Yarn App Mapreduce Am Log Level

A forum specifically for Aboriginal and Torres Strait Islander workers in community legal centres is held on the Monday of the Quarterly. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. nodemanager. Demirbas' reading list is concerned with programming the datacenter, aka 'the Datacenter Operating System' - though I can't help but think of Mesosphere when I hear that latter phrase. Job: map 0% reduce 0% 2018-05-22 09:29:36,802 INFO mapreduce. 1 on ubuntu 15. Azure HDInsight is a fully managed cloud service for customers to do analytics at scale using the most popular open-source engines such as Hadoop, Hive/LLAP, Presto, Spark, Kafka, Storm, HBase etc. 0 Developer Certification Horotonworks Certification Tips and Guidelines I successfully completed this certification on Oct 24, 2014 with a passing score of 88%. The wool is soft to work with, did not adversely affect my skin in any way and this could be attributed to the light lanolin present in the yarn. This repository has been archived by the owner. Learn why it is reliable, scalable, and cost-effective. I have done all the required setup but when running the command: hadoop namenode -format. This section briefly describes how Flink and YARN interact. Learn how to access the logs for Apache Hadoop YARN (Yet Another Resource Negotiator) applications on an Apache Hadoop cluster in Azure HDInsight. Any problems email [email protected] In earlier releases, the NameNode was a single point of failure (SPOF) in a HDFS cluster. MapReduce can perform data processing through YARN with significant performance improvements. xml of your distribution. The memory available for the Containers (JVMs) is controlled with tez. to debug InputSplit generation), you need to set yarn. remote-app-log-dir and yarn. Optimizing Teravalidate. You can read job log entries using the gcloud logging read command. The following table describes the main advantages and considerations for each one. MRAppMaster Please check whether your etc/hadoop/mapred-stte. Apache Hadoop YARN: Understanding the Data Operating System of Hadoop in the AM, app history handling Compatible for existing MapReduce apps • YARN enables. Apache Hadoop-based big data systems such as HDInsight enable data processing using a wide range of tools and technologies. The MapReduce algorithm contains. bashrc was a really nice touch. 0 M1 release. mb to a higher. level=INFO \. max-retries: The number of client retries to the RM/HS before throwing exception. 1 YARN 测试 hadoop yarn 性能测试 yarn 控制 hadoop job idea 远程调试hadoop yarn local-dirs are bad: /hadoop. path can cause programs to no longer function if hadoop native libraries are used. To do so, it is simple. mapreduce任务占满整个集群资源 - 最近需要做一个POC测试,想要一个mapreduce的jar包,这个任务能够占满集群的资源,不知有没有哪位前辈能够提供个源代码或者解决办法。. mb and yarn. 1 installed, and Brenda has Yarn v1. Rscript can be crontabed without problem. In this blog, we will be discussing about. ml mapreduce. to debug InputSplit generation), you need to set yarn. Specifically you have to look at config param: yarn. By continuing to use. YARN Apache YARN (Yet Another Resource Negotiator) is Hadoop's cluster resource management system. Brilliant guides you through problem solving strategies and challenges you to think outside the box. To integrate YARN with HAWQ, use the following high-level steps. Skill Level: Intermediate. hadoop = DEBUG ) but I cant see. The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. enable true yarn. MapReduce can perform data processing through YARN with significant performance improvements. (1 reply) Hi, I have been trying to setup up Hadoop logging at the task level but with no success so far. However, the key difference is the new concept. Constant Field Value; public static final String: APPLICATION_ATTEMPT_ID MR_AM_LOG_LEVEL "yarn. Note; Yarn is usually referred as a synonym for MapReduce Version 2. jmxremote" # Note that the Flume conf directory is always included in the classpath. Typically, this directory can be found under the yarn. mb and a good starting point for this value may be yarn. This blog post was published on Hortonworks. Hadoop is supported by GNU/Linux platform and its flavors. How much memory will be allocated to the ApplicationMaster. The page has expired due to inactivity. Any guess what might went wrong, what to check or where to look? I am pretty new to hadoop so any hints are warmly appreciated. Amazon EMR supports many applications, such as Hive, Pig, and the Spark Streaming library to provide capabilities such as using higher-level languages to create processing workloads, leveraging machine learning algorithms, making stream processing applications, and building data warehouses. 