diff --git a/RxMix/migrate_rxnav.py b/RxMix/migrate_rxnav.py
deleted file mode 100644
index 05076e3..0000000
--- a/RxMix/migrate_rxnav.py
+++ /dev/null
@@ -1,147 +0,0 @@
-import psycopg2 as psyco
-import pymysql
-from dotenv import load_dotenv
-import os
-
-
-##############NOTE
-'''
-
-
-mariadb --mariadb.connect--> incrementally fetched dict --psycopg2--> postgres
-
-I will have the ability to reduce memory usage and simplify what I am doing.
-
-
-'''
-
-
-####################CONSTANTS#################################
-
-#SPLIT_RE = re.compile("(\w+)(\((\d+)\))?")
-
-
-###################QUERIES#########################
-
-QUERY_columns_from_Information_Schema = """
-SELECT *
-FROM INFORMATION_SCHEMA.columns
-WHERE 
-    TABLE_SCHEMA=%s
-    and 
-    TABLE_NAME=%s
-;
-"""
-
-
-QUERY_data_from_table = "SELECT * FROM {schema}.{table} limit 10"
-
-
-########FUNCTIONS#################
-
-
-def convert_column(d):
-    """
-    Given the metadata about a column in mysql, make the portion of the `create table` 
-    statement that corresponds to that column in postgres
-    """
-    #extract
-    data_type = d["DATA_TYPE"]
-    position = d["ORDINAL_POSITION"]
-    table_name = d["TABLE_NAME"]
-    d["IS_NULLABLE"] = "NOT NULL" if d["IS_NULLABLE"] == "NO" else ""
-
-    #convert
-    if data_type=="varchar":
-        string = "{COLUMN_NAME} character varying({CHARACTER_MAXIMUM_LENGTH}) COLLATE pg_catalog.\"default\" {IS_NULLABLE}".format(**d)
-    elif data_type=="char":
-        string = "{COLUMN_NAME} character({CHARACTER_MAXIMUM_LENGTH}) COLLATE pg_catalog.\"default\" {IS_NULLABLE}".format(**d)
-    elif data_type=="tinyint":
-        string = "{COLUMN_NAME} smallint {IS_NULLABLE}".format(**d)
-    elif data_type=="decimal":
-        string = "{COLUMN_NAME} numeric({NUMERIC_PRECISION},{NUMERIC_SCALE}) {IS_NULLABLE}".format(**d)
-    elif data_type=="int":
-        string = "{COLUMN_NAME} integer {IS_NULLABLE},".format(**d)
-    elif data_type=="enum":
-        string = None
-    elif data_type=="text":
-        string = None
-
-    return string
-
-if __name__ == "__main__":
-    #process environment variables
-    load_dotenv()
-    POSTGRES_HOST = os.getenv("POSTGRES_HOST")
-    POSTGRES_DB =  os.getenv("POSTGRES_DB")
-    POSTGRES_USER =  os.getenv("POSTGRES_USER")
-    POSTGRES_PASSWD =  os.getenv("POSTGRES_PASSWD")
-    POSTGRES_PORT =  os.getenv("POSTGRES_PORT")
-
-    MARIADB_HOST = os.getenv("MARIADB_HOST")
-    MARIADB_DB = os.getenv("MARIADB_DB")
-    MARIADB_USER = os.getenv("MARIADB_USER")
-    MARIADB_PASSWD = os.getenv("MARIADB_PASSWD")
-    MARIADB_PORT = os.getenv("MARIADB_PORT")
-
-    #get & convert datatypes for each table of interest
-    tables_of_interest = [
-            "rxnorm_props"
-            ,"rxnorm_relations"
-            ,"ALLNDC_HISTORY"
-            ,"ALLRXCUI_HISTORY"
-            ]
-    mschema="rxnorm_current"
-    pschema="rxnorm_migrated"
-
-
-    with pymysql.connect(
-        user=MARIADB_USER
-        ,password=MARIADB_PASSWD
-        ,host=MARIADB_HOST
-        ,port=MARIADB_PORT
-        ,database=MARIADB_DB
-        ,cursorclass=pymysql.cursors.DictCursor
-    ) as mcon, psyco.connect(
-        user=POSTGRES_USER
-        ,password=POSTGRES_PASSWD
-        ,host=POSTGRES_HOST
-        ,port=POSTGRES_PORT
-        ,database=POSTGRES_DB
-    ) as pcon:
-        with mcon.cursor() as mcurse, pcon.cursor() as pcurse:
-            for table in tables_of_interest: #create equivalent table in postgres
-                continue
-                q = QUERY_columns_from_Information_Schema
-
-                mcurse.execute(q,[mschema,table])
-
-                columns = [convert_column(a) for a in mcurse.fetchall() ]
-                column_sql = ",\n".join(columns)
-                
-                #create a header and footer
-                header="CREATE TABLE IF NOT EXISTS {schema}.{table_name}\n(".format(schema=pschema, table_name=table)
-                footer=");"
-
-                #CREATE TABLE
-                create_table_statement = "\n".join([header,column_sql,footer])
-                pcurse.execute(create_table_statement)
-                
-                #extract data from mysql
-                #
-        
-        with mcon.cursor() as mcurse, pcon.cursor() as pcurse:
-            for table in tables_of_interest: 
-                mcurse.execute("select * from rxnorm_current.{table} limit 10".format(table=table))
-                print(mcurse.fetchone())
-
-
-
-
-        
-
-
-
-            
-        
-