Elasticsearch Nest Query Example

One 35 year old Dentist and one 30 year old Developer. The library provides classes for all Elasticsearch query types. For queries, the OData abstraction allows to adapt the underlying ElasticSearch queries according to the context and the element they apply on. Example usage in a boolean query :. Query attached (self. Nested types are fast and efficient but lack some flexibility. Property expressions can refer only to a direct property of the managed entity, as shown in the preceding example. You can read about them in the Elasticsearch documentation and explore the Spring Data Elasticsearch API in order to use these queries in your code. Querying ElasticSearch - A Tutorial and Guide Posted on 01 July 2013 by Rufus Pollock ElasticSearch is a great open-source search tool that's built on Lucene (like SOLR) but is natively JSON + RESTful. Example Document 1 { "publishing_rule": { "publishing_orders": [{ "transporters. You can vote up the examples you like and your votes will be used in our system to generate more good examples. _source refers to the current source document that is about to be updated. In Elasticsearch, searching is carried out by using query based on JSON. Also “agg_abc” have more than 5 categories in it but in table it shows only for 2 categories which is also not complete. Updating an existing document within an elasticsearch index using NEST Sep 11, 2015 06:49 AM|mark-1961|LINK. NET program. Scroll example in ElasticSearch NEST API. C# (CSharp) Nest QueryContainer - 30 examples found. The usual Lucene query syntax is available either through the JSON query language, or through the query parser. It is built on top of the official low-level client (elasticsearch-py). MatchAll() ); The two previous examples both used the Fluent API to express the query. ElasticSearch – nested mappings and filters Tags elasticsearch , mapping There's one situation where we need to help ElasticSearch to understand the structure of our data in order to be able to query it fully - when dealing with arrays of complex objects. For example. Aws AwsHttpConnection - 5 examples found. These examples are extracted from open source projects. 5 Powershell to the rescue NEST Abstraction over Elasticsearch There is an low level abstraction as well called RawElasticClient NEST Abstraction Fluent & Strongly over. It's the first of a series of articles that will show you how to combine the powerful search and indexing capabilities of Elasticsearch with Node's. This river will map each resulting row to one document. In the preceding example, since variations is a nested type, a nested query is used. Query(query => query. Fluent DSL example edit s => s. Pessoal, esta é a segunda parte das queries. For example : query: author. The nesting hierarchy is applied as you would expect. Elasticsearch Aggregations Overview One of the most exciting features of the upcoming Elasticsearch v1. You can rate examples to help us improve the quality of examples. MatchAll() ); The two previous examples both used the Fluent API to express the query. When I first started writing Elasticsearch queries, I could string together something that. Just to recap, the same script throwning PUT requests at a Elasticsearch setup locally worked, but when throwning at a container with Elasticsearch failed after a few thousand documents (20k). Index user likes to song (grandchildren). However, not only does the index needs to be modified, but the search query as well (lines 5-6):. There are multiple ways to conglomerate various calls into one call that will return different results depending on boolean inputs. Using this we don't have to explicitly tell ElasticSearch how to index and store specific fields. In the previous examples, the queries we wrote presumed that we only make a single choice for a facet; on an user interface this would look like radio buttons or a drop-down list. elasticsearch. Here is an example using a query to filter the results. These are the top rated real world C# (CSharp) examples of Nest. Query(query => query. Consider the following method signature:. Sorting Nested Fields in Elasticsearch - Qbox. Consider the following method signature:. With type: "nested" (line 10), we define every skill object to be nested within the developer document, which means Elasticsearch will index every object separately. In the future, Elasticsearch might provide the ability to update multiple documents given a query condition (like an SQL UPDATE-WHERE statement). my attempt looks like this, but i don't know how to apply it to a field. In this article we will see how to do CRUD (Create/Read/Update and Delete) operation in Elasticsearch using C# and NEST (. These examples are extracted from open source projects. First of all, we have to define mapping:. This situation illustrates another issue. Elasticsearch NEST - Examples for mapping between Query and C# During my training with Elasticsearch I would like to map a query with GET/POST method to C# syntax of NEST. Ask Question I am using Elasticsearch v6 and NEST to search the advertisements that I create on my website. x Take a look at the blog post for the release of NEST 5. C# (CSharp) Nest QueryContainer - 30 examples found. A CLI tool for exporting data from Elasticsearch into a CSV file. All the examples in this section are assumed to be wrapped in: var result = client. com and, or, and not queries are deprecated in elasticsearch 2. If you want case insensitivity, you could add a keyword + lowercase filter to your analyzer. I believe something like this exists in debug, but not for use under normal conditions: https:/. ElasticSearch - nested mappings and filters Tags elasticsearch , mapping There's one situation where we need to help ElasticSearch to understand the structure of our data in order to be able to query it fully - when dealing with arrays of complex objects. Net and NEST: the Elastic. x, in addition to the list of breaking changes for NEST and Elasticsearch. Nest gives you the API to map one-to-one with Elasticsearch DSL query. NET features such as covariant results and auto mapping of POCOs. The data stream is partioned by material and then further processed using a nested aggregation for the top hits. QueryBuilder. It’s very helpful for me to see how NEST composes its internal queries and sends to Elasticsearch server. Writing bool queries | Elasticsearch. As elasticsearch is a key value pair store. Note that the request body. In part one, I covered the basics of NoSQL, Elastic and a quick installation. co If you assigning many bool queries prior to NEST 2. Query returns both documents instead of just one. Aliases are yet another tool in the Elasticsearch toolbox that should make it easier to manage and work with your cluster day to day. Still, it can be very easy to use if we ignore all of its optional parameters and simply feed it a string to search for. God bless you for trying to help a desperate intern. Query attached (self. You can Filter or Query on these “inner objects”. The query against nested objects is executed as if the nested documents were indexed independently from the parent document using special query Dsl syntax:. In this post, I am going to discuss Elasticsearch and how you can integrate it with different Python apps. I was tasked to sort the documents with properties not in elasticsearch. The following are Jave code examples for showing how to use copyCurrentStructure() of the org. Sort Order. In this blog post I’m going to show you how to get started with geospatial search with Elasticsearch, using the official and fantastic. These examples are extracted from open source projects. Below you can see an example whose body of search request is built by using SearchSourceBuilder. The Spring Data Elasticsearch project applies core Spring concepts to the development of solutions using the Elasticsearch Search Engine. Its latest version is 7. Elasticsearch - Filter the records from nested query Stackoverflow. Search(s => s. Now we've identified a query that is slow and we've run it through a profiler. In the preceding example, since variations is a nested type, a nested query is used. c# - Creating query with raw strings in nest elasticsearch I need to create the query dynamically. This article demonstrates how to do a full text search using jQuery Autocomplete with an ASP. For connecting with elastic nodes read this: CREATE INDEX USING NEST IN. Running SQL Joins in Elasticsearch With Dremio. However, the disadvantage is also very obvious. You can vote up the examples you like and your votes will be used in our system to generate more good examples. Facets provide a way to get summary information about then data in an elasticsearch table, for example counts of distinct values. ElasticSearch - nested mappings and filters Tags elasticsearch , mapping There's one situation where we need to help ElasticSearch to understand the structure of our data in order to be able to query it fully - when dealing with arrays of complex objects. Useful when multiple inner hits have been defined in a single search request. You'll learn more about the various URL query parameters in a separate tutorial. The usual Lucene query syntax is available either through the JSON query language, or through the query parser. QueryContainer extracted from open source projects. Basically the only way to get what you want is by using the solution I've mentioned. It would be extremely useful to be able to get the raw JSON that NEST creates, without actually sending a query to an elasticsearch instance. ElasticSearch (and hence the Data API) provides rich faceting capabilities. Updating an existing document within an elasticsearch index using NEST Sep 11, 2015 06:49 AM|mark-1961|LINK. The following are Jave code examples for showing how to use toXContent() of the org. Your votes will be used in our system to get more good exampl. Example usage in a boolean query :. I believe something like this exists in debug, but not for use under normal conditions: https:/. This river will map each resulting row to one document. Bloodhound. x Cluster on Amazon EC2; ElasticSearch Nested Queries: How to Search for. Approach 1: Query the role subtree. Nested datatype | Elasticsearch Reference [7. Similarly, a nested query can contain other nested queries. This article is specially focusing on newcomers and anyone new wants to learn or thinking of using ES in their. x Take a look at the blog post for the release of NEST 5. public static void. Nested query allows to