Spark+ Read+ Gzip+ File

Introduction. Spark job to read gzip files, ignoring corrupted files - FilterBadGzipFiles. The merge happens at the stripe level, which avoids decompressing and decoding the data. Python Read Gzip File Line By Line. •acceleration of both reading and writing usingnumba. 0-1245/accumulo does not exist!. java_plain. gz instead of just zip; I don't know, I haven't tried. The GzipFile class reads and writes gzip-format files, automatically compressing or decompressing the data so that it looks like an ordinary file object. This page explains how to read an existing zip file or add a existing file into the zip file. org, including the xlwt library to create Excel files. It has a sharp 1080p display for enjoying flicks and photos, a big 1TB hard drive for all of your files and M. , my/directory/*. To read an input text file to RDD, use SparkContext. When writing files the API accepts the following options: path: location of files. format("csv"). Read files into a list. gz files either¶ A common trick on Hadoop to ensure that segments of your data don’t get split between mappers is to gzip each segment (since. Thankfully this is very easy to do in Spark using Spark SQL DataFrames. 2 requires Servlet 3. PHP file Download Script to download any file. if you can not play streams. compression. Unix file and directory permission is in the form of a 3×3 structure. StringType(). gzip -cd file. gz files (compressed csv text files). Parquet files are self-describing so the schema is preserved. I am processing files placed in HDFS using Spark streaming. Read data from a plain-text file from on-premises File System, compress it using GZip format, and write the compressed data to an Azure blob. Each member file consists of a header block (as described later in this page) followed by 0 or more blocks containing the file contents. This article contains information regarding sparse files, their creation, maintenance, and expansion. Assume I have 2 gz files with 2 lines each as below a. 3 seconds for scenario two. This Spark tutorial explains how to install Apache Spark on a multi-node cluster. TGZ files perform a similar role as ZIP files that are more familiar to Windows users, but unlike ZIP, Windows does not contain any built-in support for working with TGZ files. Log aggregation typically collects physical log files off servers and puts them in a central place (a file server or HDFS perhaps) for processing. There are many programs to compress and decompress files in Linux. It has a sharp 1080p display for enjoying flicks and photos, a big 1TB hard drive for all of your files and M. Any object in python can be pickled so that it can be saved on disk. - 7-Zip File Manager now can use RAM buffers instead of temp files to open nested archives, if temp file is smaller than 1/4 of RAM size. This creates a problem while reading the files using Apache Spark. It is useful for extracting wanted files out of other files in a variety of circumstances. 04 (released October 29, 2013), it does produce a rendition of the Keynote '09 format good enough to adequately please these tools. Moving a File or Directory. Deadline has brought word that Sony's upcoming reboot of the 1996 teen horror cult classic The Craft has found another major cast member in the form of The X-Files and Californication vet David Duchovny. • Spark is good for distributed computing tasks, and can. zip fails, while the same gzip succeeds. Skip to content. How to show hidden files in Windows 7. hadoopConfiguration) conf. It is possible by generating and executing a CREATE TABLE statement to define the data’s layout in Hive. gz on the end. Spark; SPARK-24407; Spark + Parquet + Snappy: Overall compression ratio loses after spark shuffles data. This is the best way to Learn C# for beginners. Select all the files and folders inside the compressed file. The input filename extension determines which supported codec is used to automatically decompress the data. This post could also be called Reading. Spark can read files residing on the local filesystem, any storage source supported by Hadoop, Amazon S3, and so on. # Creates the file if not present, otherwise overwrites it. We hope we helped you solve the problem with the B1 file. Type at the command prompt. The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang. The end of the archive is indicated by two blocks filled with binary zeros. textFile as you did, or sqlContext. Download that, and read instructions. gz compressed files, If I create an external table pointing to a. The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang. Extract SQL Server Data to CSV files in SSIS (Bulk export) and Split / GZip Compress / upload files to Amazon S3 (AWS Cloud) Method-1 : Upload SQL data to Amazon S3 in Two steps In this section we will see first method (recommended) to upload SQL data to Amazon S3. Caching frequently requested files that change very infrequently is a technique for reducing server load. Hi there, I've started using Spark recently and evaluating possible use cases in our company. parquet") // Read in the parquet file created above. gz), the extension can also be shortened to. gz, while keeping the same ownership modes, access and modification times. How to read gz files in Spark using wholeTextFiles Tag: hadoop , gzip , apache-spark , gz I have a folder which contains many small. Support for gzip input files should work the same as it does in Hadoop. The powerful open-source mod manager from Nexus Mods. Use the zipfile module to read or write. The GzipFile class reads and writes gzip-format files, automatically compressing or decompressing the data so that it looks like an ordinary file object. Along with that it can be configured in local mode and standalone mode. results in modifying this file and renaming it file. Succinct on Apache Spark: Queries on Compressed RDDs Posted on November 5, 2015 by Rachit Agarwal tl;dr Succinct is a distributed data store that supports a wide range of point queries (e. Schema changes, including a bump to version 0. Zeppelin's current main backend processing engine is Apache Spark. gz" and prints its contents out, uncompressed. java_plain. File I/O (Featuring NIO. Apache Spark 2. RELATED: Nicholas Galitzine Joins Blumhouse's The Craft Reboot. the Inspiron is the only computer to boast a fourth USB slot. A solid archive is one where all the files are compressed together. The full code is available as a gist if you want to play around with it. The latter is commonly found in hive/Spark usage. All with the same code, on the same interface, with the same language (today, we’ll do Python). Once in files, many of the Hadoop databases can bulk load in data directly from files, as long as they are in a specific format. Commonly used on UNIX and Linux systems, TAR archives bundle a collection of files into a single file for easier distribution or backup. Tarball mode from linux-3. Back in 2012, we added a "Download Multiple Files" option to Teamwork Projects. Increasing this buffer size will therefore prevent the server using chunked encoding also for larger files, causing the Content-Length to be sent even for zipped data. parquet() method to read these files from HDFS on multi-node cluster. Spark SQL – Write and Read Parquet files in Spark March 27, 2017 April 5, 2017 sateeshfrnd Leave a comment In this post, we will see how to write the data in Parquet file format and how to read Parquet files using Spark DataFrame APIs in both Python and Scala. 192 total Umidigi F1Twrp 3. When writing files the API accepts the following options: path: location of files. The code I wrote only leverages Spark RDDs to focus on read performance: val filename = "" val file = sc. Цена неизвестна. You need to ensure the package spark-csv is loaded; e. Spark output compression on HDFS. The structure and test tools are mostly copied from CSV Data Source for Spark. Untar the Drill software on your Linux, Mac, or Windows laptop and run a query on a local file. In this tutorial, we're going to learn about two applications only. MapReduce, Spark, and Hive are three primary ways that you will interact with files stored on Hadoop. AICP Rom for MT6737 is a De-Odexed rom which is also good for gaming as well as daily basis or heavy multitasking performance. Currently ng2-file-upload contains two directives: ng2-file-select and ng2-file-drop. The copy_file_range() system call performs an in-kernel copy between. Is it possible to read gzipped files using wholeTextFiles()? Alternately, is it possible to read the source file names using textFile() ? « Return to Apache Spark User List | 1 view|%1 views. For many systems, REBOL is distributed as a tar gz file. Option 1: keep the files compressed on disk. If you try to read this files with Spark (or Hadoop) all you gonna get is gibberish. xml file location 5. File4net is a file upload service that pays you money for your downloads. ls // Create the directory in to hdfs for storing the files. Unix file and directory permission is in the form of a 3×3 structure. gz" extension will be removed. Along with that it can be configured in local mode and standalone mode. Ok so the best place then to put the file is in your ,home folder. In one scenario, only seven of the files existed. If given a file as an argument, gzip compresses the file, adds a ". The input filename extension determines which supported codec is used to automatically decompress the data. 1) contain Apache Solr, html documentation and a tutorial. Spark can read files residing on the local filesystem, any storage source supported by Hadoop, Amazon S3, and so on. 5 billion rows a day • Reading: • Row store always reads all data from a file. We have set the session to gzip compression of parquet. If you try to read this files with Spark (or Hadoop) all you gonna get is gibberish. Untar the Drill software on your Linux, Mac, or Windows laptop and run a query on a local file. Join the world's most active Tech Community! Welcome back to the World's most active Tech Community!. The Parquet format is columnar and helps to speed up the operation. gz") should automatically decompress and read gzip-compressed files ( textFile() is actually implemented using Hadoop's TextInputFormat , which supports gzip-compressed files). 0 of the Big Data Genomics Avro data formats, were made to support the read metadata performance improvements. Reading pcap files in c. While many devices use standard SquashFS file systems that can be extracted using the unsquashfs tools provided in the firmware mod kit, you will inevitably encounter some implementations that are…special. gz extension. Various AWS Glue PySpark and Scala methods and transforms specify connection parameters using a connectionType parameter and a connectionOptions parameter. So: You cannot update specific files in solid archives with the "u" command. In fact, that's the reason we use a context manager when reading from a file. Open the compressed file by navigating to the folder using the WinZip Files pane and double clicking on the compressed file. If you receive a raw pickle file over the network, don't trust it! It could have malicious code in it, that would run arbitrary python when you try to de-pickle it. This step is commonly used to generate comma separated values (CSV) files that can be read by spreadsheet applications, and can also … Text File Output - Pentaho Documentation. Steve_Davis 2006-12-08 11:31:12 UTC #26 i’'m another one who can grab the full download but not the online version. Sidhartha has 4 jobs listed on their profile. If you read the Web API tutorials from docs. Needless to say, finding a set of headers that works for all file types in all browsers is next to impossible. bzip2 creates about 15% smaller files than gzip. By using the same dataset they try to solve a related set of tasks with it. When you extract a compressed tar file, you effectively uncompress it, then extract the original files from the uncompressed tar file. The result will be a new directory containing the files. If I am trying to change the ownership (chown) of the previously copied file to 'agi', I will receive the message that the operation is not permitted. Vestel Venus V4. Jenkinson (Springer, 2000); that was my inspiration to start. When writing files the API accepts the following options: path: location of files. When a file is loaded from disk it will try to split the file into blocks in order to distribute across the cluster's worker nodes. gz files (compressed csv text files). Any object in python can be pickled so that it can be saved on disk. sparkContext. To create a *. How to read Gzip compressed files in Linux command line. In single-line mode, a file can be split into many parts and read in parallel. 9 indicates the compression setting passed to gzip, bzip2 and lzmash (e. • Claims to be 100 times faster than MapReduce and sup ports Java, Python, and Scala API’s. Compress and decompress files On Linux. XZ File compression: xz is a general-purpose data compression tool with command line syntax similar to gzip(1) and bzip2(1). How to GZip a File in Java. Learn how to implement a motion detection use case using a sample application based on OpenCV, Kafka and Spark Technologies. PHP file Download Script to download any file. To create a. And all this is absolutely FREE for lifetime. The parquet-compatibility project contains compatibility tests that can be used to verify that implementations in different languages can read and write each other’s files. Spark SQL can automatically infer the schema of a JSON dataset, and use it to load data into a DataFrame object. The FIT File Extension has one primary file type, Garmin Activity File format, and can be opened with two distinctive software programs, with the dominant related application developed by Garmin (Garmin Connect software). The PGP signature can be verified using PGP or GPG. Snappy and GZip blocks are not splittable, but files with Snappy blocks inside a container file format such as SequenceFile or Avro can be split. gz files either¶ A common trick on Hadoop to ensure that segments of your data don’t get split between mappers is to gzip each segment (since. For now I am using the following command to do that. It made saving Spark DataFrames on S3 look like a piece of cake, which we can see from the code below: It made saving Spark DataFrames on S3 look like a piece of cake, which we can see from the code below:. parquet) with. git20130619. The following example creates a distributed dataset from a file located on the local. When developer uses procfs or character devices there should be another software or script in boot sequence that is actually sending information from a file to particular device. One of the notable improvements is ORC support. What is a TGZ file extension? A TGZ file is a TAR Archive file that has been compressed using Gnu Zip (gzip) software. To Download any file from TFTP server. Appendix: SparkSQL 1. The latter is commonly found in hive/Spark usage. Many people use Kafka as a replacement for a log aggregation solution. (The default extension is -gz for VMS, z for MSDOS, OS/2 FAT, Windows NT FAT and. It will quickly download and install them, compiling them from source. Back in 2012, we added a "Download Multiple Files" option to Teamwork Projects. Hadoop does not have support for zip files as a compression codec. The revolutionary process mining technology in Disco can create beautiful and insightful process maps directly from your raw data, automatically. 71 MB Released: 16th Oct 2019. File Name ↓ File Size ↓ Date ↓ ; Parent directory/--2048-cli-. txt to obtain a text file. The powerful open-source mod manager from Nexus Mods. zip it is contained within? I'm using the Linux command line. Jenkinson (Springer, 2000); that was my inspiration to start. hadoopConfiguration) conf. In this example, I will use open() method to open or create any zip file and addFile() method is used to add files to archive from. Linux and Unix like operating systems comes with z* commands. ECL is the Enterprise Control Language designed specifically for huge data projects using the HPCC Systems platform. RDD's have some built in methods for saving them to disk. Support only files less than 2GB in size. codec and as per video it is compress. Imagine now the file is a gzip-compressed file whose compressed size is 1 GB. Open-source packages are generally available to download in. Normally I use Filezilla as ftp software and it doesn't have any feature like this. But how do I actually split the text file into 64 new files according to this regex? Excel can typically automatically detect text that is separated by tabs (tab-delimited) and properly paste the data into separate columns. Read the file from resources folder. This module provides authentication front-ends such as mod_auth_digest and mod_auth_basic to authenticate users by looking up users in plain text password files. The most common programs used to compress files in Unix-like systems are. We could repartition according to spark. By default, the HDFS block size is 128Mb on EMR, that’s 160 blocks. zip file for your users. The GzipFile class reads and writes gzip-format files, automatically compressing or decompressing the data so that it looks like an ordinary file object. Before you start Zeppelin tutorial, you will need to download bank. Open the compressed file by clicking File > Open. Read data from a csv file and convert it to Java object. This guide provides step by step instructions to deploy and configure Apache Spark on the real multi-node cluster. So it always pays to read the documentation with every new command. Impala is developed by Cloudera and shipped by Cloudera, MapR, Oracle. This command replaces old files in your archive with newer files. Given an example gzipped wordlist (of 740K bytes):. 7-Zip is a free and open-source file archiver, a utility used to place groups of files within compressed containers known as "archives". ini (The server is from my client, and he can't give me access to other directories). Schema changes, including a bump to version 0. This Spark tutorial explains how to install Apache Spark on a multi-node cluster. Here's an example where I have a directory (called directory) with a number of files. Homebrew is a package manager designed for installing UNIX tools and other open-source applications on Mac OS X. How do I go about it?. My Spark & Python series of tutorials can be examined individually, although there is a more or less linear 'story' when followed in sequence. Verify the integrity of the files¶ It is essential that you verify the integrity of the downloaded file using the PGP signature (. fileinputformat. The content being returned is gzip compressed. Model java class to map data stored in csv file \src\main\java\com\beingjavaguys\domain\Cars. ( New in Spark 2. Unlike CSV and JSON, Parquet files are binary files that contain meta data about their contents, so without needing to read/parse the content of the file(s), Spark can just rely on the header/meta data inherent to Parquet to determine column names and data types. , search, count, range, random access) directly on a compressed representation of the input data. You can import text files compressed with Gzip or Bzip2 directly into a table stored as TextFile. tar files are not supported in hdfs , so even if i use the above approach i will have to pull data to local. How to show hidden files in Windows 7. Only a single reader is used per gzip compressed file since uncompressing the file in the buffer is single threaded. What’s new in Ruby 2. The files are compressed with gzip, but without. It is possible by generating and executing a CREATE TABLE statement to define the data’s layout in Hive. ijson will iteratively parse the json file instead of reading it all in at once. Using MySQL, Hadoop and Spark for Data Analysis • Schema on Read – does not check the PySpark and GZIP file. The problem is that when 7-zip uncompresses the tar file into a subdirectory, you have to go into the subdirectory in order to uncompress the tar file. To do this, use the Scala code below to deflate the zip file and create a text file. hi, i have a text file on HDFS(generated by sqoop job). • Claims to be 100 times faster than MapReduce and sup ports Java, Python, and Scala API’s. Content-Length headers when file compression is involved. Your FTP client will show you a file permissions dialog box like this: All folders on your WordPress site should have a file permission of 744 or 755. The following command reads the binary file pcap. • Use an https connection if you can, to avoid transferring credentials in plain text. saveAsParquetFile("people. A solid archive is one where all the files are compressed together. In this tutorial, we're going to learn about two applications only. Whenever possible, each file is replaced by one with the extension. Simply upload a file, share the link, and after it is downloaded, the file is completely deleted. Iterate files in folder using Spark Scala February 9, 2018 February 11, 2018 gchandra 0 Comments hdfs , Iterate , Scala , Spark This script loops through hdfs files system and reads the first line and writes it to console. Spark SQL can automatically infer the schema of a JSON dataset, and use it to load data into a DataFrame object. Is it possible to compress Spark outputs that are not in key-value form? My research indicates no without writing your own method, i. gzip also refers to the associated compressed data format used by zlib, a free software library written in C, which you can use to read and write gzip files and memory streams. DAT files? Of course, we have the flylitchi online web-based java converter, which will take the *. pdf extensions. Here is an example of calling getEntry(). In single-line mode, a file can be split into many parts and read in parallel. Working with JSON in Scala using the json4s library (Part one). For a 8 MB csv, when compressed, it generated a 636kb parquet file. The classes used for other data sources may then be different. A simpler method for converting CSV files is to use Apache Drill, which lets you save the result of a query as a Parquet file. I want to copy some files from my local machine to the instance. The file pointer is at the end of the file if the file exists. sqoop help Warning: /usr/hdp/2. The Path Class. FIT files are traditionally categorized as GIS Files. 0 release contains various concordance fixes and performance improvements for accessing read metadata. These files are gzipd tar balls and include multiple files and sub-directories into a single file using tar command. gz compressed file: $ gzip test. RDD's have some built in methods for saving them to disk. WILEYFOX SPARK+ SPARK SWIFT 2 X SWIFT 2 PLUS ISTORED is a blog that provides various. Due to popular request, I've updated my simple framework for processing ZIP files in Hadoop Map/Reduce jobs. A JAR (Java ARchive) is a package file format typically used to aggregate many Java class files and associated metadata and resources (text, images, etc. A person looks at an earthquake warning application on their phone in Los Angeles, Jan. Parquet files are self-describing so the schema is preserved. If you have a raw data file that has one record per line, this option is a prudent method of trying to keep such errors from cascading through the rest of your data file. This module provides authentication front-ends such as mod_auth_digest and mod_auth_basic to authenticate users by looking up users in plain text password files. This lesson provides an introduction to data storage and file format considerations in Impala. Oracle Java Archive The Oracle Java Archive offers self-service download access to some of our historical Java releases. What matters in this tutorial is the concept of reading extremely large text files using Python. " Richard Vogel/AP, FILE. textFile(filepath, minNoOfPartitions) method. This is what i found after a quick google search, a PDF explaining how to correctly extract the contents of the file. The service provides an enterprise-grade Apache Spark implementation on Azure. How to tell gzip to keep original file? 3 answers I have a file file. spark read sequence file(csv or json in the value) from hadoop hdfs on yarn Posted on September 27, 2017 by jinglucxo — 1 Comment /apache/spark/bin >. Windows, Web, and Mac operating systems can be used to view FIT files. The TAR format is often used for open source software distribution. -single: Merge sharded output files. Each file in the ZIP file is represented by a ZipEntry (java. PHP: var export Manual. Supports the "hdfs://", "s3a://" and "file://" protocols. zip file for your users. Plans are only valid for new or certified refurbished products purchased in the last 30 days with no pre-existing damage. The component in this framework is available when you have subscribed to one of the Talend solutions with Big Data. Step 3: Drag the file s and folder s you want to zip into the new compressed zipped folder. This creates a problem while reading the files using Apache Spark. We have collection of more than 1 Million open source products ranging from Enterprise product to small libraries in all platforms. core plugin. Compatibility: Available in Apache 2. zip file (Without unzipping it): $ unzip -l jasper. json file, and change the author line to anything else. While a text file in GZip, BZip2, and other supported compression formats can be configured to be automatically decompressed in Spark as long as it has the right file extension, you must perform additional steps to read zip files. You should avoid using. Needing to read and write JSON data is a common big data task. How to read Gzip compressed files in Linux command line. Since Spark 2. Active 2 years, 7 months ago. Spark can read files residing on the local filesystem, any storage source supported by Hadoop, Amazon S3, and so on. FIT files are traditionally categorized as GIS Files. Charles912 · 2 小时 34 分钟前 · 281 次点击. This prevents needing to decompress and recompress the entire archive. com/entries/paper-summary-textrank-bringing-order-into-texts. 在IDEA关联Spark源码包,idea不能修改Spark源码,idea点进源码file is read only 在Spark开发学习中,我们需要有一套自己精心备注学习研究的Spark源代码,但是如果是通过maven自动导入Spark源码的话,我们是不可以对Spark源代码进行备注、注解等修改的操作的。. The data source is specified by the ``source`` and a set of ``options``. patch (for JDK) or jre– 10. Create or Extract gzip files examples. Felipe Jekyll http://queirozf. However, creating a split for each block won’t work since it is impossible to start reading at an arbitrary point in the gzip stream and therefore impossible for a map task to read its split independently of the others. If you use local file I/O APIs to read or write files larger than 2GB you might see corrupted files. libelf and. Decompress Files Using The "gzip" Command. Read ZIP file with "ZipInputStream". 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: