tk域名_上海网站建设公司哪家好_我是新手如何做电商_seo教程技术

在使用Apache DolphinScheduler调度执行复杂的HiveSQL时，HQL包含多种海豚无法正确识别的符号，怎么办？本文提供了可行的思路和方法，供用户参考。

一、目的

在Hive中完成复杂JSON，既有对象还有数组而且数组中包含数组的解析后，原本以为没啥问题了，结果在DolphinScheduler中调度又出现了大问题，搞了一天。试了很多种方法，死了无数脑细胞，才解决了这个问题！

二、HiveSQL

insert  overwrite  table  hurys_dc_dwd.dwd_json_statistics partition(day)
selectt1.device_no,source_device_type,sn,model,create_time,cycle,get_json_object(coil_list,'$.laneNo')  lane_no,get_json_object(coil_list,'$.laneType')           lane_type,section_no,get_json_object(coil_list,'$.coilNo')             coil_no,get_json_object(coil_list,'$.volumeSum')          volume_sum,get_json_object(coil_list,'$.volumePerson')       volume_person,get_json_object(coil_list,'$.volumeCarNon')       volume_car_non,get_json_object(coil_list,'$.volumeCarSmall')     volume_car_small,get_json_object(coil_list,'$.volumeCarMiddle')    volume_car_middle,get_json_object(coil_list,'$.volumeCarBig')       volume_car_big,get_json_object(coil_list,'$.speedAvg')           speed_avg,get_json_object(coil_list,'$.speed85')            speed_85,get_json_object(coil_list,'$.timeOccupancy')      time_occupancy,get_json_object(coil_list,'$.averageHeadway')     average_headway,get_json_object(coil_list,'$.averageGap')         average_gap,substr(create_time,1,10) day
from (selectget_json_object(statistics_json,'$.deviceNo')          device_no,get_json_object(statistics_json,'$.sourceDeviceType')  source_device_type,get_json_object(statistics_json,'$.sn')                sn,get_json_object(statistics_json,'$.model')             model,get_json_object(statistics_json,'$.createTime')        create_time ,get_json_object(statistics_json,'$.data.cycle')        cycle,get_json_object(replace(replace(section_list,':{',':[{'),'}}','}]}'),'$.sectionNo') section_no,section_list
from hurys_dc_ods.ods_statistics
lateral view explode(split(replace(replace(replace(get_json_object(statistics_json,'$.data.sectionList'),'[',''),']',''),'},{"sectionNo"','}|{"sectionNo"'),"\\|")) tf as section_listwhere day='2024-07-18' --  date_sub(current_date(), 1)   -- '2024-07-18' --) as t1
lateral view explode(split(replace(replace(replace(get_json_object(replace(replace(section_list,':{',':[{'),'}}','}]}'),'$.coilList'),'[',''),']',''),'},','}|'),"\\|")) tf1 as coil_listwhere substr(create_time,1,10) =  '2024-07-18' --date_sub(current_date(), 1)   --'2024-07-17'
;

三、原先海豚的任务调度方式

在shell脚本里添加HiveSQL语句

#! /bin/bash
source /etc/profilenowdate=`date --date='0 days ago' "+%Y%m%d"`
yesdate=`date -d yesterday +%Y-%m-%d`hive -e "
use hurys_dc_dwd;set hive.vectorized.execution.enabled=false;set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.max.dynamic.partitions.pernode=1000;
set hive.exec.max.dynamic.partitions=1500;with t1 as(
selectget_json_object(statistics_json,'$.deviceNo')          device_no,get_json_object(statistics_json,'$.sourceDeviceType')  source_device_type,get_json_object(statistics_json,'$.sn')                sn,get_json_object(statistics_json,'$.model')             model,get_json_object(statistics_json,'$.createTime')        create_time ,get_json_object(statistics_json,'$.data.cycle')        cycle,get_json_object(replace(replace(section_list,':{',':[{'),'}}','}]}'),'$.sectionNo') section_no,section_list
from hurys_dc_ods.ods_statistics
lateral view explode(split(replace(replace(replace(get_json_object(statistics_json,'$.data.sectionList'),'[',''),']',''),'},{"sectionNo"','}|{"sectionNo"'),"\\\\|")) tf as section_listwhere day='$yesdate'
)
insert  overwrite  table  hurys_dc_dwd.dwd_json_statistics partition(day)
selectt1.device_no,source_device_type,sn,model,substr(create_time,1,19)                          create_time ,cycle,get_json_object(coil_list,'$.laneNo')  lane_no,get_json_object(coil_list,'$.laneType')           lane_type,section_no,get_json_object(coil_list,'$.coilNo')             coil_no,get_json_object(coil_list,'$.volumeSum')          volume_sum,get_json_object(coil_list,'$.volumePerson')       volume_person,get_json_object(coil_list,'$.volumeCarNon')       volume_car_non,get_json_object(coil_list,'$.volumeCarSmall')     volume_car_small,get_json_object(coil_list,'$.volumeCarMiddle')    volume_car_middle,get_json_object(coil_list,'$.volumeCarBig')       volume_car_big,get_json_object(coil_list,'$.speedAvg')           speed_avg,get_json_object(coil_list,'$.speed85')            speed_85,get_json_object(coil_list,'$.timeOccupancy')      time_occupancy,get_json_object(coil_list,'$.averageHeadway')     average_headway,get_json_object(coil_list,'$.averageGap')         average_gap,substr(create_time,1,10) day
from t1
lateral view explode(split(replace(replace(replace(get_json_object(replace(replace(section_list,':{',':[{'),'}}','}]}'),'$.coilList'),'[',''),']',''),'},','}|'),"\\\\|")) tf1 as coil_listwhere  substr(create_time,1,10) ='$yesdate'
"

