pyspark : Spark Streaming via socket - pyspark

Question

I am trying to read the datastream from the socket (ps.pndsn.com) and writing it into the temp_table for further processing but currently, issue I am facing is that temp_table which I created as part of writeStream is empty even though streaming is happening at real-time. So looking for help in this regard.
Below is the code snippet :
# Create DataFrame representing the stream of input streamingDF from connection to ps.pndsn.com:9999
streamingDF = spark \
.readStream \
.format("socket") \
.option("host", "ps.pndsn.com") \
.option("port", 9999) \
.load()
# Is this DF actually a streaming DF?
streamingDF.isStreaming
spark.conf.set("spark.sql.shuffle.partitions", "2") # keep the size of shuffles small
query = (
streamingDF
.writeStream
.format("memory")
.queryName("temp_table") # temp_table = name of the in-memory table
.outputMode("Append") # Append = OutputMode in which only the new rows in the streaming DataFrame/Dataset will be written to the sink
.start()
)
Streaming output :
{'channel': 'pubnub-sensor-network',
'message': {'ambient_temperature': '1.361',
'humidity': '81.1392',
'photosensor': '758.82',
'radiation_level': '200',
'sensor_uuid': 'probe-84d85b75',
'timestamp': 1581332619},
'publisher': None,
'subscription': None,
'timetoken': 15813326199534409,
'user_metadata': None}
The output of the temp_table is empty.