2 MapReduce 2: In a nutshell • MapReduce is now a YARN app • No more map and reduce slots, it's containers now • No more JobTracker, it's YarnAppmaster library now • Multiple versions of MapReduce • The older mapredAPIs work without modification or recompilation • The newer mapreduce APIs may need to be recompiled. This is a constant value that should fit in the container maximum size. 2018-05-22 09:29:36,789 INFO mapreduce. Latest news. Both authors assume readers have some familiarity with Hadoop, Hive or both and use sample files. level=TRACE -Dmapreduce. A chief data officer (CDO) is a C-level executive who is responsible for an organization's data use and data governance. 0:8030 in the pig task,. second each yarn-yarn-resourcemanager-master02. I will start this Apache Spark vs Hadoop blog by first introducing Hadoop and Spark as to set the right context for both the frameworks. level=INFO \. One of the more significant changes is Yet Another Resource Negotiator (YARN). Any problems email [email protected] Yarn memory settings: HDInsight 3. ERROR while waiting for MapReduce job to complete - AM killed 0 After solving this problem , we are running into an issue with the application master container not being able to launch - it seems to be failing during resource localization stage. MRAppMaster Please check whether your etc/hadoop/mapred-stte. 12/04/2017; 5 minutes to read +1; In this article. MapReduce performance testing using teragen and terasort - sunileman/MapReduce-Performance_Testing. I am confused about library file of hadoop, as there are. Are you able to test with other jobs in the environment instead of just the Cluster Health job? The reason being that with other jobs, you can download a full Job Trace which contains more detailed logging and concise configuration for the job. YARN - Takes the Hadoop to Next Level ! Yeah it's no doubt the Yet Another Resource Negotiator(YARN) is the primary and key reasons for the Hadoop's next level which can leverage to streaming and real-time analytics. ml mapreduce. The actual answer was to set yarn. This reference guide is a work in progress. Some links, resources, or references may no longer be accurate. Both are Apache top-level projects, are often used together, and have similarities, but it's important to understand the features of each when deciding to implement them. Apache Spark, an in-memory data-processing framework, is now a top-level Apache project. 04 Start the Yarn MapReduce Job tracker not appear on slaves node. You can can set PYSPARK_ARCHIVES_PATH by using the oozie. By continuing to use. opts-server -XX:NewRatio=8 -Djava. MapReduce has undergone a complete overhaul in MRv2. Apache Hadoop 2. 0 introduced a simplified method of configuring applications using configuration classifications. I am excited to announce the general availability of HDInsight Integration with Azure Log Analytics. You'll find the logs in the YARN Resource Manager UI (during job execution) or in the MapReduce Job History UI (after job execution). This memory is controlled with tez. Once there, scroll to the bottom to the Job Log section and look for the line Submitted Application : Once the application_id is obtained, you can execute the following command from the command line on the Resource Manager to obtain the application logs: yarn logs -applicationId. path can cause programs to no longer function if hadoop native libraries are used. Apache Hadoop. Log into Facebook to start sharing and connecting with your friends, family, and people you know. The Hadoop Common package contains the Java ARchive (JAR) files and scripts needed to start Hadoop. x, Hadoop 2. nodemanager. Advanced configuration: Set the log level for all classes, along with a different level for some. Over time Hadoop evolved. Some links, resources, or references may no longer be accurate. 0 provides a more general processing platform, that is not constraining to this map and reduce kinds of processes. In this Hadoop Intermediate course, you'll learn about some advanced features and applications used in Hadoop, including YARN, Tez and Spark, Flume and NiFi, MapReduce, HBase, and how to create an HBase App. Client submits MapReduce job by interacting with Job objects; Client runs in it’s own JVM 2. It's NameNode is used to store Meta Data. The fundamental idea of MRv2's YARN architecture is to split up the two primary responsibilities of the JobTracker — resource management and job scheduling/monitoring — into separate daemons: a global ResourceManager (RM) and per-application. Setting property 'mapreduce. Create, distribute, host, and monetize your podcast, 100% free. In a YARN managed environment, HAWQ can request resources (containers) dynamically from YARN, and return resources when HAWQ's workload is not heavy. I am excited to announce the general availability of HDInsight Integration with Azure Log Analytics. How To Explain Hadoop To Non-Geeks Big data is a popular topic these days, not only in the tech media, but also among mainstream news outlets. mapreduce. Demirbas' reading list is concerned with programming the datacenter, aka 'the Datacenter Operating System' - though I can't help but think of Mesosphere when I hear that latter phrase. This lesson will focus on MapReduce and Sqoop in the Hadoop Ecosystem. I have also worked on Flume and MongoDB and have knowledge of Pig and Hive. In this blog, we will be discussing about. YARN (Yet Another Resource Negotiator) is a. Hadoop 的黄金时代. You'll find the logs in the YARN Resource Manager UI (during job execution) or in the MapReduce Job History UI (after job execution). I am not a YARN expert, but i shared this with bits and pieces of study. Hadoop 2 or YARN is the new version of Hadoop. 328s: passed: testBadMainClassPreExit. Setup the Hadoop user on all nodes: [email protected]:~# useradd -d /home/hadoop -s /bin/bash -u 600 hadoop. Troika is the first comprehensive configuration recommendation system for MapReduce 2. x release line. Familiarity with Java is necessary in case you need to troubleshoot. You'll find the logs in the YARN Resource Manager UI (during job execution) or in the MapReduce Job History UI (after job execution). -> 맵리듀스 잡의 입력 데이터 바이트 크기가 mapreduce. Learn how to use Apache Hive on YARN to allow Hadoop to support more varied processing Log In / Join. nodemanager. This Jira has been LDAP enabled, if you are an ASF Committer, please use your LDAP Credentials to login. Let's look at the objectives of this. In the next lesson of this tutorial, we will focus on MapReduce and Sqoop. We encourage you to learn about the project and contribute your expertise. Spark can run efficiently on top of Hadoop YARN, while Hadoop can easily integrate with Sqoop and Flume. preferIPv4Stack=true -Dhadoop. By continuing to use. Here are some of the most usual in case those apps complain they are missing:. 尽管 MapReduce 模型存在着多种开源实现,但 Hadoop MapReduce 很快就变得非常流行。Hadoop 也是全球最令人兴奋的开源项目之一,它提供了多项出色的功能:高级 API、近线性的可伸缩性、开源许可、在商用硬件上运行的能力,以及容错。. 0 to Hadoop 2. A chief data officer (CDO) is a C-level executive who is responsible for an organization's data use and data governance. 7 一: 多租户实现前,只有一个default队列 二 配置文件修改 yarn-site. The fundamental idea of MRv2's YARN architecture is to split up the two primary responsibilities of the JobTracker — resource management and job scheduling/monitoring — into separate daemons: a global ResourceManager (RM) and per-application. ) Background / Internals. This is great! Such fast creation of useful things that my heart sings! The Yarn Closet podcast is a spot where I hope to create knitting community and share my ‘yarn tubes’ through gift to participants and supporters🎉🎉 🙋🏼♀️ Please consider donating to expand our gifts and include yourself in our yarn community. The Google and Flipkart-experienced pair of Loonycorn will teach you Hadoop and MapReduce hands-on. To change the MR AM's default log level from INFO, set the job config: "yarn. 2) MapReduce. However, the key difference is the new concept. In a YARN managed environment, HAWQ can request resources (containers) dynamically from YARN, and return resources when HAWQ's workload is not heavy. Hortonworks Hadoop 2. preferIPv4Stack=true -Dhdp. To integrate YARN with HAWQ, use the following high-level steps. I have modified log4j. And value will be either x64 or Win32 for building on a 64-bit or 32-bit system. Try different map output compression codecs or disable it completely. level: INFO: Root Logging level passed to the Tez app master. container-log4j. preferIPv4Stack=true -Dhadoop. Apache Hadoop Community Promotes YARN -- But Don't Call it MapReduce 2. to debug InputSplit generation), you need to set yarn. remote-app-log-dir-suffix. When finshed, task tracker reports its status to the job tracker. At their core, YARN and MapReduce 2's improvements separate cluster resource management capabilities from MapReduce-specific logic. syslog_dag_{yarn_app_id}_{dag_id} This is the log. level=TRACE -Dmapreduce. Hi? How do I open the DEBUG level for YARN application master process I couldn't find the relevant configuration the set (probably need to add. We encourage you to learn about the project and contribute your expertise. On Mon, Apr 22, 2013 at 6:21 PM, Nitzan Raanan wrote: > Hi > > > > How do I open the DEBUG level for YARN application master process ?. interval-ms - How often the job history cleaner checks for files to delete, in milliseconds. The following table describes the main advantages and considerations for each one. Cloudera Administrator Training for Apache Hadoop Take your knowledge to the next level with Cloudera's Apache Hadoop Training and Certification Cloudera University's four-day administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate. It's NameNode is used to store Meta Data. This will enable debug logging for mapper/reducer tasks. To integrate YARN with HAWQ, use the following high-level steps. R and Rscript are on a path that every mapreduce job can access because i ran a streaming process with Ruby that is on the same system path. Introducing Apache Pig vs Apache Hive. Tag: apache,hadoop,mapreduce,yarn I've installed Hadoop Cluster Setup on Multiple Nodes (physical). level=INFO \. Ensure that all map tasks execute simultaneously. Rhdfs installed and work fine. MapReduce on YARN Job Execution 10 1. In this blog post I'll introduce you to YARN, what you can do with it, and how Spring simplifies the development of YARN based applications. And in Hadoop MapReduce is a programming model that scales data across a lot of different processes. You can also view the container log files directly in HDFS using the HDFS shell or API. Many will draw parallels between YARN and the existing Hadoop MapReduce system (MR1 in Apache Hadoop 1. The GitHub repository is very active and maintained by the creators, along with a few open source developers from different parts of the world. This module explains the nature of this. How to Rotate a video clip using iMovie HD « Editing App Store Description: Fast and easy - rotate your video 90CW, 90CCW and 180 degrees without quality loss. syslog_dag_{yarn_app_id}_{dag_id} This is the log. Client submits MapReduce job by interacting with Job objects; Client runs in it’s own JVM 2. location: If job tracker is static the history files are stored in this single well known place. 15 GB of storage, less spam, and mobile access. My main concern was that in technology world, we very commonly keep hearing the terms MapReduce and its so called later version YARN (though only implementation level, but yes, it has become the talk of the topic) together. mb 옵션 값 이하거나 yarn. I'm sure you've either figured this out already or moved on, but I'm hoping this will help others. On eclipse which jar files of hadoop-2x should be added for MapReduce program ? I am using hadoop-2. dir and yarn. However, the key difference is the new concept. One operation and maintenance 1. You can can set PYSPARK_ARCHIVES_PATH by using the oozie. At their core, YARN and MapReduce 2's improvements separate cluster resource management capabilities from MapReduce-specific logic. MapReduce is what constitutes the core of Apache Hadoop, which is an open source framework. I have modified log4j. 1 # Enviroment variables can be set here. Topics include: Hadoop, YARN, HDFS, MapReduce, data ingestion, workflow definition, using Pig and Hive to perform data analytics on Big Data and an introduction to Spark Core and Spark SQL. x, Hadoop 2. MapReduce 2. Dig Into JobHistory Server Of MapReduce In Hadoop2 JobHistory Server is a standalone module in hadoop2, and will be started or stopped separately apart from start-all. 7 一: 多租户实现前,只有一个default队列 二 配置文件修改 yarn-site. 1 YARN 测试 hadoop yarn 性能测试 yarn 控制 hadoop job idea 远程调试hadoop yarn local-dirs are bad: /hadoop. Hadoop Architecture Overview. hadoop,apache-spark,yarn,resourcemanager. Gmail is email that's intuitive, efficient, and useful. command-opts are configured for you automatically based on the Heap to Container Size Ratio. Amazon EMR offers the expandable low-configuration service as an easier alternative to running in-house cluster computing. Task=DEBUG log4j. It adds the yarn resource manager in addition to the HDFS and MapReduce components. [jira] [Updated] (AMBARI-10351) BE: YARN stack advisor not recommending all dependent configs: Date: Fri, 03 Apr 2015 15:52:55 GMT. Note : Variable name Platform is case sensitive. Because this policy is driven by YARNMemoryAvailablePercentage, it will be activated under low-memory conditions when I am running a YARN-based framework such as Spark, Tez, or Hadoop MapReduce. • tar Expand the tar file: ‐xvf slider 