本文介绍在使用Spark计算引擎访问表格存储时，如何通过DataFrame编程方式对表格存储中的数据进行流计算，并分别在本地和集群环境中进行运行调试。准备工作 在表格存储中创建数据表，并创建数据通道、写入数据。详情请参见 宽表模型快速入门...
本文介绍在使用Spark计算引擎访问表格存储时，如何通过DataFrame编程方式对表格存储中的数据进行批计算，并分别在本地和集群环境中进行运行调试。准备工作 在表格存储中创建数据表，并写入数据。详情请参见 宽表模型快速入门。说明 数据表 ...
重要 task.cancellation.timeout 参数用于作业调试，请不要在生产作业上配置该参数值为0。报错：Can not retract a non-existent record.This should never happen.报错详情 java.lang.RuntimeException:Can not retract a non-existent ...
Scala 本文采用Scala 2.13.10，Scala官网下载地址请参见 Scala官网。下载Spark on MaxCompute客户端包 Spark on MaxCompute发布包集成了MaxCompute认证功能。作为客户端工具，它通过Spark-Submit方式提交作业到MaxCompute项目中运行。...
ON-OSS示例（Scala）OSS UnstructuredData示例（Scala）SparkPi示例（Scala）支持Spark Streaming LogHub示例（Scala）支持Spark Streaming LogHub写MaxCompute示例（Scala）支持Spark Streaming DataHub示例（Scala）支持Spark Streaming ...
properties spark.version 1.6.3/spark.version cupid.sdk.version 3.3.3-public/cupid.sdk.version scala.version 2.10.4/scala.version scala.binary.version 2.10/scala.binary.version/properties dependency groupId org.apache.spark...
see pom.xml.properties spark.version 2.3.0/spark.version cupid.sdk.version 3.3.8-public/cupid.sdk.version scala.version 2.11.8/scala.version scala.binary.version 2.11/scala.binary.version/properties dependency groupId org....
source/etc/profile 执行如下命令验证scalap配置是否成功 scala-version scala 如果返回如下信息，则表示配置Scala成功。步骤四：配置Apache Spark 执行如下命令解压Apache Spark压缩包到指定目录。tar-zxf spark-2.4.8-bin-hadoop2.7.tgz-...
引擎侧 版本号 说明 esr-2.7.1(Spark 3.3.1,Scala 2.12)esr-2.8.0(Spark 3.3.1,Scala 2.12)esr-3.3.1(Spark 3.4.4,Scala 2.12)esr-3.4.0(Spark 3.4.4,Scala 2.12)esr-4.3.1(Spark 3.5.2,Scala 2.12)esr-4.4.0(Spark 3.5.2,Scala 2.12)esr-4...
背景信息 Zeppelin支持Flink的3种主流语言，包括Scala、PyFlink和SQL。Zeppelin中所有语言共用一个Flink Application，即共享一个ExecutionEnvironment和StreamExecutionEnvironment。例如，您在Scala里注册的table和UDF是可以被其他语言...
and all Spark tasks are executed through Java or Scala code.Engine version format The engine version format is esr-(Spark*,Scala*).Note You can use the runtime environment provided by Alibaba Cloud Fusion Engine to ...
find./build.sbt./src./src/main./src/main/scala./src/main/scala/com ./src/main/scala/com/spark ./src/main/scala/com/spark/test ./src/main/scala/com/spark/test/WriteToCk.scala 编辑build.sbt配置文件并添加依赖。name:="Simple ...
package org.myorg.example import org.apache.flink.streaming.api.scala._import org.apache.flink.table.sources._import org.apache.flink.table.api.scala.StreamTableEnvironment import org.apache.flink.table.api._import org....
This topic describes the mappings of data and value types between Spark,Scala,as well as the search indexes and tables of Tablestore.When you use these data and value types,you must follow the mapping rules for Spark,Scala...
本文通过以下方面为您介绍Spark：Scala（%spark）PySpark（%spark.pyspark）SparkR（%spark.r）SQL（%spark.sql）配置Spark 第三方依赖 内置教程 Scala（%spark）以%spark 开头的就是Scala代码的段落（Paragraph）。因为Zeppelin已经为您...
lang/groupId artifactId scala-library/artifactId/exclusion exclusion groupId org.scala-lang/groupId artifactId scalap/artifactId/exclusion/exclusions/dependency dependency groupId org.apache.spark/groupId artifactId spark-...
建表并写入数据 Scala/非分区表 data.write.format("delta").save("/tmp/delta_table")/分区表 data.write.format("delta").partitionedBy("date").save("/tmp/delta_table")SQL-非分区表 CREATE TABLE delta_table(id INT)USING delta ...
262)at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$anon$2$anon$3.$anonfun$run$2(SparkExecuteStatementOperation.scala:166)at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)at...
待补数据实例运行成功后，进入其运行日志的tracking URL中查看运行结果 相关文档 更多场景的Spark on MaxCompute任务开发，请参考：java/scala示例：Spark-1.x示例 java/scala示例：Spark-2.x示例 Python示例：PySpark开发示例 场景：Spark...
Scala 2.12,Java Runtime)state string The status of the version.ONLINE type string The type of the version.stable iaasType string The type of the IaaS layer.ASI gmtCreate integer The time when the version was created....
230)at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)at org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:79)at org.apache.spark.sql.hive.thriftserver....
see Running modes.Preparations ODPS Spark nodes allow you to use Java,Scala,or Python to develop and run offline Spark on MaxCompute tasks.The operations and parameters that are required for developing the offline Spark on...
see Running modes.Preparations ODPS Spark nodes allow you to use Java,Scala,or Python to develop and run offline Spark on MaxCompute tasks.The operations and parameters that are required for developing the offline Spark on...
such as a structured data file,a Hive table,an external database,or an existing RDD.The DataFrame API is available in Scala,Java,Python,and R.A DataFrame in Scala or Java is represented by a Dataset of rows.In the Scala ...
本文为您介绍2024年12月11日发布的EMR Serverless Spark的功能变更。概述 2024年12月11日，我们正式对外发布Serverless ...esr-3.0.1(Spark 3.4.3,Scala 2.12)esr-2.4.1(Spark 3.3.1,Scala 2.12)Fusion加速：JSON处理时忽略末尾的无效数据。
esr-2.6.0(Spark 3.3.1,Scala 2.12)esr-3.4.0(Spark 3.4.4,Scala 2.12)esr-4.2.0(Spark 3.5.2,Scala 2.12)Fusion加速 自定义UDF性能优化。Sort、First/Last、DenseRank等操作性能提升。CSV Reader支持分区表。from_utc_timestamp 函数支持...
help for more information.scala val myfile=sc.textFile("oss:/{your-bucket-name}/50/store_sales")myfile:org.apache.spark.rdd.RDD[String]=oss:/{your-bucket-name}/50/store_sales MapPartitionsRDD[1]at textFile at console:24 ...