Github user budde commented on a diff in the pull request: https://github.com/apache/spark/pull/16944#discussion_r101460565 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala --- @@ -296,6 +296,17 @@ object SQLConf { .longConf .createWithDefault(250 * 1024 * 1024) + val HIVE_SCHEMA_INFERENCE_MODE = buildConf("spark.sql.hive.schemaInferenceMode") + .doc("Configures the action to take when a case-sensitive schema cannot be read from a Hive " + + "table's properties. Valid options include INFER_AND_SAVE (infer the case-sensitive " + + "schema from the underlying data files and write it back to the table properties), " + + "INFER_ONLY (infer the schema but don't attempt to write it to the table properties) and " + + "NEVER_INFER (fallback to using the case-insensitive metastore schema instead of inferring).") + .stringConf + .transform(_.toUpperCase()) + .checkValues(Set("INFER_AND_SAVE", "INFER_ONLY", "NEVER_INFER")) + .createWithDefault("INFER_AND_SAVE") --- End diff -- This was proposed in #16797 but I'd like to open this for discussion. - ```INFER_ONLY``` would mimic the pre-2.1.0 behavior. - ```INFER_AND_SAVE``` would attempt to prevent future inferences but may fail if the Hive client doesn't have write permissions on the metastore. - ```NEVER_INFER``` is the current behavior in 2.1.0 which breaks support with the tables affected by [SPARK-19611](https://issues.apache.org/jira/browse/SPARK-19611). Users may wish to enable this mode for tables without the table properties schema that they know are case-insensitive.
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