topic Re: How to limit records retrieved from feature service with ArcGIS API for Python in ArcGIS API for Python Questions https://community.esri.com/t5/arcgis-api-for-python-questions/how-to-limit-records-retrieved-from-feature/m-p/833743#M3283 <HTML><HEAD></HEAD><BODY><P>Hi, Kerry</P><P></P><P>For some reason you have to add return_all_records=False to the query.<BR /><BR /></P><P><IMG 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" /></P></BODY></HTML> Mon, 30 Sep 2019 13:20:23 GMT HåkonDreyer 2019-09-30T13:20:23Z How to limit records retrieved from feature service with ArcGIS API for Python https://community.esri.com/t5/arcgis-api-for-python-questions/how-to-limit-records-retrieved-from-feature/m-p/833742#M3282 <HTML><HEAD></HEAD><BODY><P>I'm trying to limit the records that get returned from a query.&nbsp;&nbsp;It looks like result_record_count should work but I'm still getting all 2998 features.&nbsp; Hoping someone can help.&nbsp; Here's the code I'm using</P><P><IMG class="image-1 jive-image" src="https://community.esri.com/legacyfs/online/460701_pastedImage_1.png" /></P></BODY></HTML> Fri, 27 Sep 2019 20:54:30 GMT https://community.esri.com/t5/arcgis-api-for-python-questions/how-to-limit-records-retrieved-from-feature/m-p/833742#M3282 KerryHalligan1 2019-09-27T20:54:30Z Re: How to limit records retrieved from feature service with ArcGIS API for Python https://community.esri.com/t5/arcgis-api-for-python-questions/how-to-limit-records-retrieved-from-feature/m-p/833743#M3283 <HTML><HEAD></HEAD><BODY><P>Hi, Kerry</P><P></P><P>For some reason you have to add return_all_records=False to the query.<BR /><BR /></P><P><IMG 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" /></P></BODY></HTML> Mon, 30 Sep 2019 13:20:23 GMT https://community.esri.com/t5/arcgis-api-for-python-questions/how-to-limit-records-retrieved-from-feature/m-p/833743#M3283 HåkonDreyer 2019-09-30T13:20:23Z