0. The page has expired due to inactivity. This feature makes HAWQ a native citizen of the whole Hadoop eco-system. At their core, YARN and MapReduce 2's improvements separate cluster resource management capabilities from MapReduce-specific logic. How to Rotate a video clip using iMovie HD « Editing App Store Description: Fast and easy - rotate your video 90CW, 90CCW and 180 degrees without quality loss. (Note: as of this writing, May 2013, TaskTracker is being obsoleted and replaced by "Yarn" in MapReduce v2. ) Background / Internals. For some background and general information around Hadoop please see my previous post:. What is MapReduce, or Hadoop MapReduce. This course focuses on skills which involve the implementation of the Hadoop framework. preferIPv4Stack=true -Dhdp. Topics include: Hadoop, YARN, HDFS, MapReduce, data ingestion, workflow definition, using Pig and Hive to perform data analytics on Big Data and an introduction to Spark Core and Spark SQL. For this App, we have the option to Uninstall the App or unpin it so it not shown in the Metro Start. Our Hive jobs are run on YARN, all set up in Amazon EMR. This lesson will focus on MapReduce and Sqoop in the Hadoop Ecosystem. This blog post in particular shows how you can enable DEBUG logging for YARN application jobs when you run them through Hive. sh and stop-all. Apache Hadoop-based big data systems such as HDInsight enable data processing using a wide range of tools and technologies. How to Rotate a video clip using iMovie HD « Editing App Store Description: Fast and easy - rotate your video 90CW, 90CCW and 180 degrees without quality loss. ReduceTask=DEBUG and log4j. YARN is the elephant sized change that Hadoop 2. To change the MR AM's default log level from INFO, set the job config: "yarn. 0 provides a more general processing platform, that is not constraining to this map and reduce kinds of processes. syslog_dag_{yarn_app_id}_{dag_id} This is the log. This is a layer above the IPC. opts-server -XX:NewRatio=8 -Djava. Apache Spark, an in-memory data-processing framework, is now a top-level Apache project. Once you right-click on an App you will see options that are specific to the particular app. sh and stop-all. level=TRACE -Dmapreduce. Skip to content. 0 Developer Certification Horotonworks Certification Tips and Guidelines I successfully completed this certification on Oct 24, 2014 with a passing score of 88%. Why run Spark on YARN? • YARN allows you to dynamically share and centrally configure the same pool of cluster resources between all frameworks that run on YARN. x features, YARN MapReduce Application Execution Flow YARN Workflow Anatomy of. Our Hive jobs are run on YARN, all set up in Amazon EMR. Both authors assume readers have some familiarity with Hadoop, Hive or both and use sample files. YARN takes into account all of the available compute resources on each machine in the cluster. In this blog, I am going to talk about how to configure and manage a High availability HDFS (CDH 5. We're super excited to let the cat out of the bag and release support for writing YARN based applications as part of the Spring for Apache Hadoop 2. Hortonworks Hadoop 2. Many will draw parallels between YARN and the existing Hadoop MapReduce system (MR1 in Apache Hadoop 1. Apache Hadoop NextGen MapReduce (YARN) MapReduce has undergone a complete overhaul in hadoop-0. preferIPv4Stack=true -Dhdp. ApplicationMaster is the application's first container launched by YARN ResourceManager, its memory requirement and JVM heap size are specified by yarn. Changed log level for various messages in ResourceManager:. This section briefly describes how Flink and YARN interact. Conclusion. command-opts. Administrator's Reference. NativeCodeLoader: Unable to load native-hadoop library for your platform using builtin-java classes where applicable. command-opts = 80% x yarn. Designed like an engaging game, it helps learners of Chinese learn Chinese Mandarin quickly to a conversational level. level=INFO \. This course focuses on skills which involve the implementation of the Hadoop framework. Create, distribute, host, and monetize your podcast, 100% free. nodemanager. Constant Field Value; public static final String: APPLICATION_ATTEMPT_ID MR_AM_LOG_LEVEL "yarn. With the uber-friendly staff/owner and wide selection for any knitter to enjoy; long story short this is the BEST yarn shop I've been to in the U. Covering multiple level of Big Data application. xml file on SQL Server. I am confused about library file of hadoop, as there are. I have also worked on Flume and MongoDB and have