package com.thinkbiganalytics.spark.datavalidator;
/*-
* #%L
* kylo-spark-validate-cleanse-app
* %%
* Copyright (C) 2017 ThinkBig Analytics
* %%
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* #L%
*/
import org.apache.spark.api.java.JavaRDD;
/**
* Validator Strategy interface (to enable support for Spark 1 and 2)
*/
public interface IValidatorStrategy {
/**
* Get count of invalid columns, and total valid and invalid rows on cleansed rows
* @param cleansedRowResultJavaRDD RDD containing result of cleaning rows of type {@link CleansedRowResult}
* @param schemaLength number of columns in schema
* @return RDD containing counts of invalid columns, and total valid and invalid rows
*/
JavaRDD<long[]> getCleansedRowResultPartitionCounts(JavaRDD<CleansedRowResult> cleansedRowResultJavaRDD, int schemaLength);
}