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Posted to reviews@spark.apache.org by "srielau (via GitHub)" <gi...@apache.org> on 2023/02/05 19:36:05 UTC
[GitHub] [spark] srielau commented on a diff in pull request #39886: [SPARK-42348][SQL] Add new SQLSTATE
srielau commented on code in PR #39886:
URL: https://github.com/apache/spark/pull/39886#discussion_r1096795116
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core/src/main/resources/error/README.md:
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@@ -857,6 +857,17 @@ The following SQLSTATEs are collated from:
|42K09 |42 |Syntax Error or Access Rule Violation |K09 |Data type mismatch |Spark |N |Spark |
|42K0A |42 |Syntax error or Access Rule violation |K0A |Invalid UNPIVOT clause |Spark |N |Spark |
|42K0B |42 |Syntax error or Access Rule violation |K0B |Legacy feature blocked |Spark |N |Spark |
+|42KD0 |42 |Syntax error or Access Rule violation |KD0 |Ambiguous name reference. |Databricks |N |Databricks |
+|42KD1 |42 |Syntax error or Access Rule violation |KD1 |Operation not supported in READ ONLY session mode. |Databricks |N |Databricks |
+|42KD2 |42 |Syntax error or Access Rule violation |KD2 |The source and target table names of a SYNC operaton must be the same.|Databricks |N |Databricks |
+|42KD3 |42 |Syntax error or Access Rule violation |KD3 |A column can not be added as specified. |Databricks |N |Databricks |
+|42KD4 |42 |Syntax error or Access Rule violation |KD4 |Operation not supported because table schema has changed. |Databricks |N |Databricks |
+|42KD5 |42 |Syntax error or Access Rule violation |KD5 |Cannot create file or path. |Databricks |N |Databricks |
+|42KD6 |42 |Syntax error or Access Rule violation |KD6 |No partition information found. |Databricks |N |Databricks |
+|42KD7 |42 |Syntax error or Access Rule violation |KD7 |Table signature mismatch. |Databricks |N |Databricks |
+|42KD8 |42 |Syntax error or Access Rule violation |KD8 |Column position out of range. |Databricks |N |Databricks |
+|42KD9 |42 |Syntax error or Access Rule violation |KD9 |Cannot infer table schema. |Databricks |N |Databricks |
+|42KDA |42 |Syntax error or Access Rule violation |KDA |Failed to merge file into table schema. |Databricks |N |Databricks |
Review Comment:
Yes
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