Ingesting geospatial data into Elasticsearch using the Geospatial Data Abstraction Library (GDAL) offers a streamlined approach for integrating various geospatial file formats, such as shapefiles, into the Elasticsearch environment. GDAL, which can be installed through package managers or compiled from source, supports over 75 different geospatial formats and requires version 3.1 or later for compatibility with Elasticsearch 7.x. Users can connect to Elasticsearch via the command line using GDAL's ogrinfo tool and secure connections with stored credentials. While ingesting data, default settings may need adjustments, such as mapping text fields as "keyword" rather than "text" to enhance search capabilities. GDAL can generate and customize mapping files for Elasticsearch, and users are advised to modify mapping parameters for compatibility with earlier Elasticsearch versions. Additional resources and forums are available for troubleshooting and expanding knowledge on GDAL command line options, making it a versatile tool for geospatial data management in Elasticsearch.