[FLINK-30977] flink tumbling window stream converting to pandas dataframe not work

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Component/s: API / Python

Environment

pyflink1.15.2

• Assignee: Unassigned
• Reporter: Joekwal
• Created: 09/Feb/23 06:50
• Updated: 02/Mar/23 09:04
• Resolved: 02/Mar/23 09:04

Description

I want to know if tumbling window supported to convert to pandas?

code... #create env

kafka_src = """
CREATE TABLE if not exists `kafka_src` (
...
`event_time` as CAST(`end_time` as TIMESTAMP(3)),
WATERMARK FOR event_time as event_time - INTERVAL '5' SECOND
)
with (
'connector' = 'kafka',
'topic' = 'topic',
'properties.bootstrap.servers' = '***',
'properties.group.id' = '***',
'scan.startup.mode' = 'earliest-offset',
'value.format' = 'debezium-json'
);
"""  
  
t_env.execute_sql(kafka_src)
table = st_env.sql_query("SELECT columns,`event_time`  \
    FROM TABLE(TUMBLE(TABLE table_name, DESCRIPTOR(event_time), INTERVAL '1' MINUTES))")

table.execute().print()  #could print the result

df = table.to_pandas()

#schema is correct!
schema = DataTypes.ROW([DataTypes.FIELD("column1", DataTypes.STRING()),
                        .......
                            ])
table = st_env.from_pandas(df,schema=schema)
st_env.create_temporary_view("view_table",table)

st_env.sql_query("select * from view_table").execute().print() # Not work!Can't print the result 

Tumbling window stream from kafka source convert to pandas dataframe and it can't print the result.The schema is right.I have tested in another job with using batch stream from jdbc source.It can print the result.The only different thing is the input stream.Is tumbling windows supported to convert to Pandas?