAN.egon_map_zensus_buildings_residential" |
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), |
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252
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RowCountValidation( |
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253
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table="openstreetmap.osm_amenities_not_in_buildings", |
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254
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rule_id="ROW_COUNT.osm_amenities_not_in_buildings", |
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expected_count={"Schleswig-Holstein": 3142, |
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256
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"Everything": 79928} |
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257
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), |
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258
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DataTypeValidation( |
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table="openstreetmap.osm_amenities_not_in_buildings", |
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260
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rule_id="DATA_MULTIPLE_TYPES.osm_amenities_not_in_buildings", |
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column_types={ |
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"osm_id": "bigint", "amenity": "text", "name": "text", "geom_amenity": "geometry", |
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263
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"tags": "hstore", "egon_amenity_id": "integer" } |
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264
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), |
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265
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WholeTableNotNullAndNotNaNValidation( |
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266
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table="openstreetmap.osm_amenities_not_in_buildings", |
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267
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rule_id="WHOLE_TABLE_NOT_NAN.osm_amenities_not_in_buildings" |
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268
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), |
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269
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SRIDUniqueNonZero( |
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270
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table="openstreetmap.osm_amenities_not_in_buildings", |
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rule_id="SRIDUniqueNonZero.osm_amenities_not_in_buildings.geom_amenity", |
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272
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column="geom_amenity" |
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273
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), |
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274
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RowCountValidation( |
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275
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table="openstreetmap.osm_amenities_shops_filtered", |
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276
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rule_id="ROW_COUNT.osm_amenities_shops_filtered", |
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277
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expected_count={"Schleswig-Holstein": 27438, "Everything": 700315} |
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278
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), |
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279
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DataTypeValidation( |
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280
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table="openstreetmap.osm_amenities_shops_filtered", |
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281
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rule_id="DATA_MULTIPLE_TYPES.osm_amenities_shops_filtered", |
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282
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column_types={ |
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283
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"osm_id": "bigint", "amenity": "text", "name": "text", "geom_amenity": "geometry", |
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284
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"tags": "hstore", "egon_amenity_id": "integer"} |
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285
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), |
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286
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WholeTableNotNullAndNotNaNValidation( |
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287
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table="openstreetmap.osm_amenities_shops_filtered", |
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288
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rule_id="WHOLE_TABLE_NOT_NAN.osm_amenities_shops_filtered" |
