org.apache.spark.sql.execution.streaming.state
StateSchemaCompatibilityChecker
Companion class StateSchemaCompatibilityChecker
object StateSchemaCompatibilityChecker extends Logging
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- val SCHEMA_FORMAT_V3: Int
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- def readSchemaFile(inStream: FSDataInputStream): List[StateStoreColFamilySchema]
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- def validateAndMaybeEvolveStateSchema(stateInfo: StatefulOperatorStateInfo, hadoopConf: Configuration, newStateSchema: List[StateStoreColFamilySchema], sessionState: SessionState, stateSchemaVersion: Int, extraOptions: Map[String, String] = Map.empty, storeName: String = StateStoreId.DEFAULT_STORE_NAME, oldSchemaFilePaths: List[Path] = List.empty, newSchemaFilePath: Option[Path] = None, schemaEvolutionEnabled: Boolean = false): StateSchemaValidationResult
Function to validate the schema of the state store and maybe evolve it if needed.
Function to validate the schema of the state store and maybe evolve it if needed. We also verify for binary inequality columns in the schema and disallow them. We then perform key and value schema validation. Depending on the passed configs, a warning might be logged or an exception might be thrown if the schema is not compatible.
- stateInfo
- StatefulOperatorStateInfo containing the state store information
- hadoopConf
- Hadoop configuration
- newStateSchema
- Array of new schema for state store column families
- sessionState
- session state used to retrieve session config
- stateSchemaVersion
- version of the state schema to be used
- extraOptions
- any extra options to be passed for StateStoreConf creation
- storeName
- optional state store name
- newSchemaFilePath
- optional path to the destination schema file. Needed for schema version 3
- returns
- StateSchemaValidationResult containing the result of the schema validation
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(Since version 9)