kaxil opened a new pull request, #43905:
URL: https://github.com/apache/airflow/pull/43905

   XCom pickling was disabled by default in Airflow 2.0.0: 
https://airflow.apache.org/docs/apache-airflow/1.10.15/configurations-ref.html#enable-xcom-pickling
   
   ## Discussion
   To avoid a time-consuming DB migration, I have not changed the column type 
of `value`; it is still `LargeBinary`/`LONGBLOB` (MySQL).
   
   As part of Airflow 3, we should strongly recommend users to use the `airflow 
db clean` command to prune the DBs to the minimum required. If we assume, most 
users would do that, we can run the following migration:
   
   ### Option 1: Try to migrate pickle to JSON
   ```python
   def upgrade():
       bind = op.get_bind()
       session = Session(bind=bind)
   
       for row in session.query(XCom).all():
           try:
               unpickled_data = pickle.loads(row.value)
               row.value = json.dumps(unpickled_data).encode('utf-8')
           except (pickle.UnpicklingError, json.JSONDecodeError):
               # If unpickling fails, assume it's already JSON and skip
               continue
   
       op.alter_column("xcom", "value", type_=sa.Text)
   ``` 
   
   ### Option 2: Delete XCom rows with pickle
   
   ```python
   from airflow.models.xcom import BaseXCom
   from airflow.utils.db import provide_session
   
   def upgrade():
       bind = op.get_bind()
       session = Session(bind=bind)
   
       pickled_xcoms = 
session.query(BaseXCom).filter(BaseXCom.value.isnot(None))
       
       deleted_count = 0
       for xcom in pickled_xcoms:
           if xcom.value.startswith(b'\x80'):  # Identify as pickled by 
protocol marker: 
https://github.com/python/cpython/blob/494360afd00dc8f6b549f160525c3e86ec14905d/Lib/pickletools.py#L2122-L2133
               session.delete(xcom)
   
   ```
   
   ### Option 3: Keep the current column type
   
   Not optimal, but we can keep the current column type to binary/long-blob
   
   Any thoughts?
   
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