| Dear all, We are trying to use `GeoMesa` from `PySpark`. With the following code SQL function such as ST_makeBBox is not defined at SQL level. We use the following python code:
```
import geomesa_pyspark conf = geomesa_pyspark.configure(
jars=['/mnt/geomesa/geomesa_spark/geomesa-accumulo-spark-runtime_2.11-2.0.2.jar','/mnt/geomesa/geomesa_spark/geomesa-spark-core_2.11-2.0.2.jar','/mnt/geomesa/geomesa_spark/geomesa-spark-sql_2.11-2.0.2.jar','/mnt/geomesa/geomesa_spark/geomesa-spark-jts_2.11-2.0.2.jar'],
packages='geomesa_pyspark','pytz',
spark_home='/usr/lib/spark/').\
setAppName('GeoMesa PySpark') conf.get('spark.master') import findspark
findspark.init() from pyspark.sql import SparkSession
sparkSession = SparkSession.builder.config(conf=conf).enableHiveSupport().getOrCreate() sqlQuery = "select st_makeBBOX(40.0, 50.0, 50.0, 60.0)"
sparkSession.sql(sqlQuery)
``` It gives:
```
Py4JJavaError: An error occurred while calling o439.sql.
: org.apache.spark.sql.AnalysisException: Undefined function: 'st_makeBBOX'. This function is neither a registered temporary function nor a permanent function registered in the database 'default'.; line 1 pos 7
``` In Scala we are able to have those functions loaded by doing:
```
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
org.apache.spark.sql.SQLTypes.init(sqlContext)
``` What is the equivalent for PySpark? Or what should be imported? |
Major 
