Spark difference between reduceByKey vs. groupByKey vs. aggregateByKey vs. combineByKey

groupByKey: Syntax: sparkContext.textFile(“hdfs://”) .flatMap(line => line.split(” “) ) .map(word => (word,1)) .groupByKey() .map((x,y) => (x,sum(y))) groupByKey can cause out of disk problems as data is sent over the network and collected on the reduced workers. reduceByKey: Syntax: sparkContext.textFile(“hdfs://”) .flatMap(line => line.split(” “)) .map(word => (word,1)) .reduceByKey((x,y)=> (x+y)) Data are combined at each partition, with only … Read more

How can I group data with an Angular filter?

You can use groupBy of angular.filter module. so you can do something like this: JS: $scope.players = [ {name: ‘Gene’, team: ‘alpha’}, {name: ‘George’, team: ‘beta’}, {name: ‘Steve’, team: ‘gamma’}, {name: ‘Paula’, team: ‘beta’}, {name: ‘Scruath’, team: ‘gamma’} ]; HTML: <ul ng-repeat=”(key, value) in players | groupBy: ‘team'”> Group name: {{ key }} <li ng-repeat=”player … Read more

using lodash .groupBy. how to add your own keys for grouped output?

You can do it like this in both Underscore and Lodash (3.x and 4.x). var data = [{ “name”: “jim”, “color”: “blue”, “age”: “22” }, { “name”: “Sam”, “color”: “blue”, “age”: “33” }, { “name”: “eddie”, “color”: “green”, “age”: “77” }]; console.log( _.chain(data) // Group the elements of Array based on `color` property .groupBy(“color”) // … Read more

Hata!: SQLSTATE[HY000] [1045] Access denied for user 'divattrend_liink'@'localhost' (using password: YES)