一百八十一、Hive——海豚调度HiveSQL任务时当Hive的计算引擎是mr或spark时脚本的区别（踩坑，附截图）

一、目的

当Hive的计算引擎是spark或mr时，发现海豚调度HQL任务的脚本并不同，mr更简洁

二、Hive的计算引擎是Spark时

（一）海豚调度脚本

#! /bin/bash

source /etc/profile

nowdate=`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.auto.convert.join=false;
set mapreduce.map.memory.mb=10150;
set mapreduce.map.java.opts=-Xmx6144m;
set mapreduce.reduce.memory.mb=10150;
set mapreduce.reduce.java.opts=-Xmx8120m;
set hive.exec.dynamic.partition.mode=nonstrict;
set hive.exec.dynamic.partition=true;
set hive.exec.parallel=true;
set hive.support.concurrency=false;
set mapreduce.map.memory.mb=4128;
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;

insert overwrite table dwd_evaluation partition(day='$yesdate')

select device_no,

cycle,

lane_num,

create_time,

lane_no,

volume,

queue_len_max,

sample_num,

stop_avg,

delay_avg,

stop_rate,

travel_dist,

travel_time_avg

from hurys_dc_ods.ods_evaluation

where volume is not null and date(create_time)= '$yesdate'

group by device_no, cycle, lane_num, create_time, lane_no,

volume, queue_len_max, sample_num, stop_avg, delay_avg, stop_rate, travel_dist, travel_time_avg

（二）任务流执行结果

调度执行成功，时间需要1m29s

三、Hive的计算引擎是MR时