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289
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), |
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290
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SRIDUniqueNonZero( |
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291
|
|
|
table="openstreetmap.osm_amenities_shops_filtered", |
|
292
|
|
|
rule_id="SRIDUniqueNonZero.osm_amenities_shops_filtered.geom_amenity", |
|
293
|
|
|
column="geom_amenity" |
|
294
|
|
|
), |
|
295
|
|
|
RowCountValidation( |
|
296
|
|
|
table="openstreetmap.osm_buildings", |
|
297
|
|
|
rule_id="ROW_COUNT.osm_buildings", |
|
298
|
|
|
expected_count={"Schleswig-Holstein": 1298230, "Everything": 34328483} |
|
299
|
|
|
), |
|
300
|
|
|
DataTypeValidation( |
|
301
|
|
|
table="openstreetmap.osm_buildings", |
|
302
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_buildings", |
|
303
|
|
|
column_types={ |
|
304
|
|
|
"osm_id": "bigint", "amenity": "text", "building": "text", "name": "text", |
|
305
|
|
|
"geom_building": "geometry", "area": "double precision", "geom_point": "geometry", |
|
306
|
|
|
"tags": "hstore", "id": "integer"} |
|
307
|
|
|
), |
|
308
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
309
|
|
|
table="openstreetmap.osm_buildings", |
|
310
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_buildings" |
|
311
|
|
|
), |
|
312
|
|
|
SRIDUniqueNonZero( |
|
313
|
|
|
table="openstreetmap.osm_buildings", |
|
314
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings.geom_building", |
|
315
|
|
|
column="geom_building" |
|
316
|
|
|
), |
|
317
|
|
|
SRIDUniqueNonZero( |
|
318
|
|
|
table="openstreetmap.osm_buildings", |
|
319
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings.geom_point", |
|
320
|
|
|
column="geom_point" |
|
321
|
|
|
), |
|
322
|
|
|
RowCountValidation( |
|
323
|
|
|
table="openstreetmap.osm_buildings_filtered", |
|
324
|
|
|
rule_id="ROW_COUNT.osm_buildings_filtered", |
|
325
|
|
|
expected_count={"Schleswig-Holstein": 1169881, "Everything": 31619905} |
|
326
|
|
|
), |
|
327
|
|
|
DataTypeValidation( |
|
328
|
|
|
table="openstreetmap.osm_buildings_filtered", |
|
329
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_buildings_filtered", |
|
330
|
|
|
column_types={ |
|
331
|
|
|
"osm_id": "bigint", "amenity": "text", "building": "text", "name": "text", |
|
332
|
|
|
"geom_building": "geometry", "area": "double precision", "geom_point": "geometry", |
|
333
|
|
|
"tags": "hstore", "id": "integer"} |
|
334
|
|
|
), |
|
335
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
336
|
|
|
table="openstreetmap.osm_buildings_filtered", |
|
337
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_buildings_filtered" |
|
338
|
|
|
), |
|
339
|
|
|
SRIDUniqueNonZero( |
|
340
|
|
|
table="openstreetmap.osm_buildings_filtered", |
|
341
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_filtered.geom_building", |
|
342
|
|
|
column="geom_building" |
|
343
|
|
|
), |
|
344
|
|
|
SRIDUniqueNonZero( |
|
345
|
|
|
table="openstreetmap.osm_buildings_filtered", |
|
346
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_filtered.geom_point", |
|
347
|
|
|
column="geom_point" |
|
348
|
|
|
), |
|
349
|
|
|
RowCountValidation( |
|
350
|
|
|
table="openstreetmap.osm_buildings_residential", |
|
351
|
|
|
rule_id="ROW_COUNT.osm_buildings_residential", |
|
352
|
|
|
expected_count={"Schleswig-Holstein": 1130929, "Everything": 30713011} |
|
353
|
|
|
), |
|
354
|
|
|
DataTypeValidation( |
|
355
|
|
|
table="openstreetmap.osm_buildings_residential", |
|
356
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_buildings_residential", |
|
357
|
|
|
column_types={ |
|
358
|
|
|
"osm_id": "bigint", "amenity": "text", "building": "text", "name": "text", |
|
359
|
|
|
"geom_building": "geometry", "area": "double precision", "geom_point": "geometry", |
|
360
|
|
|
"tags": "hstore", "id": "integer"} |
|
361
|
|
|
), |
|
362
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
363
|
|
|
table="openstreetmap.osm_buildings_residential", |
|
364
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_buildings_residential" |
|
365
|
|
|
), |
|
366
|
|
|
SRIDUniqueNonZero( |
|
367
|
|
|
table="openstreetmap.osm_buildings_residential", |
|
368
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_residential.geom_building", |
|
369
|
|
|
column="geom_building" |
|
370
|
|
|
), |
|
371
|
|
|
SRIDUniqueNonZero( |
|
372
|
|
|
table="openstreetmap.osm_buildings_residential", |
|
373
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_residential.geom_point", |
|
374
|
|
|
column="geom_point" |
|
375
|
|
|
), |
|
376
|
|
|
RowCountValidation( |
|
377
|
|
|
table="openstreetmap.osm_buildings_synthetic", |
|
378
|
|
|
rule_id="ROW_COUNT.osm_buildings_synthetic", |
|
379
|
|
|
expected_count={"Schleswig-Holstein": 9498, "Everything": 706911} |
|
380
|
|
|
), |
|
381
|
|
|
DataTypeValidation( |
|
382
|
|
|
table="openstreetmap.osm_buildings_synthetic", |
|
383
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_buildings_synthetic", |
|
384
|
|
|
column_types={ |
|
385
|
|
|
"id": "character varying", "cell_id": "character varying", "geom_building": "geometry", |
|
386
|
|
|
"geom_point": "geometry", "n_amenities_inside": "integer", "building": "character varying", |
|
387
|
|
|
"area": "real"} |
|
388
|
|
|
), |
|
389
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