query nested objects / docs (see nested mapping). After scrollTimeout expires Elasticsearch will delete the scroll dataset. We use elasticsearch to support our reporting backend. Using ElasticsearchCRUD with NESTED documents (NEST for search) This example uses Elasticsearch nested documents. Query returns both documents instead of just one. NET features such as co-variant results. These are the top rated real world C# (CSharp) examples of Nest. In this article, we'll take a closer look at why query string queries are special and how you can make use of them. Elasticsearch NEST – Examples for mapping between Query and C# During my training with Elasticsearch I would like to map a query with GET/POST method to C# syntax of NEST. Nested Documents. In our example we can find the uses of FuzzyQueryBuilder and QueryStringQueryBuilder, representing consequently, fuzzy search and query string search. Aws AwsHttpConnection - 5 examples found. Alem das queries também vimos algumas dicas para buscas em real-time do tipo auto. x Cluster on Amazon EC2; ElasticSearch Nested Queries: How to Search for Embedded Documents; ElasticSearch Joins: Has_Child, Has_parent query; Apache Pig and Hadoop with ElasticSearch: The Elasticsearch-Hadoop Connector. Instead of that, it make a count on parent documents (teams). NET client for Elasticsearch which provides a way to call Elasticsearch REST APIs via strongly-typed, easy to use, query DSL. Upgrading from 2. example: here we are specifying aggregation name “popular_cars” inside “aggs” component. We can compare mapping to a database schema in how it describes the fields and properties that documents hold, the datatype of each field (e. This could be replaced with a different persistence provider, for example one which uses SOLR or MS SQL Server, all depends on your needs. Elasticsearch Problem Lists(2): With Spring 七月 29, 2017 In last blog, we have introduced some problems about Elasticsearch basic concepts confusions and some config problems we met. x - we needed to somehow link the Index and Document classes. Elasticsearch client and query DSL for Haskell Why? Search doesn't have to be hard. In this tutorial we will show you how to add a new nested field (array data) in Elasticsearch with the help of update by query method of Elasticsearch. Elasticsearch is a real-time distributed and open source full-text search and analytics engine. See the Elasticsearch documentation on nested query for more details. The first parameter, filter, is the one we use above. In this article we will see how to do CRUD (Create/Read/Update and Delete) operation in Elasticsearch using C# and NEST (. ElasticSearch data mapping: In this article we have a look at how we map our data from a relational DB to ES in order to be able to provide our users with a state of the art text search experience. Query DSL - Elasticsearch Tutorial. Search(s => s. tags-as-fields. This should serve to help anyone looking to get going with this type of query. Aliases are yet another tool in the Elasticsearch toolbox that should make it easier to manage and work with your cluster day to day. This tool can query bulk docs in multiple indices and get only selected fields, this reduces query execution time. Elasticsearch DSL¶ Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. God bless you for trying to help a desperate intern. In this tutorial we will show you how to add a new nested field (array data) in Elasticsearch with the help of update by query method of Elasticsearch. Useful when multiple inner hits have been defined in a single search request. I was tasked to sort the documents with properties not in elasticsearch. AllIndices(). And more concerning, we were seeing a huge increase in the amount of RAM required to handle each query. Elasticsearch client and query DSL for Haskell Why? Search doesn't have to be hard. The elasticsearch documentary mentions at each clause details if it contributes to the final score or not. The usual Lucene query syntax is available either through the JSON query language, or through the query parser. INSTALLATION Great news, install as a service added in 0. Query DSL in Elasticsearch is a way to perform query on elasticsearch cluster. It would be extremely useful to be able to get the raw JSON that NEST creates, without actually sending a query to an elasticsearch instance. Below is an example request for creating the movies index with the title field mapped with the English analyzer: Related Page: Define Elasticsearch Custom Analyzer With Example Creating the movies index with the title field mapped to use the english analyzer. Mapping is the outline of the documents stored in an index. A tutorial repository for Elasticsearch and NEST. Or do we? In the last article in this series, Elasticsearch by Example: Part 5, we refactor our solution to accommodate facet queries that allow for multiple selections on a facet. Elasticsearch – Apply Nested Filter on Nested (Inner) Aggregation. c# - Creating query with raw strings in nest elasticsearch I need to create the query dynamically. Example Document 1 { "publishing_rule": { "publishing_orders": [{ "transporters. The OIS is an alternative to the familiar fluent syntax of NEST and works on all API endpoints. One is working with