Apache spark 如何查询Delta Lake元数据架构更改

我正在阅读json增量日志并尝试理解模式更改。下面是增量日志中的printSchema

root
 |-- add: struct (nullable = true)
 |    |-- dataChange: boolean (nullable = true)
 |    |-- modificationTime: long (nullable = true)
 |    |-- path: string (nullable = true)
 |    |-- size: long (nullable = true)
 |-- commitInfo: struct (nullable = true)
 |    |-- isBlindAppend: boolean (nullable = true)
 |    |-- operation: string (nullable = true)
 |    |-- operationMetrics: struct (nullable = true)
 |    |    |-- executionTimeMs: string (nullable = true)
 |    |    |-- numFiles: string (nullable = true)
 |    |    |-- numOutputBytes: string (nullable = true)
 |    |    |-- numOutputRows: string (nullable = true)
 |    |    |-- numSourceRows: string (nullable = true)
 |    |    |-- numTargetFilesAdded: string (nullable = true)
 |    |    |-- numTargetFilesRemoved: string (nullable = true)
 |    |    |-- numTargetRowsCopied: string (nullable = true)
 |    |    |-- numTargetRowsDeleted: string (nullable = true)
 |    |    |-- numTargetRowsInserted: string (nullable = true)
 |    |    |-- numTargetRowsUpdated: string (nullable = true)
 |    |    |-- rewriteTimeMs: string (nullable = true)
 |    |    |-- scanTimeMs: string (nullable = true)
 |    |-- operationParameters: struct (nullable = true)
 |    |    |-- matchedPredicates: string (nullable = true)
 |    |    |-- mode: string (nullable = true)
 |    |    |-- notMatchedPredicates: string (nullable = true)
 |    |    |-- partitionBy: string (nullable = true)
 |    |    |-- predicate: string (nullable = true)
 |    |-- readVersion: long (nullable = true)
 |    |-- timestamp: long (nullable = true)
 |-- metaData: struct (nullable = true)
 |    |-- createdTime: long (nullable = true)
 |    |-- format: struct (nullable = true)
 |    |    |-- provider: string (nullable = true)
 |    |-- id: string (nullable = true)
 |    |-- partitionColumns: array (nullable = true)
 |    |    |-- element: string (containsNull = true)
 |    |-- schemaString: string (nullable = true)
 |-- protocol: struct (nullable = true)
 |    |-- minReaderVersion: long (nullable = true)
 |    |-- minWriterVersion: long (nullable = true)
 |-- remove: struct (nullable = true)
 |    |-- dataChange: boolean (nullable = true)
 |    |-- deletionTimestamp: long (nullable = true)
 |    |-- extendedFileMetadata: boolean (nullable = true)
 |    |-- path: string (nullable = true)
 |    |-- size: long (nullable = true)

如果我查看数据，尤其是元数据模式，它没有任何时间戳来告诉您更改发生的时间。 感谢您对我如何获得此类信息的任何帮助，如模式更改发生时。我应该以不同的方式读取这些数据，还是有其他地方可以提供发生的模式更改的历史记录。

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谢谢

您的意思是更改表的架构？例如添加新列等？是的，我打算启用automerge以使用Spark updateAll（）和insertAll（）添加其他列。所以我想创建一个视图，说明模式何时发生了变化，以及发生了什么变化