@szymon_dybczak 

I am experimenting to see if there is a way for me to create an external table from files written into unity catalog volume. I tried the following but it did not work.

# COMMAND ----------
# DBTITLE 1, Daily Fetch and Write 

# sample daily fetch from API call and write to <catlog>.<schema>.<volume>.<folder>
data = [
    {
        'id':1,
        'name':'John Doe',
        'age':20
    },
        {
        'id':2,
        'name':'Jane Doe',
        'age':30
    }
]
df = spark.createDataFrame(data)

# write files to volume <Catalog>- workspace; <schema> db_bronze; <volume> volume; <folder> test_01 to store daily fetch from API
df.write\
    .format('delta')\
    .mode('append')\
    .option('mergeSchema','true')\
    .clusterBy('id')\
    .save('/Volumes/workspace/db_bronze/volume/test_01')
	

# COMMAND ----------
# DBTITLE 2, Test Read from Volume

# Reading successful


location = 'dbfs:/Volumes/workspace/db_bronze/volume/test_01/'

df = spark.read.format('delta').load(location)

display(df)


# COMMAND ----------
# DBTITLE 3, Create External Table

%sql
/*not successful*/
CREATE TABLE IF NOT EXISTS  workspace.db_bronze.people(id long,name string,age long)
using DELTA
location 'dbfs:/Volumes/workspace/db_bronze/volume/test_01/'

I am not sure what am I doing wrong here.