⚡️ v2.6.14 Speed up dtype enforcement, fix Oracle auto-incrementing IDs.

v2.6.10 – v2.6.14

• Improve datetime timezone-awareness enforcement performance.
  Datetime columns are only parsed for timezone awareness if the desired awareness differs. This drastically speeds up sync times.

• Switch to tz_localize() when stripping timezone information.
  The previous method of using a lambda to replace individual tzinfo attributes did not scale well. Using tz_localize() can be vectorized and greatly speeds up syncs, especially with large chunks.

• Add enforce_dtypes to Pipe.filter_existing().
  You may optionally enforce dtype information during filter_existing(). This may be useful when implementing custom syncs for instance connectors. Note this may impact memory and compute performance.

  import meerschaum as mrsm
  import pandas as pd
  
  pipe = mrsm.Pipe('a', 'b', instance='sql:local')
  pipe.sync([{'a': 1}])
  
  df = pd.DataFrame([{'a': '2'}])
  
  ### `enforce_dtypes=True` will suppress the differing dtypes warning.
  unseen, update, delta = pipe.filter_existing(df, enforce_dtypes=True)
  print(delta)

• Fix query_df() for null parameters.
  This is useful for when you may use query_df() with only select_columns or omit_columns.

• Fix autoincrementing IDs for Oracle SQL.

• Enforce security settings for creating jobs.
  Jobs and remote actions will only be accessible to admin users when running with --secure (system:permissions:actions:non_admin in config).