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[SPARK-55812][SQL] Consolidate dataSchemaNotSpecifiedError to use UNABLE_TO_INFER_SCHEMA #54591

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[SPARK-55812][SQL] Consolidate dataSchemaNotSpecifiedError to use UNABLE_TO_INFER_SCHEMA #54591

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5 changes: 0 additions & 5 deletions common/utils/src/main/resources/error/error-conditions.json
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Original file line number Diff line number Diff line change
Expand Up @@ -8346,11 +8346,6 @@
"A schema needs to be specified when using <className>."
]
},
"_LEGACY_ERROR_TEMP_1134" : {
"message" : [
"Unable to infer schema for <format> at <fileCatalog>. It must be specified manually."
]
},
"_LEGACY_ERROR_TEMP_1135" : {
"message" : [
"<className> is not a valid Spark SQL Data Source."
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6 changes: 1 addition & 5 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
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Expand Up @@ -1771,11 +1771,7 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
}

def dataSchemaNotSpecifiedError(format: String, fileCatalog: String): Throwable = {
new AnalysisException(
errorClass = "_LEGACY_ERROR_TEMP_1134",
messageParameters = Map(
"format" -> format,
"fileCatalog" -> fileCatalog))
dataSchemaNotSpecifiedError(format)
}

def invalidDataSourceError(className: String): Throwable = {
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