"desired_concurrent_number"="2", "max_batch_interval" = "20", "max_batch_rows" = "300000", "max_batch_size" = "209715200", "strict_mode" = "false", "format" = "json", "jsonpaths" = "[\"$.category\",\"$.author\",\"$.price\",\"$.timestamp\"]", "strip_outer_array"...
创建导入作业,desired_concurrent_number指定并行度 CREATEROUTINELOADtest_db.job1onkafka_student PROPERTIES ( "desired_concurrent_number"="1", "strict_mode"="false", "format"="json" ) FROMKAFKA ( "kafka_broker_list"="bigdata:9092", "kafka_topic"="test", "property.group.id"="test" ); 查...
PROPERTIES ("key1"="value1", ...) 指定导入的format的一些参数。如导入的文件是json格式,则可以在这里指定json_root、jsonpaths、fuzzy_parse等参数。 enclose 包围符。当csv数据字段中含有行分隔符或列分隔符时,为防止意外截断,可指定单字节字符作为包围符起到保护作用。例如列分隔符为",",包围符为"'",数...
10. 创建导入作业,desired_concurrent_number指定并行度 CREATE ROUTINE LOAD test_db.job1 on kafka_student PROPERTIES ( "desired_concurrent_number"="1", "strict_mode"="false", "format"="json" ) FROM KAFKA ( "kafka_broker_list"= "bigdata:9092", "kafka_topic" = "test", "property.group.i...
NumberTotalRows: 表示要导入的总数据量 Status :Success 表示导入成功 到这里我们已经完成的数据导入,下面就可以根据我们自己的需求对数据进行查询分析了 3.1.5查询数据表 上面完成了建表,输数据导入,下面我们就可以体验 Doris 的数据快速查询分析能力。 mysql> select * from example_tbl; +---+---+---+--...
doris->money_format(Number) 如果字符串为空字符串或者NULL,返回true。否则,返回false. 代码语言:javascript 复制 mysql->casewhen then end doris->NULL_OR_EMPTY(VARCHARstr) 将字符串反转,返回的字符串的顺序和源字符串的顺序相反. 代码语言:javascript ...
参数format:csv、json两种取值 例如: CREATE ROUTINE LOAD example_db.test_json_label_1 ON table1 COLUMNS(category, price, author) PROPERTIES ( "desired_concurrent_number"="3", "max_batch_interval" = "20", "max_batch_rows" = "300000", "max_batch_size" = "209715200", "strict_mode" =...
outer_array: true" -H "format: json" -T local_json_input.json -XPUT{"TxnId": 13021,"Label": "1f83c4a1-43ad-49d6-8134-5d40f3fc35c3","TwoPhaseCommit": "false","Status": "Success","Message": "OK","NumberTotalRows": 2,"NumberLoadedRows": 2,"NumberFilteredRows": 0,"Number...
format("Stream load failed. status: %s load result: %s", statusCode, loadResult)); } System.out.println("Get load result: " + loadResult); } } } private String basicAuthHeader(String username, String password) { final String tobeEncode = username + ":" + password; byte[] encoded =...
branchcode,ticketcode,orderstatus,billsource,tradeid,saletime,createtime,memberno,total,pdelete),WHERE saledate>='2021-06-01',DELETE ON pdelete=1PROPERTIES("desired_concurrent_number"="3","max_batch_interval" = "60","max_batch_rows" = "200000","max_batch_size" = "104857600","format"...