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- 来自专栏岑玉海
Hive Tuning(四) 从查询计划看hive.auto.convert.join的好处
Map Reduce Stage: Stage-3 Map Reduce Stage: Stage Only 2 Map Reduces Stage: Stage-8 Map Reduce Stage: Stage
99470发布于 2018-03-01 - 来自专栏Soul Joy Hub
spark-shell用非sql API 改写 hql
Kill Command = /usr/lib/hadoop/bin/hadoop job -kill job_1471250735061_0009 Hadoop job information for Stage -4: number of mappers: 2; number of reducers: 1 2016-08-29 11:36:36,161 Stage-4 map = 0%, reduce = 0% 2016-08-29 11:36:50,781 Stage-4 map = 100%, reduce = 0%, Cumulative CPU 2.96 sec 2016-08-29 11:36:59,168 Stage-4 map = 100%, reduce = 100%, Cumulative CPU 5.4 sec MapReduce Total cumulative CPU time: 5 seconds
61240发布于 2019-02-13 - 来自专栏数据仓库践行者
with as 语句真的会把查询的数据存内存嘛？
DEPENDENCIES: Stage-1 is a root stage Stage-6 depends on stages: Stage-1 , consists of Stage-3, Stage-2, Stage Stage-0 depends on stages: Stage-3, Stage-2, Stage-5 Stage-8 depends on stages: Stage-0 Stage-2 Stage -4 Stage-5 depends on stages: Stage-4 Stage-7 depends on stages: Stage-8 STAGE PLANS: Stage: Stage serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe name: default.atable Stage: Stage
2.6K40发布于 2021-04-09 - 来自专栏五分钟学大数据
Hive底层原理：explain执行计划详解
,b.user_name from test1 a join test2 b on a.id=b.id where a.id >2; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS : Stage: Stage-4 Map Reduce Local Work Alias -> Map Local Tables: $hdt$_0:a from(select * from test1 where id>2 ) a join test2 b on a.id=b.id; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS
1.2K10发布于 2021-03-04 - 来自专栏五分钟学大数据
Hive底层原理：explain执行计划详解
,b.user_name from test1 a join test2 b on a.id=b.id where a.id >2; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS : Stage: Stage-4 Map Reduce Local Work Alias -> Map Local Tables: $hdt$_0:a from(select * from test1 where id>2 ) a join test2 b on a.id=b.id; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS
4K11发布于 2021-02-20 - 来自专栏Michael阿明学习之路
HiveQL： 数据操作
Hadoop) 2021-04-08 22:41:40,081 Stage-1 map = 100%, reduce = 0% Ended Job = job_local1437521177_0001 Stage Stage-4 is filtered out by condition resolver. Stage-6 is filtered out by condition resolver.
38630发布于 2021-09-06 - 来自专栏WflynnWeb
babel ES6 转换 ES5 实现原理
语法通过配置好的 plugins（babel-traverse 对 AST 进行遍历转译）和 presets （es2015 / es2016 / es2017 / env / stage-0 / stage -4 其中 es20xx 表示转换成该年份批准的标准，env 是最新标准，stage-0 和 stage-4 是实验版）转换成新的 AST 语法。
1K20编辑于 2022-10-28 - 来自专栏星汉技术
Hive动态分区之多分区
1.82 sec MapReduce Total cumulative CPU time: 1 seconds 820 msec Ended Job = job_1592152196890_0006 Stage 1.97 sec MapReduce Total cumulative CPU time: 1 seconds 970 msec Ended Job = job_1592152196890_0003 Stage 1.78 sec MapReduce Total cumulative CPU time: 1 seconds 780 msec Ended Job = job_1592152196890_0009 Stage 1.4 sec MapReduce Total cumulative CPU time: 1 seconds 400 msec Ended Job = job_1592152196890_0008 Stage 1.39 sec MapReduce Total cumulative CPU time: 1 seconds 390 msec Ended Job = job_1592152196890_0010 Stage
2.8K30编辑于 2021-12-31 - 来自专栏全栈程序员必看
es6类型转换_单片机ad转换原理
语法通过配置好的 plugins（babel-traverse 对 AST 进行遍历转译）和 presets （es2015 / es2016 / es2017 / env / stage-0 / stage -4 其中 es20xx 表示转换成该年份批准的标准，env 是最新标准，stage-0 和 stage-4 是实验版）转换成新的 AST 语法。
44810编辑于 2022-11-09 - 来自专栏xingoo, 一个梦想做发明家的程序员
[Hadoop大数据]——Hive数据的导入导出
Hadoop) 2016-08-23 21:27:21,621 Stage-1 map = 100%, reduce = 0% Ended Job = job_local1550375778_0001 Stage Hadoop) 2016-08-23 21:39:46,030 Stage-1 map = 100%, reduce = 0% Ended Job = job_local855333165_0003 Stage Stage-4 is filtered out by condition resolver.