四、原先方式报错日志

file

DolphinScheduler无法正确识别HiveSQL里解析复杂JSON的多种符号。

五、解决方式

把HiveSQL放在一个SQL文件里，然后在脚本里是执行Hive的sourceSQL文件。

1 SQL文件

file

--使用hurys_dc_ods数据库 use hurys_dc_dwd;

--hive调优（必须先执行调优语句，否则部分复杂SQL运行会有问题） set hive.vectorized.execution.enabled=false; --开启动态分区功能（默认 true，开启） set hive.exec.dynamic.partition=true; --设置为非严格模式 nonstrict 模式表示允许所有的分区字段都可以使用动态分区 set hive.exec.dynamic.partition.mode=nonstrict; --在每个执行 MR 的节点上，最大可以创建多少个动态分区 set hive.exec.max.dynamic.partitions.pernode=1000; --在所有执行 MR 的节点上，最大一共可以创建多少个动态分区。默认 1000 set hive.exec.max.dynamic.partitions=1500;

insert  overwrite  table  hurys_dc_dwd.dwd_json_statistics partition(day)
selectt1.device_no,source_device_type,sn,model,create_time,cycle,get_json_object(coil_list,'$.laneNo')  lane_no,get_json_object(coil_list,'$.laneType')           lane_type,section_no,get_json_object(coil_list,'$.coilNo')             coil_no,get_json_object(coil_list,'$.volumeSum')          volume_sum,get_json_object(coil_list,'$.volumePerson')       volume_person,get_json_object(coil_list,'$.volumeCarNon')       volume_car_non,get_json_object(coil_list,'$.volumeCarSmall')     volume_car_small,get_json_object(coil_list,'$.volumeCarMiddle')    volume_car_middle,get_json_object(coil_list,'$.volumeCarBig')       volume_car_big,get_json_object(coil_list,'$.speedAvg')           speed_avg,get_json_object(coil_list,'$.speed85')            speed_85,get_json_object(coil_list,'$.timeOccupancy')      time_occupancy,get_json_object(coil_list,'$.averageHeadway')     average_headway,get_json_object(coil_list,'$.averageGap')         average_gap,substr(create_time,1,10) day
from (selectget_json_object(statistics_json,'$.deviceNo')          device_no,get_json_object(statistics_json,'$.sourceDeviceType')  source_device_type,get_json_object(statistics_json,'$.sn')                sn,get_json_object(statistics_json,'$.model')             model,get_json_object(statistics_json,'$.createTime')        create_time ,get_json_object(statistics_json,'$.data.cycle')        cycle,get_json_object(replace(replace(section_list,':{',':[{'),'}}','}]}'),'$.sectionNo') section_no,section_list
from hurys_dc_ods.ods_statistics
lateral view explode(split(replace(replace(replace(get_json_object(statistics_json,'$.data.sectionList'),'[',''),']',''),'},{"sectionNo"','}|{"sectionNo"'),"\\|")) tf as section_listwhere day= date_sub(current_date(), 1)) as t1
lateral view explode(split(replace(replace(replace(get_json_object(replace(replace(section_list,':{',':[{'),'}}','}]}'),'$.coilList'),'[',''),']',''),'},','}|'),"\\|")) tf1 as coil_list
where substr(create_time,1,10) =  date_sub(current_date(), 1)
;

2 海豚任务执行脚本

file

#! /bin/bash
source /etc/profilenowdate=`date --date='0 days ago' "+%Y-%m-%d"`
yesdate=`date -d yesterday +%Y-%m-%d`hive -e "
source   dwd_json_statistics.sql
"

3 执行任务，验证结果

file

终于解决了！以后碰到类似调度器识别不了SQL里符号的问题，可以用这个方法，把SQL放在SQL文件里，然后在脚本里执行这个SQL文件，这样就能规避这类问题了。

转载自天地风雷水火山泽原文链接：https://blog.csdn.net/tiantang2renjian/article/details/140605840

本文由白鲸开源科技提供发布支持！