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Hi,
I noticed that the SQL renaming clause AS doesn't work if there are no operations on those columns, AS renaming wouldn't work. e.g.
SELECT TRIM(COL_A) AS NEW_COL_A, COL_B AS NEW_COL_B
we will end up with a dataframe has header as NEW_COL_A and COL_B. Has anyone else encountered the same issue before?
query="""<SQL query>""" df = pd.read_sql(query, db_conn) # db_conn is the database instance I set up via jaydebeapi
Thanks in advance!
The text was updated successfully, but these errors were encountered:
I was able to reproduce the issue. This patch appears to fix it.
Index: jaydebeapi/__init__.py IDEA additional info: Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP <+>UTF-8 =================================================================== diff --git a/jaydebeapi/__init__.py b/jaydebeapi/__init__.py --- a/jaydebeapi/__init__.py (revision 53b2d6a571aac5ea192b0b9d03f38ecc3f94e71d) +++ b/jaydebeapi/__init__.py (date 1732632090413) @@ -488,7 +488,7 @@ dbapi_type = None else: dbapi_type = DBAPITypeObject._map_jdbc_type_to_dbapi(jdbc_type) - col_desc = ( m.getColumnName(col), + col_desc = ( m.getColumnLabel(col), dbapi_type, size, size,
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Hi,
I noticed that the SQL renaming clause AS doesn't work if there are no operations on those columns, AS renaming wouldn't work.
e.g.
we will end up with a dataframe has header as NEW_COL_A and COL_B. Has anyone else encountered the same issue before?
Thanks in advance!
The text was updated successfully, but these errors were encountered: