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[WIP][SPARK-40663][SQL] Migrate execution errors onto error classes: …
…_LEGACY_ERROR_TEMP_2251-2275
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itholic committed Oct 9, 2022
commit f785527fc046d7ecc994a552a4013ea38c54cee2
139 changes: 139 additions & 0 deletions core/src/main/resources/error/error-classes.json
Original file line number Diff line number Diff line change
Expand Up @@ -3132,5 +3132,144 @@
"message" : [
"<className> must override either <m1> or <m2>"
]
},
"_LEGACY_ERROR_TEMP_2251" : {
"message" : [
"<execName> does not support the execute() code path."
]
},
"_LEGACY_ERROR_TEMP_2252" : {
"message" : [
"Cannot merge <className> with <otherClass>"
]
},
"_LEGACY_ERROR_TEMP_2253" : {
"message" : [
"Data source <sourceName> does not support continuous processing."
]
},
"_LEGACY_ERROR_TEMP_2254" : {
"message" : [
"Data read failed"
]
},
"_LEGACY_ERROR_TEMP_2255" : {
"message" : [
"Epoch marker generation failed"
]
},
"_LEGACY_ERROR_TEMP_2256" : {
"message" : [
"Foreach writer has been aborted due to a task failure"
]
},
"_LEGACY_ERROR_TEMP_2257" : {
"message" : [
"Integer overflow. <message>"
]
},
"_LEGACY_ERROR_TEMP_2258" : {
"message" : [
"Error reading delta file <fileToRead> of <clazz>: key size cannot be <keySize>"
]
},
"_LEGACY_ERROR_TEMP_2259" : {
"message" : [
"Error reading snapshot file <fileToRead> of <clazz>: <message>"
]
},
"_LEGACY_ERROR_TEMP_2260" : {
"message" : [
"Cannot purge as it might break internal state."
]
},
"_LEGACY_ERROR_TEMP_2261" : {
"message" : [
"Clean up source files is not supported when reading from the output directory of FileStreamSink."
]
},
"_LEGACY_ERROR_TEMP_2262" : {
"message" : [
"latestOffset(Offset, ReadLimit) should be called instead of this method"
]
},
"_LEGACY_ERROR_TEMP_2263" : {
"message" : [
"Error: we detected a possible problem with the location of your checkpoint and you",
"likely need to move it before restarting this query.",
"",
"Earlier version of Spark incorrectly escaped paths when writing out checkpoints for",
"structured streaming. While this was corrected in Spark 3.0, it appears that your",
"query was started using an earlier version that incorrectly handled the checkpoint",
"path.",
"",
"Correct Checkpoint Directory: <checkpointPath>",
"Incorrect Checkpoint Directory: <legacyCheckpointDir>",
"",
"Please move the data from the incorrect directory to the correct one, delete the",
"incorrect directory, and then restart this query. If you believe you are receiving",
"this message in error, you can disable it with the SQL conf",
"<StreamingCheckpointEscapedPathCheckEnabled>."
]
},
"_LEGACY_ERROR_TEMP_2264" : {
"message" : [
"Subprocess exited with status $exitCode. Error: <stderrBuffer>"
]
},
"_LEGACY_ERROR_TEMP_2265" : {
"message" : [
"<nodeName> without serde does not support <dt> as output data type"
]
},
"_LEGACY_ERROR_TEMP_2266" : {
"message" : [
"Invalid `startIndex` provided for generating iterator over the array. Total elements: <numRows>, requested `startIndex`: <startIndex>"
]
},
"_LEGACY_ERROR_TEMP_2267" : {
"message" : [
"The backing <className> has been modified since the creation of this Iterator"
]
},
"_LEGACY_ERROR_TEMP_2268" : {
"message" : [
"<nodeName> does not implement doExecuteBroadcast"
]
},
"_LEGACY_ERROR_TEMP_2269" : {
"message" : [
"<globalTempDB> is a system preserved database, please rename your existing database to resolve the name conflict, or set a different value for <globalTempDatabase>, and launch your Spark application again."
]
},
"_LEGACY_ERROR_TEMP_2270" : {
"message" : [
"comment on table is not supported"
]
},
"_LEGACY_ERROR_TEMP_2271" : {
"message" : [
"UpdateColumnNullability is not supported"
]
},
"_LEGACY_ERROR_TEMP_2272" : {
"message" : [
"Rename column is only supported for MySQL version 8.0 and above."
]
},
"_LEGACY_ERROR_TEMP_2273" : {
"message" : [
"<message>"
]
},
"_LEGACY_ERROR_TEMP_2274" : {
"message" : [
"Nested field <colName> is not supported."
]
},
"_LEGACY_ERROR_TEMP_2275" : {
"message" : [
"Dataset transformations and actions can only be invoked by the driver, not inside of other Dataset transformations; for example, dataset1.map(x => dataset2.values.count() * x) is invalid because the values transformation and count action cannot be performed inside of the dataset1.map transformation. For more information, see SPARK-28702."
]
}
}
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