relational tables and the other works with dictionaries. Search(s=>s. For example, for the given NEST search query:. How the Elasticsearch/Lucene ranking function works, and all the countless configuration options for Elasticsearch, are not the focus of this article, so bear with me if we're not digging into the details. A user can search by sending a get request with query string as a parameter or they can post a query in the message body of post request. In this article, we will discuss about "How to create a Spring Boot + Spring Data + Elasticsearch Example". Instead, Elasticsearch exposes the ctx variable and the _source document that allows us to access the each document's fields. All content in dotCMS is indexed by Elasticsearch. C# (CSharp) Elasticsearch. Elasticsearch client and query DSL for Haskell Why? Search doesn't have to be hard. However, we can look to these libraries for examples of how to write our own query builder. Just to recap, the same script throwning PUT requests at a Elasticsearch setup locally worked, but when throwning at a container with Elasticsearch failed after a few thousand documents (20k). C# (CSharp) Nest QueryContainer - 30 examples found. In part one, I covered the reasons for choosing NoSQL, an explanation of Elastic, and the installation of and communication with Elastic. We use another builder, org. In an Elasticsearch parent-child relationship, a child can not have multiple parents. For has_child query and filter this is the child type, has_parent query and filter this is the parent type and the nested query and filter this is the nested path. This could be replaced with a different persistence provider, for example one which uses SOLR or MS SQL Server, all depends on your needs. CRUD operations are also implemented for Elasticsearch ( ElasticsearchCRUD ). The query is executed against the nested objects / docs as if they were indexed as separate docs (they are, internally) and resulting in the root parent doc (or parent nested mapping). The OIS is an alternative to the familiar fluent syntax of NEST and works on all API endpoints. Version compatibility. I was tasked to sort the documents with properties not in elasticsearch. In this article, we'll take a closer look at why query string queries are special and how you can make use of them. These queries can also be combined together to create compound queries. Multi-Index. Here we specify the keywords and what fields to search against. This feature is not available right now. A user can search by sending a get request with query string as a parameter or they can post a query in the message body of post request. An example like this is best served with real data, so given this post was written from Australia, we’ll use the State Suburbs (SSC) from 2006 provided by the Australian Bureau of Statistics as the data of interest; it's provided in ESRI Shapefile format and contains a collection of all the Australian Suburbs, each. In order to surface even more meaningful data for our customers, we recently added 5 more nested aggregates to some of our core queries. The default depends in which query the inner hit is defined. In a previous post we saw how to use Elasticsearch to search for our dream job among the ones posted on hacker news. ElasticSearch provides Java API, thus it executes all operations asynchronously by using client object. You can rate examples to help us improve the quality of examples. This river will map each resulting row to one document. MatchAll() ); The two previous examples both used the Fluent API to express the query. In Elasticsearch, query string queries are their own breed of query - loads of functionality for full text search rolled into one sweet little package. Nested Types. Or do we? In the last article in this series, Elasticsearch by Example: Part 5, we refactor our solution to accommodate facet queries that allow for multiple selections on a facet. Building a dynamic Elasticsearch query using NEST. It’s commonly used. After scrollTimeout expires Elasticsearch will delete the scroll dataset. Elasticsearch - Ignore special characters in query with pattern replace filter and custom analyzer Elasticsearch 5 Determining if nested field exists Elasticsearch deprecation warning: [deprecation. but I'd like it to get cheapest, so I'm missing sorting by price. The query search function uses the Elasticsearch Query DSL. Tools used in this article : Spring Boot 1. Search in all fields (street, zip_code and city, country) for word “Picadilly”. This article is especially focusing on newcomers and anyone new wants to learn or thinking of using ES in their. This provider implements the ISearchProvider from the business layer. Spark ElasticSearch Hadoop Update and Upsert Example and Explanation; How to write Apache Spark data to ElasticSearch using Python; ElasticSearch Search Syntax and Boolean and Aggregation Searches; How to Setup An ElasticSearch 6. You can vote up the examples you like. This will shutdown Elasticsearch cleanly. leonidzhukov. The examples below are a selection of BatchIQ data flow experience using Apache NiFi, Amazon Web Services, Hadoop, and other components. Net NEST library. In part one, I covered the basics of NoSQL, Elastic and a quick installation. The query search