knowledge of Pig and Hive. 5-Hour Deep Dive Into Top Tools & Technologies. The authors of Hadoop addressed the need to grow Hadoop beyond MapReduce architecturally by decoupling the resource management features built in to MapReduce from the programming model of MapReduce. As part of the recent release of Hadoop 2 by the Apache Software Foundation, YARN and MapReduce 2 deliver significant upgrades to scheduling, resource management, and execution in Hadoop. Note; Yarn is usually referred as a synonym for MapReduce Version 2. The following are Jave code examples for showing how to use createJob() of the org. I'm using log aggregation on YARN with Spark and I am not able to see the logs through the YARN web UI after the application completes: Failed redirect for container_1425390894284_0066_01_000001 Failed while trying to construct the redirect url to the log server. I would love this feature. Hadoop is a complex system with many components. XX , should get 256M as define in Advanced yarn-log4j , but from looking under /var/log/hadoop-yarn/yarn , each backup is only 4K. Ensure that all map tasks execute simultaneously. The Big Data Hadoop Certification course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. Setup your own Raspberry PI 2 Hadoop 2 cluster (Raspberry PI 2 Model B and Hadoop 2. Qubole has some optimizations in the cloud object storage access and has enhanced it with its autoscaling code. In this blog, we will be discussing about. command-opts and thus its options can be overridden user. Rscript can be crontabed without problem. When using an AMI version, you configure applications using bootstrap. You don't have to ask your administrator for help. Error: Could not find or load main class org. In part 1 of this blog series, I provided instructions on configuring a Spark cluster environment using Hadoop YARN running on highly-reliable Fujitsu M10/Fujitsu SPARC M12 servers. For example, you can set schedules and manage events, and resources at the folder level, to be applied to all jobs in the folder. Let me explain about Apache Pig vs Apache Hive in more details. How to run a Job when Default queue is not present. x (Yarn) introduced the concept of containers. Determine YARN and MapReduce Memory Configuration Settings This section describes how to configure YARN and MapReduce memory allocation settings based on the node hardware specifications. level" public static final String: MR_AM_MAX. This article will guide you on how you can install and configure Apache Hadoop on a single node cluster in CentOS 7, RHEL 7 and Fedora 23+ releases. Apache Hadoop 2. How to Rotate a video clip using iMovie HD « Editing App Store Description: Fast and easy - rotate your video 90CW, 90CCW and 180 degrees without quality loss. Welcome to Capistrano Valley Christian Schools! Our goal is to provide our students with a distinctively Biblical worldview education. There are many new features that are introduced in Hadoop 3. Job’s code interacts with Resource Manager to acquire. Regards, Mark. x release line. opts, and yarn. version=${hdp. opts-server -XX:NewRatio=8 -Djava. [[email protected] ~]# hadoop jar hadoop-mapreduce-examples. ReduceTask=DEBUG and log4j. Hadoop HA+yarn集群配置好后,跑pi失败,AM启动两次失败 - yarn-site. Hi, When i submit a MR job, i am getting this from AM UI but it never get finished, what am i missing. preferIPv4Stack=true -Dhadoop. env property. ; If JDK installation path contains any space then use Windows shortened name (say 'PROGRA~1' for 'Program Files') for the JAVA_HOME environment variable. It is also possible to write other types of applications, having nothing to do with MapReduce, and then run them on YARN. Constant Field Value; public static final String: INPUT_DIR_NONRECURSIVE_IGNORE_SUBDIRS MR_AM_LOG_LEVEL "yarn. Default value: 3. MapReduce with YARN Hadoop Architecture Problem with Hadoop 1. MapReduce is what constitutes the core of Apache Hadoop, which is an open source framework. Qubole has some optimizations in the cloud object storage access and has enhanced it with its autoscaling code. yarn多租户配置管理(CapacityScheduler) hadoop的版本为2. Edmentum periodically performs scheduled maintenance on the Study Island platform on Fridays beginning at 11 p. I would love this feature. Customizing Cluster and Application Configuration With Earlier AMI Versions of Amazon EMR Amazon EMR release version 4. Become a patron of yarn today: Read 458 posts by yarn and get access to exclusive content and experiences on the world’s largest membership platform for artists and creators. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: