class DefaultSource extends RelationProvider with DataSourceRegister with CreatableRelationProvider with StreamSinkProvider with Logging
DefaultSource for integration with Spark's dataframe datasources. This class will produce a relationProvider based on input given to it from spark
This class needs to stay in the current package 'org.apache.hadoop.hbase.spark' for Spark to match the hbase data source name.
In all this DefaultSource support the following datasource functionality - Scan range pruning through filter push down logic based on rowKeys - Filter push down logic on HBase Cells - Qualifier filtering based on columns used in the SparkSQL statement - Type conversions of basic SQL types. All conversions will be Through the HBase Bytes object commands.
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- new DefaultSource()
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def
createRelation(sqlContext: SQLContext, mode: SaveMode, parameters: Map[String, String], data: DataFrame): BaseRelation
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- DefaultSource → CreatableRelationProvider
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def
createRelation(sqlContext: SQLContext, parameters: Map[String, String]): BaseRelation
Is given input from SparkSQL to construct a BaseRelation
Is given input from SparkSQL to construct a BaseRelation
- sqlContext
SparkSQL context
- parameters
Parameters given to us from SparkSQL
- returns
A BaseRelation Object
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- DefaultSource → RelationProvider
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def
createSink(sqlContext: SQLContext, parameters: Map[String, String], partitionColumns: Seq[String], outputMode: OutputMode): Sink
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- DefaultSource → StreamSinkProvider
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
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log: Logger
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logName: String
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logTrace(msg: ⇒ String, throwable: Throwable): Unit
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logWarning(msg: ⇒ String): Unit
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notifyAll(): Unit
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shortName(): String
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- DefaultSource → DataSourceRegister
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