function uses the Elasticsearch Query DSL. Client object can execute the operations in bulk, cumulatively. Instead ElasticSearch figures it out itself by inspecting the content of our JSON properties. I can successfully issue a query, but the result that comes back is quite raw, I'm working if anyone knows a good way of essentially issuing a LowLevel DSL statement and getting back the high level deserialized type?. This is the actual query we make on the search engine. It's the first of a series of articles that will show you how to combine the powerful search and indexing capabilities of Elasticsearch with Node's. Let's take a look on. elasticsearch. Let's take a look on. Elasticsearch - Ignore special characters in query with pattern replace filter and custom analyzer Elasticsearch 5 Determining if nested field exists Elasticsearch deprecation warning: [deprecation. NET program. I can successfully issue a query, but the result that comes back is quite raw, I'm working if anyone knows a good way of essentially issuing a LowLevel DSL statement and getting back the high level deserialized type?. Searching for documents with arrays of objects using Elasticsearch Originally posted on ixa. Nest is a high level client that provides a strongly typed query DSL that maps one-to-one with the Elasitcsearch query DSL, and takes advantage of specific. Filter Context Does this document match this query clause? case 1: bool filter/must_not; case 2: constant_score filter; case 3: aggregation filter. It is built on top of the official low-level client (elasticsearch-py). The first program that I would want to generally write, is to index a structured document into elasticsearch using C# code and NEST APIs. An aggregation can be viewed as a working unit that builds analytical information across a set of documents. http,elasticsearch,docker. x, in addition to the list of breaking changes for NEST and Elasticsearch. Suppose we had a city office with two citizens. NET client for Elasticsearch). So, it wasn't a problem with either Docker or Elastic. The Query DSL consisting of two types of clauses: Leaf Query Clauses. A query string query is an advanced query with a lot of different options that ElasticSearch will parse and transform into a tree of simpler queries. For queries, the OData abstraction allows to adapt the underlying ElasticSearch queries according to the context and the element they apply on. Don't forget to bookmark this article for quick reference when you need it! To illustrate the different query types in Elasticsearch, we will be searching a collection of book documents with the following fields: title, authors, summary, release date, and number of reviews. The following is an overview for querying Elasticsearch. You can read more on the Elasticsearch website. We use elasticsearch to support our reporting backend. There are two main types of queries in Elasticsearch; the leaf and compound queries. In this post, I am going to discuss Elasticsearch and how you can integrate it with different Python apps. Query DSL in Elasticsearch is a way to perform query on elasticsearch cluster. NET client for Elasticsearch, NEST. While there are several books about ElasticSearch that will teach you just about everything this book doesn't try to do that. The example is using the Painless scripting language, which is a sandboxed. We are looking at using Dremio on top of our existing Elasticsearch cluster. There are also a few libraries out there for building elasticsearch queries: elastic. Leaf queries look for particular values within particular fields. tags-as-fields. Consider the following method signature:. It is accessible from. A query is made up of two clauses − Elasticsearch supports a large number of queries. http,elasticsearch,docker. One of the most powerful features by ElasticSearch outside of full-text searches. In addition, for each index you want to query upon, your user account need to have the 'read' and 'view_index_metadata' privilleges as well. Elasticsearch update by query add field. The above Nested aggregated query does not give all the columns in the table as the response of elasticsearch. We use elasticsearch to support our reporting backend. Since match_all queries are common, the previous example also has a shorthand which serializes to the same query DSL JSON searchResponse = _client. NET client for Elasticsearch). Useful when multiple inner hits have been defined in a single search request. 0 release is the new Aggregations framework. Query: John California Honda Fields: Name, State, Car This query should search the term John in all three fields and so on for the other terms present in the query. And more concerning, we were seeing a huge increase in the amount of RAM required to handle each query. It's time to visit an old friend in the Siteworx Developer Focus Elasticsearch Series - we're coming full circle! Way back in our fifth video, we added the how_to_find nested field, with game and. For has_child query and filter this is the child type, has_parent query and filter this is the parent type and the nested query and filter this is the nested path. QueryShardException. but I'd like it to get cheapest, so I'm missing sorting by price. Welcome to part three of my series on Elastic