Joekwal created FLINK-30977:
-------------------------------
Summary: flink tumbling window stream converting to pandas
dataframe not work
Key: FLINK-30977
URL: https://issues.apache.org/jira/browse/FLINK-30977
Project: Flink
Issue Type: Bug
Environment: pyflink1.15.2
Reporter: Joekwal
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.As doc mentioned, the bounded stream is supported to
convert to pandas.So what could have gone wrong?
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