gengliangwang opened a new pull request #35926:
URL: https://github.com/apache/spark/pull/35926


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   ### What changes were proposed in this pull request?
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   Spark SQL uses the class Origin for tracking the position of each TreeNode 
in the SQL query text. When there is a parser error, we can show the position 
info in the error message:
   ```
   > sql("create tabe foo(i int)")
   org.apache.spark.sql.catalyst.parser.ParseException:
   no viable alternative at input 'create tabe'(line 1, pos 7)
   
   
   == SQL ==
   create tabe foo(i int)
   -------^^^ 
   ```
   It contains two fields: line and startPosition. This is enough for the 
parser since the SQL query text is known.
   
   However, the SQL query text is unknown in the execution phase. Spark SQL 
can't show the problematic SQL clause on ANSI runtime failures. 
   This PR is to include the query text in Origin. After this, we can provide 
details in the error messages of Expressions which can throw runtime exceptions 
when ANSI mode is on.
   
   ### Why are the changes needed?
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   Currently,  there is not enough error context for runtime ANSI failures.
   
   In the following example, the error message only tells that there is a 
"divide by zero" error, without pointing out where the exact SQL statement is.
   ```
   > SELECT
     ss1.ca_county,
     ss1.d_year,
     ws2.web_sales / ws1.web_sales web_q1_q2_increase,
     ss2.store_sales / ss1.store_sales store_q1_q2_increase,
     ws3.web_sales / ws2.web_sales web_q2_q3_increase,
     ss3.store_sales / ss2.store_sales store_q2_q3_increase
   FROM
     ss ss1, ss ss2, ss ss3, ws ws1, ws ws2, ws ws3
   WHERE
     ss1.d_qoy = 1
       AND ss1.d_year = 2000
       AND ss1.ca_county = ss2.ca_county
       AND ss2.d_qoy = 2
       AND ss2.d_year = 2000
       AND ss2.ca_county = ss3.ca_county
       AND ss3.d_qoy = 3
       AND ss3.d_year = 2000
   ```
   ```
   org.apache.spark.SparkArithmeticException: divide by zero at 
org.apache.spark.sql.errors.QueryExecutionErrors$.divideByZeroError(QueryExecutionErrors.scala:140)
 at 
org.apache.spark.sql.catalyst.expressions.DivModLike.eval(arithmetic.scala:437) 
at 
org.apache.spark.sql.catalyst.expressions.DivModLike.eval$(arithmetic.scala:425)
 at org.apache.spark.sql.catalyst.expressions.Divide.eval(arithmetic.scala:534)
   ```
   This PR is the initial PR for the project 
https://issues.apache.org/jira/browse/SPARK-38615
   ### Does this PR introduce _any_ user-facing change?
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   No
   
   ### How was this patch tested?
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   UT


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