390
|
|
|
table="openstreetmap.osm_buildings_synthetic", |
|
391
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_buildings_synthetic" |
|
392
|
|
|
), |
|
393
|
|
|
SRIDUniqueNonZero( |
|
394
|
|
|
table="openstreetmap.osm_buildings_synthetic", |
|
395
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_synthetic.geom_building", |
|
396
|
|
|
column="geom_building" |
|
397
|
|
|
), |
|
398
|
|
|
SRIDUniqueNonZero( |
|
399
|
|
|
table="openstreetmap.osm_buildings_synthetic", |
|
400
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_synthetic.geom_point", |
|
401
|
|
|
column="geom_point" |
|
402
|
|
|
), |
|
403
|
|
|
RowCountValidation( |
|
404
|
|
|
table="openstreetmap.osm_buildings_with_amenities", |
|
405
|
|
|
rule_id="ROW_COUNT.osm_buildings_with_amenities", |
|
406
|
|
|
expected_count={"Schleswig-Holstein": 24314, "Everything": 621385} |
|
407
|
|
|
), |
|
408
|
|
|
DataTypeValidation( |
|
409
|
|
|
table="openstreetmap.osm_buildings_with_amenities", |
|
410
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_buildings_with_amenities", |
|
411
|
|
|
column_types={ |
|
412
|
|
|
"osm_id_amenity": "bigint", |
|
413
|
|
|
"osm_id_building": "bigint", |
|
414
|
|
|
"id": "integer", |
|
415
|
|
|
"building": "text", |
|
416
|
|
|
"area": "double precision", |
|
417
|
|
|
"geom_building": "geometry", |
|
418
|
|
|
"geom_amenity": "geometry", |
|
419
|
|
|
"geom_point": "geometry", |
|
420
|
|
|
"name": "text", |
|
421
|
|
|
"tags_building": "hstore", |
|
422
|
|
|
"tags_amenity": "hstore", |
|
423
|
|
|
"n_amenities_inside": "bigint", |
|
424
|
|
|
"apartment_count": "numeric"} |
|
425
|
|
|
), |
|
426
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
427
|
|
|
table="openstreetmap.osm_buildings_with_amenities", |
|
428
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_buildings_with_amenities" |
|
429
|
|
|
), |
|
430
|
|
|
SRIDUniqueNonZero( |
|
431
|
|
|
table="openstreetmap.osm_buildings_with_amenities", |
|
432
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_with_amenities.geom_building", |
|
433
|
|
|
column="geom_building" |
|
434
|
|
|
), |
|
435
|
|
|
SRIDUniqueNonZero( |
|
436
|
|
|
table="openstreetmap.osm_buildings_with_amenities", |
|
437
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_with_amenities.geom_amenity", |
|
438
|
|
|
column="geom_amenity" |
|
439
|
|
|
), |
|
440
|
|
|
SRIDUniqueNonZero( |
|
441
|
|
|
table="openstreetmap.osm_buildings_with_amenities", |
|
442
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_with_amenities.geom_point", |
|
443
|
|
|
column="geom_point" |
|
444
|
|
|
), |
|
445
|
|
|
RowCountValidation( |
|
446
|
|
|
table="openstreetmap.osm_buildings_without_amenities", |
|
447
|
|
|
rule_id="ROW_COUNT.osm_buildings_without_amenities", |
|
448
|
|
|
expected_count={"Schleswig-Holstein": 1152146, "Everything": 31151277} |
|
449
|
|
|
), |
|
450
|
|
|
DataTypeValidation( |
|
451
|
|
|
table="openstreetmap.osm_buildings_without_amenities", |
|
452
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_buildings_without_amenities", |
|
453
|
|
|
column_types={ |
|
454
|
|
|
"osm_id": "bigint", |
|
455
|
|
|
"id": "integer", |
|
456
|
|
|
"building": "text", |
|
457
|
|
|
"area": "double precision", |
|
458
|
|
|
"geom_building": "geometry", |
|
459
|
|
|
"geom_point": "geometry", |
|
460
|
|
|
"name": "text", |
|
461
|
|
|
"tags": "hstore", |
|
462
|
|
|
"apartment_count": "numeric"} |
|
463
|
|
|
), |
|
464
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
465
|
|
|
table="openstreetmap.osm_buildings_without_amenities", |
|
466
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_buildings_without_amenities" |
|
467
|
|
|
), |
|
468
|
|
|
SRIDUniqueNonZero( |
|
469
|
|
|
table="openstreetmap.osm_buildings_without_amenities", |
|
470
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_without_amenities.geom_building", |
|
471
|
|
|
column="geom_building" |
|
472
|
|
|
), |
|
473
|
|
|
SRIDUniqueNonZero( |
|
474
|
|
|
table="openstreetmap.osm_buildings_without_amenities", |
|
475
|
|
|
rule_id="SRIDUniqueNonZero.osm_buildings_without_amenities.geom_point", |
|
476
|
|
|
column="geom_point" |
|
477
|
|
|
), |
|
478
|
|
|
RowCountValidation( |
|
479
|
|
|
table="openstreetmap.osm_ways_with_segments", |
|
480
|
|
|
rule_id="ROW_COUNT.osm_ways_with_segments", |
|
481
|
|
|
expected_count={"Schleswig-Holstein": 263427, "Everything": 6716196} |
|
482
|
|
|
), |
|
483
|
|
|
DataTypeValidation( |
|
484
|
|
|
table="openstreetmap.osm_ways_with_segments", |
|
485
|
|
|
rule_id="DATA_MULTIPLE_TYPES.osm_ways_with_segments", |
|
486
|
|
|
column_types={ |
|
487
|
|
|
"osm_id": "bigint", |
|
488
|
|
|
"nodes": "bigint[]", |
|
489
|
|
|
"highway": "text", |
|
490
|
|
|
"geom": "geometry", |
|
491
|
|
|
"length_segments": "double precision[]"} |
|
492
|
|
|
), |
|
493
|
|
|
WholeTableNotNullAndNotNaNValidation( |
|
494
|
|
|
table="openstreetmap.osm_ways_with_segments", |
|
495
|
|
|
rule_id="WHOLE_TABLE_NOT_NAN.osm_ways_with_segments" |
|
496
|
|
|
), |
|
497
|
|
|
SRIDUniqueNonZero( |
|
498
|
|
|
table="openstreetmap.osm_ways_with_segments", |
|
499
|
|
|
rule_id="SRIDUniqueNonZero.osm_ways_with_segments.geom", |
|
500
|
|
|
column="geom" |
|
501
|
|
|
), |
|
502
|
|
|
] |
|
503
|
|
|
}, |
|
504
|
|
|
on_validation_failure="continue" |
|
505
|
|
|
) |
|
506
|
|
|
|
openego /
eGon-data
