[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-23 UTC."],[],[],null,["# ee.FeatureCollection.loadBigQueryTable\n\nReads data from a BigQuery table and presents the results as a FeatureCollection.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------------------------------------------|-------------------|\n| `ee.FeatureCollection.loadBigQueryTable(table, `*geometryColumn*`)` | FeatureCollection |\n\n| Argument | Type | Details |\n|------------------|-----------------------|----------------------------------------------------------------------------------------------------------------------------------|\n| `table` | String | Path to BigQuery table in a \\`project.dataset.table\\` format. |\n| `geometryColumn` | String, default: null | The name of the column to use as the main feature geometry. If not specified, the first column with GEOGRAPHY type will be used. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// Load stations from the New York Subway System.\nvar features = ee.FeatureCollection.loadBigQueryTable({\n table: 'bigquery-public-data.new_york_subway.stations',\n geometryColumn: 'station_geom',\n});\n\n// Display all relevant features on the map.\nMap.setCenter(-73.90, 40.73, 11);\nMap.addLayer(features,\n {'color': 'black'},\n 'Stations from New York Subway System');\n\n// Print all stations in the \"Astoria\" line.\nvar line = features.filter(ee.Filter.eq('line', 'Astoria'));\nprint(line);\nMap.addLayer(line,\n {'color': 'yellow'},\n 'Astoria line');\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# Load stations from the New York Subway System.\nfeatures = ee.FeatureCollection.loadBigQueryTable(\n table=\"bigquery-public-data.new_york_subway.stations\",\n geometryColumn=\"station_geom\")\n\n# Display all relevant features on the map.\nm = geemap.Map()\nm.set_center(-73.90, 40.73, 11)\nm.add_layer(\n features, {'color': 'black'}, 'Stations from New York Subway System')\n\n# Print all stations in the \"Astoria\" line.\nline = features.filter(ee.Filter.eq('line', 'Astoria'))\ndisplay(line)\nm.add_layer(line, {'color': 'yellow'}, 'Astoria line')\nm\n```"]]
