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The following commit(s) were added to refs/heads/master by this push:
     new 49d2214a7660 [SPARK-47816][CONNECT][DOCS] Document the lazy evaluation 
of views in `spark.{sql, table}`
49d2214a7660 is described below

commit 49d2214a76603a273542b30b87f8c2fe342f67f4
Author: Ruifeng Zheng <ruife...@apache.org>
AuthorDate: Fri Apr 12 17:00:26 2024 +0800

    [SPARK-47816][CONNECT][DOCS] Document the lazy evaluation of views in 
`spark.{sql, table}`
    
    ### What changes were proposed in this pull request?
    Document the lazy evaluation of views in `spark.{sql, table}`
    
    ### Why are the changes needed?
    it is by design in Spark Connect, so we need to document it
    
    ### Does this PR introduce _any_ user-facing change?
    doc change
    
    ### How was this patch tested?
    ci
    
    ### Was this patch authored or co-authored using generative AI tooling?
    no
    
    Closes #46007 from zhengruifeng/doc_connect_sql_table.
    
    Authored-by: Ruifeng Zheng <ruife...@apache.org>
    Signed-off-by: Ruifeng Zheng <ruife...@apache.org>
---
 python/pyspark/sql/session.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/python/pyspark/sql/session.py b/python/pyspark/sql/session.py
index f1666a9f575c..1098c41a3f4c 100644
--- a/python/pyspark/sql/session.py
+++ b/python/pyspark/sql/session.py
@@ -1630,6 +1630,13 @@ class SparkSession(SparkConversionMixin):
         -------
         :class:`DataFrame`
 
+        Notes
+        -----
+        In Spark Classic, a temporary view referenced in `spark.sql` is 
resolved immediately,
+        while in Spark Connect it is lazily evaluated.
+        So in Spark Connect if a view is dropped, modified or replaced after 
`spark.sql`, the
+        execution may fail or generate different results.
+
         Examples
         --------
         Executing a SQL query.
@@ -1756,6 +1763,13 @@ class SparkSession(SparkConversionMixin):
         -------
         :class:`DataFrame`
 
+        Notes
+        -----
+        In Spark Classic, a temporary view referenced in `spark.table` is 
resolved immediately,
+        while in Spark Connect it is lazily evaluated.
+        So in Spark Connect if a view is dropped, modified or replaced after 
`spark.table`, the
+        execution may fail or generate different results.
+
         Examples
         --------
         >>> spark.range(5).createOrReplaceTempView("table1")


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