soumilshah1995 opened a new issue, #8031:
URL: https://github.com/apache/hudi/issues/8031

   Hello Good Evening 
   i am trying to experiment with Timestamp based key generator following docx 
on hudi websites 
   
   ### Code 
   ```
   try:
   
       import os
       import sys
       import uuid
   
       import pyspark
       from pyspark.sql import SparkSession
       from pyspark import SparkConf, SparkContext
       from pyspark.sql.functions import col, asc, desc
       from pyspark.sql.functions import col, to_timestamp, 
monotonically_increasing_id, to_date, when
       from pyspark.sql.functions import *
       from pyspark.sql.types import *
       from datetime import datetime
       from functools import reduce
       from faker import Faker
   
   
   except Exception as e:
       pass
   
   SUBMIT_ARGS = "--packages org.apache.hudi:hudi-spark3.3-bundle_2.12:0.12.1 
pyspark-shell"
   os.environ["PYSPARK_SUBMIT_ARGS"] = SUBMIT_ARGS
   os.environ['PYSPARK_PYTHON'] = sys.executable
   os.environ['PYSPARK_DRIVER_PYTHON'] = sys.executable
   
   spark = SparkSession.builder \
       .config('spark.serializer', 
'org.apache.spark.serializer.KryoSerializer') \
       .config('className', 'org.apache.hudi') \
       .config('spark.sql.hive.convertMetastoreParquet', 'false') \
       .getOrCreate()
   
   
   db_name = "hudidb"
   table_name = "hudi_table"
   
   recordkey = 'uuid'
   precombine = 'date'
   
   path = f"file:///C:/tmp/{db_name}/{table_name}"
   
   method = 'upsert'
   table_type = "COPY_ON_WRITE"  # COPY_ON_WRITE | MERGE_ON_READ
   
   hudi_options = {
       'hoodie.table.name': table_name,
       'hoodie.datasource.write.recordkey.field': recordkey,
       'hoodie.datasource.write.table.name': table_name,
       'hoodie.datasource.write.operation': method,
       'hoodie.datasource.write.precombine.field': precombine,
   
       'hoodie.datasource.write.partitionpath.field': 
'year:SIMPLE,month:SIMPLE,day:SIMPLE',
       
       "hoodie-conf hoodie.datasource.write.partitionpath.field":"date",
       'hoodie.datasource.write.keygenerator.class': 
'org.apache.hudi.keygen.TimestampBasedKeyGenerator',
       'hoodie.deltastreamer.keygen.timebased.timestamp.type': 'DATE_STRING',
       'hoodie.deltastreamer.keygen.timebased.timezone':"GMT+8:00",
       'hoodie.deltastreamer.keygen.timebased.input.dateformat': 'yyyy-MM-dd 
hh:mm:ss',
       'hoodie.deltastreamer.keygen.timebased.output.dateformat': 'yyyy/MM/dd'
       
   }
   
   #Input field value: “2020-01-06 12:12:12”
   # Partition path generated from key generator: “2020-01-06 12”
       
   data_items = [
       (1, "mess 1",  111,  "2020-01-06 12:12:12"),
       (2, "mes 2",  22, "2020-01-06 12:12:12"),
   ]
   
   columns = ["uuid", "message", "precomb", "date"]
   
   spark_df = spark.createDataFrame(data=data_items, schema=columns)
   spark_df.show()
   spark_df.printSchema()
   spark_df.write.format("hudi"). \
       options(**hudi_options). \
       mode("append"). \
       save(path)
   ``` 
   
   ## Expectation was to see  partition 2020/01/06/ hudi files inside that 
   
   
![image](https://user-images.githubusercontent.com/39345855/221060072-0a64e2e2-48e8-4b45-8724-934e1e17cafd.png)
   
   
![image](https://user-images.githubusercontent.com/39345855/221060173-2999104a-2681-4cad-88a8-b4846c08bab4.png)
   
   * Maybe i am missing something help from community to point out missing conf 
would be great :D  
   
   
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: commits-unsubscr...@hudi.apache.org.apache.org

For queries about this service, please contact Infrastructure at:
us...@infra.apache.org

Reply via email to