Node Csv Stream

CSV data is sent through the write function and the resulting data is obtained within the "readable" event by calling the read function. The information is appended such that if a hang or crash occurs, it is possible to see the context in which the problem occurred, as well as a history of all Chilkat calls up to the point of the problem. js heap size. Yet the original streams API had some problems. The parser works record wise. Since the process uses pipes it is extremely memory efficient. They take the same arguments as the normal write functions but return a Readable Stream. ffprobe [options] [input_url] 2 Description. Parsing file uploads at 500 mb/s with node. js stream object for asynchronous calls with the SDK for JavaScript. Import json / csv data into your designs. Comma-Separated Values. Abstract: Using the Node. I'm using Mailparser to stream the attachment in and then was hoping to just pipe it through exceljs but I'm not getting any result. sheet_to_csv. js) Update CSV File. Need to support tens of thousands of opened file VDI scenario with up to 64 node cluster and hundreds VMs per node. I am using Azure stream analytics and my input is Eventhub,EVENT SERIALIZATION FORMAT is CSV and DELIMITER is comma(,). The CSV (Comma Separated Values) file format is a popular way of exchanging data between applications. js is probably to read in the content of a file in a non-blocking, asynchronous way. From RFC 2616 7. At JW Player, we use Spark to explore new data features and run reports that help drive product decisions and improve algorithms. In my previous post, we have already discussed about how to import a Node JS module using require() call. This version is a major enhancement as it aligned the parser with the best Node. js provides asynchronous I/O base on event loop. CSV (Comma-separated values) is a common data exchange format used by the applications to produce and consume data. createReadStream 来读取。 fs. The function does the following Reads a Blob for a csv file Streams the records through parser. Many systems and processes today already convert their data into CSV format for file outputs to other systems, human-friendly reports, and other needs. Our goal is to help you find the software and libraries you need. CSV (comma separated values ) files are commonly used to store and retrieve many different types of data. TransformAPI][stream_transform]. CSV-Parse implements the node stream. Then write that to a CSV file in the shortest amount of time possible. Converts polygons to points with a very simple average. WriteStartElement instead writing an attribute to current XML element as I have done for string. The csv package is itself split into 4 packages: csv-generate, a flexible generator of CSV string and Javascript objects. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security. Transform. Sending a file stream to client Related Examples. The stream module provides an API for implementing the stream interface. Cluster Shared Volumes (CSV) overview: Windows Server 2012 CSV is a distributed file access solution that provides multiple nodes in the cluster with simultaneous access to the same file system. Converting the CSV. How to Convert CSV to JSON in Java CSV data can be converted to JSON via a POJO using Jackson or, if a POJO is not defined or required, you can use the Java Collection classes. Tested against csv-spectrum and used in production. The information is appended such that if a hang or crash occurs, it is possible to see the context in which the problem occurred, as well as a history of all Chilkat calls up to the point of the problem. Real-time stream processing consumes messages from either queue or file-based storage, process the messages, and forward the result to another message queue, file store, or database. For my link archive: [WayBack] Next up: TPDFPrinter and TPDFCanvas Expect a high paced (and easy) update cycle for Ultra, with a constant stream of new goodies! Zero hassles - it. js can process other events when waiting for response, which we called it non-blocking I/O. js parser_email - Simple multi type email parser memcache-parser - Memcached binary protocol parser fastcgi-parser - FastCGI protocol parser and Writer. csv-write-stream. Facebook is showing information to help you better understand the purpose of a Page. js,JavaScript Framework for building UI,2019-09-06 3,Angular. The Comma Separated Values (CSV) convention conforms to the idea of delimited flat file structure databases. Then: calculate total number of rows and average age for all Female with income >50K per year; write resulting table to a CSV file using the knime:// protocol to write into a “data” folder under the current workflow folder. We will show how configure the source plugin to read files with or without a header row and also cover stream wrappers. CSV (Comma Separated Variable) files. Test and debug stream processing applications by simulating events one by one, or with random data, or playing back events from CSV files or databases. If you want to export your data as CSV in your web app then don't use heavy libraries or controls. Cluster Shared Volumes (CSV) overview: Windows Server 2012 CSV is a distributed file access solution that provides multiple nodes in the cluster with simultaneous access to the same file system. We have the iot Azure IoT Hub as the input, and the db SQL Database and alerts Event Hub as the outputs. Fortunately, they are easy to avoid. Rather than trying to use Java we decided it would be easier to use Node. This example will show you how to use node stream to read data from file, write data to file and use pipe stream to transfer data from one stream to another. The tools you need to start ingesting data are ready (and eagerly awaiting your arrival) on the Kibana home screen. Documentation. Home > Code Samples > Convert XML to CSV in C# XML to CSV XmlRecordReader allows you to specify an XPath to loop over any size XML file, and then use additional XPaths to specify nodes and attributes that can then be referenced by name. js documentation: Sending a file stream to client. Even individual data items are streamed piece wise. The last is optional. This small tutorial provides a solution to provide a download link for your website users to fetch a csv file including the data out of a PostgreSQL or lowdb database. ̸̣͌̑̕͢ͅṆ̸̸̣̑͌͌̑̕̕͢͢ͅͅọ̸̸̣̑͌͌̑̕̕͢͢ͅͅụ̸̸̣̑͌͌̑̕̕͢͢ͅͅg̸̸̣̣̑͌͌̑̕̕͢. Reading a CSV file and parsing it to JSON is an easy-peasy job in Node. This example will show you how to use node stream to read data from file, write data to file and use pipe stream to transfer data from one stream to another. npm ERR! This is most likely a problem with the react-csv-downloader package,. If node's tag contains an object other than string, then I guess you need to create a child XML element. Streams are objects that let you read data from a source or write data to a destination in continuous fashion. Node-csv-query loads the entire CSV file in memory, thanks to csv-parse, then plug lodash manipulation functions on the loaded dataset. This is a full-featured CSV parsing tool running entirely on your browser. Write arrays of strings (or JS objects) and you will receive a properly escaped CSV stream out the other end. We'll cover how to install Node-RED Dashboard and exemplify how to build a graphical user interface. The Comma Separated Values (CSV) convention conforms to the idea of delimited flat file structure databases. Works in node 4, 6, 8 and 9. mblanc01 - Feb 28, 2010 Submitted corrected coordinates for the location at 880 W Army Trl,Carol Stream,IL and the location in Bartlett,IL. streamCSV takes three arguments: A filename, a callback for each row, and a callback when it's done. Using three packages (mongoose, aws-sdk, and json2csv). csv file as there’s no data to load from there). A readable stream is an abstraction for a source from which data can be consumed. Real-time stream processing consumes messages from either queue or file-based storage, process the messages, and forward the result to another message queue, file store, or database. The first argument to reader() is. You use a Machine Learning sentiment analytics model from the Cortana Intelligence Gallery to analyze streaming text data and determine the sentiment score in real time. csv file and access the contents. Here is s snapshot of the project structure. If the data is not relational in nature, we can store it in flat files. Convenient for very large files. It is normally used to get data from one. You may load your data from disk - see Choose CSV file here below. Then write that to a CSV file in the shortest amount of time possible. What would be the best way to stream the data from MySQL, through a formatting function and into a CSV. In this article, We learned how to read and write CSV files in Java using Apache Commons CSV library. So how can i pipe video, pddf, or other big files from the aws s3? node-js. CSV data is sent through the write function and the resulting data is obtained within the "readable" event by calling the read function. As a result importing large dataset may benefit from being paritioned into multiple files and running a separate cbimport process on each file. This stream will do nothing really, just pass the data as-is to the next stream in the chain. Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. The tools you need to start ingesting data are ready (and eagerly awaiting your arrival) on the Kibana home screen. js (npm) script which can import flat csv/tsv data directly into CouchDB using Node’s Stream framework. Customized Invoices using Node. In this article, We learned how to read and write CSV files in Java using Apache Commons CSV library. Getting Started with Node-RED Dashboard This post is an introduction to Node-RED dashboard with Raspberry Pi. stdout are both stream instances. Submitted corrected coordinates for the location at 242 West Army Trail Rd, Carol Stream,IL. Nodejs csv to json converter. Another advantage of the XmlTextReader is that it provides line and character position information, which can be very useful diagnostic information when there's a problem with the XML. However, there are a few small changes that will allow us to stream each row of the CSV file and convert it to JSON so we can push it into DynamoDB. 输入和输出对象或数组. One usefull function part of the Stream API is pipe to interact between multiple streams. To use the copy function, we can use the pg-copy-streams module, which enables you to execute the copy function from a file readable stream. NodeJS Write CSV File - Duration: 3:51. The Node app uses a custom middleware function to validate the JWT token and decode the API parameters. Talend Data Fabric offers a single suite of cloud apps for data integration and data integrity to help enterprises collect, govern, transform, and share data. (12 replies) Hi group, How can i generate a excel/csv file from nodejs application. If I could process and save these events synchronously, then I wouldn't have a problem because i would never fall behind the data stream coming in. js is a JavaScript library for manipulating documents based on data. I was able to get the row count, but I can not find a way to find the maximum value down a column. csv like this: id,name,description,createdAt 1,Node. js Stream Playground was created to help Node. In the Kafka universe, there’s KSQL, Kafka streams, and a bunch of others that Ricardo is going to do demos on. File, link, node, stream, and directory creation delete File, link, node, stream. The columns should include X, Y, Z and any other data. It also provides a simple callback-based API for convenience. Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler. This tutorial demonstrates how to use streams in Java 8 and Java 7 to convert a list to a comma-separated string by manipulating the string before joining. js this task is really easy to achieve. Streams can be readable, writable, or both. We can use the method readFile on our fs variable, pass it a data. I have a nodejs Azure function which is triggered by a Storage queue. csv-stringify, a stringifier converting records into a CSV text. The information is appended such that if a hang or crash occurs, it is possible to see the context in which the problem occurred, as well as a history of all Chilkat calls up to the point of the problem. Learn how to write to stream using NodeJS. First amongst them being - exactly what are you intending to do with the data eventually?. Asn Atom AuthAws AuthAzureAD AuthAzureSAS AuthAzureStorage AuthGoogle AuthUtil BinData Bounce Bz2 Cache Cert CertChain CertStore Charset CkDateTime Compression Crypt2 Csr Csv Dh DirTree Dkim. NOVA: This is an active learning dataset. I stay as far away as possible from working with large volumes of data in a single operation with Node. csv file and access the contents. Streams are now a powerful way to build modules and applications. This is mostly a bug fix release with enhanced documentation. This data can be converted into points or structured grids. This article compares technology choices for real-time stream processing in Azure. In several previous articles on Apache Kafka, Kafka Streams and Node. The tools you need to start ingesting data are ready (and eagerly awaiting your arrival) on the Kibana home screen. 10 releases will obviously still be present for people still stuck on earlier 0. CSV (Comma Separated Values) is a most common file format that is widely supported by many platforms and applications. It wraps streams from node’s standard library (along with arrays, promises, and more) and manipulates them, much like lodash or underscore do for regular collections. The Requirements. With that in mind, let's briefly. Stream but didn't work for me. While it's called CSV, the term CSV is also applied as a broad blanket term to any basic delimited structure that consists of one record per line (for example, tab-separated values). js and Chart. FCmp Function Editor STREAM Procedure Tree level 2. [email protected]> Subject: Exported From Confluence MIME-Version: 1. node-csv-query. //wb as webbrowser //if element have not assign id attribute foreach (HtmlElement item in wb. Now we just need to create our Stream Analtyics Job and wire it up! 1. 단순히 query를 날려서 결과를 받아오면 결과물인 json 데이터. concats Output a single-column csv file containing rows of concatenated odio Free radio streaming software with more than 20,000 radio IPFS node, Amazon S3. --jeroen via: [WayBack] Martin Fowler on Twitter: "It's an old anti-pattern, and…. js documentation: Using FS to read in a CSV. Then write that to a CSV file in the shortest amount of time possible. Introduction Prerequistes Postgres CSV data insertion steps Make an instance declaration of the Pool library's pg model in Node Make a function declaration to repair values of CSV Make a sqlStatement string pass to the method query() Use the method createReadStream() to construct a Node Read Stream Use JavaScript's readStream() function and. For my first attempt at it I thought I would just try to convert the data into a CSV/TSV format which can easily be imported into our database for further processing. I doubt that the content you try to create an element from is supposed to be used in that way. Here is s snapshot of the project structure. As a result, it's very good at handling I/O bound tasks. Getting a readable stream from csv-stringify and passing it to res object of. Opening a read stream to an existing file. Convert a List in a String with all the values of the List comma separated using Java 8 is really straightforward. Measure, monetize, advertise and improve your apps with Yahoo tools. So this tutorial is going to explain how to zip or unzip files using NodeJS. js required us to implement an AWS Glue/Amazon EMR process to effectively migrate data from CSV to Parquet. csv-parse, a parser converting CSV text into arrays or objects. Postgres supports JSON data and you can query it (see the previous blog about ingesting json into Postgres here). Create the List. We can use the method readFile on our fs variable, pass it a data. At times, you may need to parse XML content and convert it into a DOM tree, or, conversely, serialize an existing DOM tree into XML. Csv-parse creates a readable stream that emits data events each time it encouters a chunk of data. Apache Flink is an open source platform for distributed stream and batch data processing. csv(): uses Node CSV modules to read the source CSV file and transform it into a cleaner CSV for further processing. Stream data from Mongoose into CSV download. That is, to tell Node to read in the file, and then to get a callback when the file-reading has been finished. Listen for header and line events or pipe the data directly to a readable stream. for %f in (*. And then when you need to process your streaming messages, you have a number of options as well. pipe method on our input file to direct the file stream to our csv-parser. csv-stringify, a stringifier converting records into a CSV text. However, at any time, a single node (called the coordinator node) “owns” the physical disk resource that is associated with the LUN. js proxy to turn a paginated JSON REST API into a CSV streaming download. For this project I installed the request and xml-stream packages from NPM. Impact Recorder for Vehicles: Impact Recorder is designed to record impact sustained to vehicle while driving or stationary. CSV (Comma-separated values) is a common data exchange format used by the applications to produce and consume data. js lib Parse CSV to JSON or CSV column arrays Support all types of CSV Non-blocking parsing / multi core support Extremely fast: 4 - 6 times faster than other csv parsers on node. Demonstrates how to read a. the root node of the parsed tree of Nodes Throws: SAXException - Any SAX exception, possibly wrapping another exception. To use the copy function, we can use the pg-copy-streams module, which enables you to execute the copy function from a file readable stream. If you want to export your data as CSV in your web app then don't use heavy libraries or controls. NET MVC WITHOUT using Jet/ACE OLEDB provider. If you don't want to clutter your POJO class with OpenCSV annotations, then you can use Mapping strategies to specify the mapping between CSV columns and object member fields. The so-called CSV (Comma Separated Values) format is the most common import and export format for spreadsheets and databases. Works in node 4, 6, 8 and 9. csv-write-stream. An Azure Stream Analytics (ASA) job picks up those messages and forwards them to Azure Blob Storage as JSON objects. This version is a major enhancement as it aligned the parser with the best Node. This is a full-featured CSV parsing tool running entirely on your browser. The encoder node creates an MJPEG stream from all the images, and sends that stream to the dashboard. js (npm) script which can import flat csv/tsv data directly into CouchDB using Node’s Stream framework. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Node 61 of 66. ̸Ҳ̸ҳ[̲̅B̲̅][̲̅7̲̅][̲̅B̲̅ - fr-fr. One solution is to read the csv file into an array. CSV files are ubiquitous in the programming world and most data interchange is done using the CSV format. This example is available with the command node samples/stream. Great, now we have all the pieces that the job Stream Analytics job needs. How to zip or unzip files using NodeJS. JS, Timothy Baker | Gooroo I was recently asked by someone to give an example of how to read a csv file in their node. Converts polygons to points with a very simple average. Yet the original streams API had some problems. js can process other events when waiting for response, which we called it non-blocking I/O. If no template file is passed in, one CSV file will be created for each product type. this is a quick simple bit of code in a project that can convert an XML file to a csv file The whole idea came from a simple XML conversion request from a work friend who was very stuck. js Framework. js, Excel to json is a regular requiremnt for web applications node. to_csv is the streaming version of XLSX. Python and XML. If you want just one large list, simply read in the file with json. A through stream. This tutorial demonstrates how to use streams in Java 8 and Java 7 to convert a list to a comma-separated string by manipulating the string before joining. js streams, we pass Buffer s with the data from the stream. Kafka Streams is a client library for processing and analyzing data stored in Kafka. In the GCP world, the thing that we’re going to focus on in this session is Apache. This allows you to more efficiently stream large CSV files through a flow. Opening a read stream to an existing file. Our mission is to put the power of computing and digital making into the hands of people all over the world. Nodejs csv to json converter. In the tutorial, Grokonez shows how to import data from CSV File to MySQL with Node. Streams are unix pipes that let you easily read data. Download code samples and examples for Windows 8, Microsoft Azure, Office, SharePoint, Silverlight and other products in C#, VB. js From there, I am utilizing their "step" function to handle large files (to be consistent, let's assume the csv has 10 columns with 100,000 rows of data with a header row) uploaded from frontend. The cbimport-csv command is used to quickly import data from various files containing CSV, TSV or other separated format data. Streaming Data in Node. "Papa Parse made it very easy to load and ready user CSV files in the browser on the client side. The user wanted to know if this could be done entirely client-side. One of the most popular ones I know can be seen here. Now click on Services and applications -> Right click on SQL Server ( Mssqlserver ) -> click on move this service or application to another node -> it will give avilable node of cluster(BTS2010DB02), click on the option. How does synchronization works in node. JS application that publishes messages to a Kafka Topic (based on entries in a CSV file), how to create a simple Kafka Streams Java application that processes such messages from that TopicRead More. Reference a JS file from within NodeJS Target Endpoint 3 Answers Why would I use xml instead of node? In what situations is node preferable? 2 Answers New API fails at final "Generating proxy" step 1 Answer How do you control ciphers in a node. CSV files may contain commas, carriage returns, speechmarks…etc within strings. If you need to marry them up to fs2 for stream processing in scala, you will need to a create "source" of univocity Records. 1 How To Stream JSON Data Into Phoenix Using Apache How To Stream CSV Data Into Phoenix Using Apache F How To Stream Text Data Into HBase Using Apache Fl. Today we learn how to migrate content from a comma-separated value (CSV) file into Drupal, using the latest version of the Migrate Source CSV module and the CSV PHP library by the PHP League. csv file and count how many rows there are, and also find a maximum value in a specific column. Writable string destination. One solution is to read the csv file into an array. js process ran out of memory, and I had to learn how to adjust the Node. isi statistics protocol [--csv] File link node stream and directory creation delete. This can (and often does) lead to sql injection vulnerabilities. This is the recommended approach if you need a maximum of power. Installation npm install node-stream-csv How to use. write it is opened from one node When files accessed from multiple nodes then read is dominant operation Multiple VMs need to access the same Base VHD, and still can run on different cluster nodes. Any HTTP/1. You can find all the code samples presented in this article in my github repository. csv) do type "%f" >> appended. 10 releases will obviously still be present for people still stuck on earlier 0. As a first step we need to acquire a dabatase cursor. Reading a CSV file and parsing it to JSON is an easy-peasy job in Node. Include npm packages fs http, multer, fast-csv and express (install with npm install by including the packages in dependency as shown in the end or install them by running npm install --save multer express fast-csv command. ContentsTechnologiesGoalPracticeInit package. Transform API. ajaxSetup(). js, I would like to make a call to an API, write the response of that call to a file, then serve that file as an attachment to the client. This builds on the customer promise of long-running mission-critical pipelines that Stream Analytics offers today. A readable stream is an abstraction for a source from which data can be consumed. js documentation: csv parser in node js. It wraps streams from node’s standard library (along with arrays, promises, and more) and manipulates them, much like lodash or underscore do for regular collections. JS application that publishes messages to a Kafka Topic (based on entries in a CSV file), how to create a simple Kafka Streams Java application that processes such messages from that TopicRead More. In node, all this data is processed the moment its received, piece by piece. Stuffy corporate architects might call it a "mediation platform" but for me it's more like ETL coding with Lego Mindstorms. How to read and parse a CSV file using Node. js from its early days; Opening streams using Node. Read a CSV or TSV file line-by-line, applying headers to each row and guessing the correct type for each entry. Using Python to Extract Excel Spreadsheet Into CSV Files - DZone Big Data. From there you can do work on the array. To add a new module, please, check the contribute section. Works in node 4, 6, 8 and 9. It has support for callbacks, promises, async/await, connection pooling, prepared statements, cursors, streaming results, C/C++ bindings, rich type parsing, and more!. js File Server. There are four fundamental stream types in Node. pipe() method is called on a readable stream, adding this writable to its set of destinations. While it's called CSV, the term CSV is also applied as a broad blanket term to any basic delimited structure that consists of one record per line (for example, tab-separated values). (12 replies) Hi group, How can i generate a excel/csv file from nodejs application. Read adult. It has been implemented in a lots of node modules such as fs module, http module etc. CSV and object transformer. Additionally, the platform undergoes constant upgrades so as to allow developers to continue delivering bespoke applications for their clients. The information is appended such that if a hang or crash occurs, it is possible to see the context in which the problem occurred, as well as a history of all Chilkat calls up to the point of the problem. Installation command is npm install csv. Relational Database system from an Apple subsidiary. 10 releases even if the readable-stream dependency has the fixed version. Read a CSV or TSV file line-by-line, applying headers to each row and guessing the correct type for each entry. Hey Python learners, we have already learned reading csv and json file in previous tutorials. Abstract: Using the Node. I have spent some days triing to figure out what happend, but have no answer yet. For this project I installed the request and xml-stream packages from NPM. CSV data files are present on an FTP server. Transform API. A through stream. Streaming Data in Node. js Reference Documentation. The default stream mode is chunked. This example will show you how to use node stream to read data from file, write data to file and use pipe stream to transfer data from one stream to another. 5) You are able to distribute your CSV LUN owners across the nodes in your cluster. Home Node. In this situation, a zip archive should be passed to the --output flag. Read adult. That's not really node's specialty. node-postgres is a collection of node. I tried to start with file node and pointed it to the http adress, connected with csv node but got nothing in debug window. AWS Lambda Function Handler in Node. Since such huge files cannot be loaded in-memory completely, I decided to use streams in node. x code base. Upload Files. That's not really node's specialty. Your go-to Node. Let us combine the two, and serve the file requested by the client. concats Output a single-column csv file containing rows of concatenated odio Free radio streaming software with more than 20,000 radio IPFS node, Amazon S3. csv data set. For instance, a request to an HTTP server and process. csv file and access the contents. js programs. Download CSV using GET request. 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: