他对象只能查询这些数据行,不能进行UPDATE、DELETE或SELECT...FOR UPDATE操作。 语法: FOR UPDATE [OF [schema.]table.column[,[schema.]table.column].. [nowait] 在多表查询中,使用OF子句来锁定特定的表,如果忽略了OF子句,那么所有表中选择的数据行都将被锁定。 如果这些数据行已经被其他会话锁定,那么正常情...
如{"commitInfo":{"timestamp":1609400013646,"operation":"WRITE","operationParameters":{"mode":"Append","partitionBy":"[]"},"readVersion":0,"isBlindAppend":true,"operationMetrics":{"numFiles":"1","numOutputBytes":"306","numOutputRows":"0"}}},...
我是接受同事代码,管理目前工程,接着开发后续需求,但接到需要新增字段 task_type并且需要设置为主键,数模更改以后,因为表中数据有做delete操作, 数据按天删除,并重新生成当日数据,原来代码 SELECT METER_ID,DATA_DATE,FROM tablename 即可获取数据,未改之前主键为 METER_ID,DATA_DATE 但数模更改以后,kudu.detele需要...
hadoop02:7051,hadoop03:7051"val kuduContext=newKuduContext(kuduMasters, sqlContext.sparkContext)//TODO 1:定义kudu表val kuduTableName = "spark_kudu_tbl"//TODO 2:配置kudu参数val kuduOptions: Map[String, String] =Map("kudu.table" ->kuduTableName...
hbase.coprocessor-timeout-seconds=0 # ## clean real storage after delete operation ## if you want to delete the real storage like htable of deleting segment, you can set it to true #kylin.storage.clean-after-delete-operation=false # ### JOB ### # ## Max job retry on error, defaul...
create table my_table ( k int, v string ) USING paimon tblproperties ( 'primary-key' = 'k' ) ; 5.插入表 Paimon目前支持Spark 3.2+进行SQL写入。 INSERT INTO my_table VALUES (1, 'Hi'), (2, 'Hello'); 6.查询表 SQL 查询 SELECT * FROM my_table; ...
我们在写数据时,可以配置同步Hive参数,生成对应的Hive表,用来查询Hudi表,具体来说,在写入过程中传递了两个由table name命名的Hive表。例如,如果table name = hudi_tbl,我们得到 hudi_tbl实现了由HoodieParquetInputFormat支持的数据集的读优化视图,从而提供了纯列式数据 ...
自Spark 3.1以来,你可以使用DataStreamReader.table()将表作为流式DataFrame读取,并使用DataStreamWriter.toTable()将流式DataFrame写入表中。 spark = ... # Spark会话 # 创建一个流式DataFrame df = spark.readStream \ .format("rate") \ .option("rowsPerSecond", 10) \ .load() # 将流式DataFrame写入...
//1) Create RDD with all rowsvaldeleteBooksRDD = sc.cassandraTable("books_ks","books")//2) Review table data before executionprintln("===") println("1) Before") deleteBooksRDD.collect.foreach(println) println("===")//3) Delete selected records in dataframeprintln("===") println("...
usebooks_ks;select*frombooks; 可复原分布式数据库 (RDD) API 使用示例数据创建 RDD Scala //Drop and re-create table to delete records created in the previous sectionvalcdbConnector =CassandraConnector(sc) cdbConnector.withSessionDo(session => session.execute("DROP TABLE IF EXISTS books_ks.books;...