Options
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
09-27-2023 10:39 PM
@vk217 Simply just use select function, ex.
df = spark.read.table(table_name).select("col1", "col2", "col3")