ch.ninecode.cim.DefaultSource.scala Maven / Gradle / Ivy
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Expose CIM data files as Spark RDD
package ch.ninecode.cim
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.FileSystem
import org.apache.hadoop.fs.Path
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.execution.datasources.InMemoryFileIndex
import org.apache.spark.sql.sources.BaseRelation
import org.apache.spark.sql.sources.RelationProvider
import org.slf4j.LoggerFactory
class DefaultSource
extends
RelationProvider
{
private val log = LoggerFactory.getLogger (getClass)
def isGlobPath (pattern: Path): Boolean = pattern.toString.exists ("{}[]*?\\".toSet.contains)
def globPath (fs: FileSystem, path: Path): Seq[Path] = fs.globStatus (path).map (_.getPath)
def globPathIfNecessary (fs: FileSystem, pattern: Path): Seq[Path] = if (isGlobPath (pattern)) globPath (fs, pattern) else Seq (pattern)
override def createRelation (
sqlContext: SQLContext,
parameters: Map[String, String]): BaseRelation =
{
val session = sqlContext.sparkSession
val files = parameters.getOrElse ("path", sys.error ("'path' must be specified for CIM data."))
log.info (s"createRelation for files $files")
val allPaths: Seq[String] = files.split (",")
val globbedPaths = allPaths.flatMap
{
path =>
val hdfsPath = new Path (path)
val configuration = new Configuration (session.sparkContext.hadoopConfiguration)
val fs = hdfsPath.getFileSystem (configuration)
val qualified = hdfsPath.makeQualified (fs.getUri, fs.getWorkingDirectory)
val globPath = globPathIfNecessary (fs, qualified)
if (globPath.isEmpty)
throw new java.io.FileNotFoundException (s"Path does not exist: $qualified")
globPath.foreach (
p =>
{
if (!fs.exists (p))
throw new java.io.FileNotFoundException (s"Path does not exist: $p")
}
)
globPath
}
val fileCatalog = new InMemoryFileIndex (session, globbedPaths, parameters, None)
new CIMRelation (fileCatalog, parameters)(session)
}
}
// or alternatively, if extending a FileFormat, like so:
//class DefaultSource
//extends
// CIMFileFormat
//{
//}
// then DataSource uses the CIMFileFormat with HadoopFsRelation - which doesn't allow for subsetting, named RDD setup, Join, Edges etc.
// see https://github.com/apache/spark/blob/branch-2.0/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala