[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$frrg0Cjy4M0JCwMT5SdUM8Iy0Fa16KmQZWi1AidusNIE":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-04-02 09:51:20",181357233,[8,9,10,11],"`spark.read.jdbc("jdbc:mysql:\u002F\u002Flocalhost:3306\u002Fdb", "table",properties)`","`sc.read.jdbc("jdbc:mysql:\u002F\u002Flocalhost:3306\u002Fdb", "table",properties)`","`rdd.read.jdbc("jdbc:mysql:\u002F\u002Flocalhost:3306\u002Fdb", "table",properties)`","`sqlContext.read.mysql("jdbc:mysql:\u002F\u002Flocalhost:3306\u002Fdb", "table",properties)`",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},20,"d33a8a8419409283e016576c50e9b0e5","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","23-24-2Spark开发技术","work_42364172","Spark RDD数据读写","使用Spark从MySQL读取数据时,以下哪个是正确 的加载数据的方法?( )",[21,32,41,50,59,68,77,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],181357227,[25,26,27,28],"`sc.read.textFile`","`sc.textFile`","`sc.hadoopFile`","`sc.createRDD`","在Spark中,使用什么方法从本地文件系统读取数 据创建RDD?( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],181357228,[36,37,38,39],"`sc.hadoopTextFile("hdfs:\u002F\u002Flocalhost:9000\u002Fpath\u002Fto\u002Ffile")`","`sc.textFile("hdfs:\u002F\u002Flocalhost:9000\u002Fpath\u002Fto\u002Ffile")`","`sc.readHDFS("hdfs:\u002F\u002Flocalhost:9000\u002Fpath\u002Fto\u002Ffile")`","`sc.rddFromHDFS("hdfs:\u002F\u002Flocalhost:9000\u002Fpath\u002Fto\u002Ffile")`","以下哪个选项能正确从HDFS读取文本文件创建RDD ?假设SparkContext已经创建为`sc`.( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],181357229,[45,46,47,48],"按行分割","按单词分割","按字节分割","按文件大小平均分割","当从本地文件系统读取数据创建RDD时, `textFile`方法默认会将文件按什么方式进行分割? ( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],181357230,[54,55,56,57],"`rdd.write.saveAsTextFile`","`rdd.saveAsTextFile`","`rdd.outputToFile`","`rdd.writeToLocal`","在Spark中,向本地文件系统写入RDD数据时,使 用什么方法?( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],181357231,[63,64,65,66],"`textFile`方法可以指定分区数","支持读取压缩文件","不支持递归读取目录下的所有文件","读取操作是分布式的","以下对从HDFS读取文件创建RDD的描述,错误的是 ?( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":30,"type":31},[],181357232,[72,73,74,75],"`org.apache.spark:spark-sql_2.12`","`mysql:mysql-connector-java`","`org.apache.hadoop:hadoop-client`","`org.apache.spark:spark-hive_2.12`","在Spark中,要连接MySQL数据库,需要添加以下 哪个依赖?( )",{"answer":78,"createTime":5,"id":6,"options":79,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],181357234,[84,85,86,87],"`rdd.write.jdbc(url, table, properties)`","`rdd.saveToMySQL(url, table, properties)`","`rdd.outputToMySQL(url, table, properties)`","`rdd.writeToJdbc(url, table, properties)`","在将RDD数据写入MySQL数据库时,需要使用哪个 方法?假设`rdd`是待写入的RDD,`url`是数据库连 接URL,`table`是表名,`properties`是连接属性. ( )",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],181357235,[93,94,95,96],"报错","读取目录下所有文件","只读取目录下第一个文件","读取目录名作为数据","在Spark中读取本地文件时,如果文件路径是目录 ,`textFile`方法会?( )",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],181357236,[102,103,104,105],"无法读取压缩文件","自动解压后读取","将压缩文件按字节读取","需要手动解压后再读取","从HDFS读取文件创建RDD时,若文件是压缩文件 ,Spark会如何处理?( )"]