4.2K70发布于 2018-01-17 - 来自专栏五分钟学大数据
万字长文详解HiveSQL执行计划
,b.user_name from test1 a join test2 b on a.id=b.id where a.id >2; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS : Stage: Stage-4 Map Reduce Local Work Alias -> Map Local Tables: $hdt$_0:a from(select * from test1 where id>2 ) a join test2 b on a.id=b.id; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS
1.4K21发布于 2021-07-07 - 来自专栏大数据学习笔记
Hadoop基础教程-第11章 Hive：SQL on Hadoop（11.3 Hive 快速入门）
2.36 sec MapReduce Total cumulative CPU time: 2 seconds 360 msec Ended Job = job_1502371586068_0001 Stage 2.34 sec MapReduce Total cumulative CPU time: 2 seconds 340 msec Ended Job = job_1502371586068_0002 Stage 2.35 sec MapReduce Total cumulative CPU time: 2 seconds 350 msec Ended Job = job_1502371586068_0003 Stage
1.1K100发布于 2018-01-02 - 来自专栏大数据学习笔记
Hadoop基础教程-第11章 Hive：SQL on Hadoop（11.6 HQL：DML数据操纵）（草稿）
1.83 sec MapReduce Total cumulative CPU time: 1 seconds 830 msec Ended Job = job_1502887685471_0002 Stage 1.83 sec MapReduce Total cumulative CPU time: 1 seconds 830 msec Ended Job = job_1502887685471_0002 Stage Stage-4 is filtered out by condition resolver.
66880发布于 2018-01-02 - 来自专栏五分钟学大数据
实操 | Hive 数据倾斜问题定位排查及解决
确定任务卡住的 stage 通过 jobname 确定 stage： 一般 Hive 默认的 jobname 名称会带上 stage 阶段，如下通过 jobname 看到任务卡住的为 Stage-4： 通过参考执行计划，可以断定该阶段为 Stage-4 阶段： 2. 确定 SQL 执行代码 确定了执行阶段，即 stage。通过执行计划，则可以判断出是执行哪段代码时出现了倾斜。
3K31发布于 2021-09-22 - 来自专栏AI前沿技术
Deepseek-R1 训练过程，两步四阶段，一图搞定！
stage-4：RL 训练范式：checkpoint-#2 + 全场景数据 目标：考虑全场景，与人的偏好进一步的对齐消除有毒有害内容。
70210编辑于 2026-01-13 - 来自专栏星汉技术
Hive动态分区
1.19 sec MapReduce Total cumulative CPU time: 1 seconds 190 msec Ended Job = job_1592121918794_0001 Stage 1.19 sec MapReduce Total cumulative CPU time: 1 seconds 190 msec Ended Job = job_1592152196890_0001 Stage 1.26 sec MapReduce Total cumulative CPU time: 1 seconds 260 msec Ended Job = job_1592121918794_0003 Stage
3.1K10编辑于 2021-12-31 - 来自专栏Spark学习技巧
HiveSQL技术原理、优化与面试
,b.user_name from test1 a join test2 b on a.id=b.id where a.id >2; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS : Stage: Stage-4 Map Reduce Local Work Alias -> Map Local Tables: $hdt$_0:a from(select * from test1 where id>2 ) a join test2 b on a.id=b.id; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS
1.3K12编辑于 2022-04-18 - 来自专栏3D视觉从入门到精通
OCRNet: 目标区域上下文信息的特征表达 | ECCV 2020
关系上下文： 通过计算每个像素的上下文考虑关系信息： 主题框架有两种，一是采用ResNet-101(输出步幅为8)，二是HRNet-W48(输出步幅为4)，前者的stage-3用来预测初略的分割图，将stage
1.9K30发布于 2020-12-11 - 来自专栏分布式系统和大数据处理
使用.net通过odbc访问Hive
CPU 2.02sec MapReduce Total cumulative CPU time: 2 seconds 20 msec Ended Job = job_1532510920759_0002 Stage
4.6K40发布于 2018-09-29 - 来自专栏Spark学习技巧
Hive重点难点：Hive原理&优化&面试
,b.user_name from test1 a join test2 b on a.id=b.id where a.id >2; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS : Stage: Stage-4 Map Reduce Local Work Alias -> Map Local Tables: $hdt$_0:a from(select * from test1 where id>2 ) a join test2 b on a.id=b.id; OK Explain STAGE DEPENDENCIES: Stage -4 is a root stage Stage-3 depends on stages: Stage-4 Stage-0 depends on stages: Stage-3 STAGE PLANS
1.7K10编辑于 2022-01-13
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