1. Apache Spark RDD API Examplesdef cogroup[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (Iterable[V], Iterable[W]))] def cogroup[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (Iterable[V], Iterable[W]))] def...
2. 【精选】Java-Spark系列3-RDD介绍Spark RDD 是被分区的,每一个分区都会被一个计算任务 (Task) 处理,分区数决定了并行计算的数量,RDD 的并行度默认从父 RDD 传给子 RDD。默认情况下,一个 HDFS 上的数据分片就是一个 partiton,RDD 分片数决定了并行计算的力度,可以...
3. Spark执行失败时的一个错误分析 - j.liu windliu -at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109) at org.apache.spark.s...
4. spark函数sortByKey实现二次排序 - jinggangshan -其实在OrderedRDDFunctions类中有个变量ordering它是隐形的:private val ordering = implicitly[Ordering[K]]。他就是默认的排序规则,我们自己重写的comp就修改了默认的排序规则。到这里还是没有发现问题,但是发现类OrderedRDDFunctions extends...
5. spark2.3.1执行Spark SQL操作Parquet数据源错误解决...109) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:186) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext...
6. ST7735 Parallel Interface: 8-bit/9-bit/16-bit/18-bit9.3.3 3-line serial protocol 3-line serial protocol (for RDID1/RDID2/RDID3/0Ah/0Bh/0Ch/0Dh/0Eh/0Fh command: 8-bit read): 3-line serial protocol (for RDDID command: 24-bit read) 3-line Serial Protocol ...
RDD-109