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); }