using. The example Elasticsearch index we build today will be really small, but many indexes can get quite large and it isn't uncommon at all to have Elasticsearch index with multiple terabytes of data in them. Net client that you can fall back to in case anything is missing: //. Upgrading from 2. The first part will cover the reasons for choosing NoSQL, an explanation of Elastic, and installing and communicating with Elastic. A tutorial repository for Elasticsearch and NEST. Property expressions can refer only to a direct property of the managed entity, as shown in the preceding example. How to combine elasticsearch queries. Below is an example request for creating the movies index with the title field mapped with the English analyzer: Related Page: Define Elasticsearch Custom Analyzer With Example Creating the movies index with the title field mapped to use the english analyzer. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. You can run a search and it runs the wrong results and you are not made aware of that. While the results you see may not be this drastic, depending on the query frequency and index size, it illustrates how important it is to manage the scope of your searches and index appropriately. In this tutorial we will show you how to add a new nested field (array data) in Elasticsearch with the help of update by query method of Elasticsearch. Moreover, query builders are common, especially for SQL -- sequelize, knex. Here is an example using a query to filter the results. The query against nested objects is executed as if the nested documents were indexed independently from the parent document using special query Dsl syntax:. Command line utility, written in Python, for querying Elasticsearch in Lucene query syntax or Query DSL syntax and exporting result as documents into a CSV file. One of the most powerful features by ElasticSearch outside of full-text searches. The used in the example match query is a high-level query and it understands the field mappings. Global timeout can be set when constructing the client (see Connection ’s timeout parameter) or on a per-request basis using request_timeout (float value in seconds) as part of any API call, this value will get passed to the perform_request method of the connection class:. For example, for the given NEST search query:. Version compatibility. c# - Creating query with raw strings in nest elasticsearch I need to create the query dynamically. We search each index separately, aggregate all. This DSL is based on JSON and is exposed in NEST in the form of both a Fluent API and an Object Initializer. The challenge is to model your data in a way that it fits into one of these two options. In this article, we will discuss about "How to create a Spring Boot + Spring Data + Elasticsearch Example". This article is especially focusing on newcomers and anyone new wants to learn or thinking of using ES in their. Your votes will be used in our system to get more good examples. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable. However, the disadvantage is also very obvious. I see that the NEST client has the LowLevel ES client as an option. I have already covered how you can easily integrate Elasticsearch with your app, but I haven't talked anything about how you can query your data. The compound queries are one of the most used features in ElasticSearch and amongst them, the bool query is where the ElasticSearch truly stands out. I've tried your example and when I add another person in "cat1" and retry your request, it returns me the other person too. Nest is a high level client that provides a strongly typed query DSL that maps one-to-one with the Elasitcsearch query DSL, and takes advantage of specific. The example is using the Painless scripting language, which is a sandboxed. We use elasticsearch to support our reporting backend. How to combine elasticsearch queries. Term(p => p. This approach works well for matching query in the middle of the text as well. From the package manager console inside visual studio. The usual Lucene query syntax is available either through the JSON query language, or through the query parser. js and esq, unfortunately these have received little maintenance recently. elasticsearch) submitted 7 months ago by neorr I have some mapping with sample data, and also query aggregating that data, that works ALMOST like I want it - thanks to "size": 1 it gets me only one variant. ToXContent class. ElasticSearch - nested mappings and filters Tags elasticsearch , mapping There's one situation where we need to help ElasticSearch to understand the structure of our data in order to be able to query it fully - when dealing with arrays of complex objects. com and, or, and not queries are deprecated in elasticsearch 2. In a previous post I looked at moreLikeThis queries in Azure Search. QueryContainer extracted from open source projects. Two Phases of Elasticsearch: Query then Fetch. Elasticsearch uses _parent field to built an id cache which makes parent-child query/filter fast. This time around, we'll cover a few queries. In order to surface even more meaningful data for our customers, we recently added 5 more nested aggregates to some of our core queries. 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: