Comment on page
Executors
Execute ETL and vectorization in a local instance.
Because datasets are commonly large by nature, you can decide on an execution mechanism that best suits your needs. For example, if you are vectorizing a large training dataset, you can process it in a distributed Spark cluster. However, if you need to do real-time inference, DataVec also provides a local executor that doesn't require any additional setup.
Once you've created your
TransformProcess using your Schema, and you've either loaded your dataset into a Apache Spark JavaRDD or have a RecordReader that load your dataset, you can execute a transform.Locally this looks like:
import org.datavec.local.transforms.LocalTransformExecutor;
List<List<Writable>> transformed = LocalTransformExecutor.execute(recordReader, transformProcess)
List<List<List<Writable>>> transformedSeq = LocalTransformExecutor.executeToSequence(sequenceReader, transformProcess)
List<List<Writable>> joined = LocalTransformExecutor.executeJoin(join, leftReader, rightReader)
When using Spark this looks like:
import org.datavec.spark.transforms.SparkTransformExecutor;
JavaRDD<List<Writable>> transformed = SparkTransformExecutor.execute(inputRdd, transformProcess)
JavaRDD<List<List<Writable>>> transformedSeq = SparkTransformExecutor.executeToSequence(inputSequenceRdd, transformProcess)
JavaRDD<List<Writable>> joined = SparkTransformExecutor.executeJoin(join, leftRdd, rightRdd)
Local transform executor
isTryCatch
public static boolean isTryCatch()
Execute the specified TransformProcess with the given input data
Note: this method can only be used if the TransformProcess returns non-sequence data. For TransformProcesses that return a sequence, use {- link #executeToSequence(List, TransformProcess)}
- param inputWritables Input data to process
- param transformProcess TransformProcess to execute
- return Processed data
Execute a datavec transform process on spark rdds.
isTryCatch
public static boolean isTryCatch()
- deprecated Use static methods instead of instance methods on SparkTransformExecutor
Last modified 1yr ago