Elasticsearch Count Documents By Field Value

Elasticsearch indexes also contain inverted indexes, mapping field values to document ids. Elasticsearch Aggregations provide you with the ability to group and perform calculations and statistics (such as sums and averages) on your data by using a simple search query. BUILT ON TOP OF LUCENE – Being built on top of Lucene, it offers the most powerful full-text search capabilities. Here is a query which tests on a timestamp field, here getting only documents in given range. For every update, Elassandra reads for missing fields in order to build a full Elasticsearch document. 0 Lee Hinman. Create fields where you want to place the values stored in bookmarks. 6 multi-valued integer fields as above. When an NXQL query is processed by an Elasticsearch PageProvider or using the Nuxeo Elasticsearch search service, there are some limitations, specific configuration and more features available. How we reindexed 36 billion documents in 5 days within the same Elasticsearch cluster a large index is easy until you need to change an existing field type or. We can access this by calling the HTTP endpoint of the node. This also works great for search as you type. You can count unique values in a range by using a PivotTable, COUNTIF function, SUM and IF functions together, or the Advanced Filter dialog box. ElasticSearch(ES) is a search engine based on Lucene. Here is how: 1. preference (Optional, string) Specifies the node or shard the operation should be performed on. My Aic Insurance We are able to also suggest for approaches to reduce costs when the pace boost develop based on the varying well being insurance necessities. When the new pod is created it has the same number of documents as the original pod. Bucket Aggregations. language":"ruby" and"skills. We can access this by calling the HTTP endpoint of the node. NOTE: In order for TShark to be able to extract the field value from the packet, field MUST be part of the filter string. list of all possible field codes for microsoft word? I'd like to know if there exists a comprehensive list of all possible field codes that can be used in microsoft word. 5 Fields fields参数 6. ElasticSearch's query DSL has a wide range of filters to choose from. BUILT ON TOP OF LUCENE – Being built on top of Lucene, it offers the most powerful full-text search capabilities. Is there a way I can filter these values based on a tag column or any calculated field? I know I can apply searches based on the column values but I want to filter using a tag column. A section of Elasticsearch’s aggregations framework named bucket aggregations provides the functionality we need to implement a faceted navigation. While the syntax differs there are no groundbreaking differences in the functionality. Let's say we have an ElasticSearch index called strings with a field pattern of {"type": "keyword"}. When either the “Select a file” or “Scan a document form” option is chosen, Acrobat Pro DC analyzes the document, adds any detected form fields, and puts the document in Forms Editing Mode. デフォルトのクエリでは検索クエリとのマッチ度を計算して、score フィールドに返している. The mongocxx Driver. If we want to get the top N ( 12 in our example) entries, i. Since any duplicate source documents will also have the same document id, Elasticsearch will ensure that these duplicates won't become part of the index. While Elasticsearch does not track hit/miss rates, it is recommended to set this large enough to hold all the values in memory for a field. ElasticSearch and Redis are powerful technologies with different strengths. You already saw an example when adding features in the last section:. For example a subcategory has 20 documents underneath total gives me 20. if you want to achive below scenario in ES then you can use "_update_by_query" functionality provided by ES SQL : UPDATE table_name SET column1 = value1 WHERE condition;. Suggestions cannot be applied while the pull request is closed. The primary motivation for this was the support for types being dropped from elasticsearch itself in 7. elasticsearch index – a collection of documents. An Elasticsearch river represents a dataflow between an external datasource and the Elasticsearch index. Elasticsearch returns 211 results (L10) for this query each with a _score value of 0. One of the contrived fields in the document is search_rank. 8 and newer. They will likely work with newer versions too. Examples of bucketing aggregations are. Summary functions can be carried out on all fields that are not contained in tables and conditional queries can be employed to populate precise summary values. the Slant team built an AI & it's awesome. Army’s Asymmetric Warfare Group was formed in 2006 to identify gaps in U. The maximum width of the field for the result set (the length in bytes of the longest field value for the rows actually in the result set). Within Graph there's the option to view the data associated with one or more vertices. Guide for using Elasticsearch in Grafana. The only provision I've found for this is something called RevNum but that gets updated every time I save the document. When you use a fieldName to perform a lookup, the value returned is the value that is actually stored in the field; it may be different from what displays in the view. As a developer working with SQL Server there was a need to import data from the database to Elasticsearch and analyze data in Kibana. value for a single purpose Elasticsearch server is about 50% of of affiliated with Elasticsearch. Formulas may involve functions, numeric operations, logical operations, and text operations that operate on fields. The _all field is generated in the background when your document is indexed unless you've explicitly disabled it via the index metadata. As Elasticsearch is an open source project built with Java and handles mostly other open source projects, documentations on importing data from SQL Server to ES using LogStash. Specify _source to return the full updated source. elasticsearch shard – because elasticsearch is a distributed search engine, an index can reside on one or more nodes. js and Elasticsearch Inside the search type object, we identify the document field to be summation, and value count. Return the relevant fields from the updated document. In metrics aggregations, we can calculate metrics on a field while in the bucket we don't perform calculations but just create buckets with the documents which can be clubbed on the basis of certain criteria. Example 5: Geo-search. For example, 0. With es-search. It is similar to the GROUP BY clause and aggregate functions in SQL. Elasticsearch's secret sauce for full-text search is Lucene's inverted index. Multi-value fields are one of the core features of Lotus Notes and Domino. The following statements at the top of your source file:. dayOfMonth) fails. 6 single valued integer fields as above. I need to aggregate the index in a way such that I can group all Word, Powerpoint and Excel documents each in a single aggregate. I have tried to use Qlik rest connector for elasticsearch using custom pagination and scrollid. If callable it will be called every time a new object is created. I need to update multiple documents based on query such as: "user" : 1. Control total hit count. Indexing creates or updates documents. 6 Elasticsearch _version field can be leveraged to implement a compare-and-swap loop. Because of the nature of this approach, if we want to give a different boosting to the document, the document must be re-indexed in order to apply. Thankfully, there’s a costume choice and/or decoration for every sensibility. In the case of Elasticsearch, we use to bucket data on the basis of certain criteria. js and Elasticsearch Inside the search type object, we identify the document field to be summation, and value count. You can use the following query, Here you can first filter the document for CategoryList. The VALUE attribute specifies the name of the initial file, but it is typically ignored by browsers as a security precaution. I need to update multiple documents based on query such as: "user" : 1. Equality, Ranges, Minimal values and others are supported. It is similar to the GROUP BY clause and aggregate functions in SQL. Count unique values in pivot table with Value Field Settings in Excel 2013 and later versions. ElasticSearch is document oriented. My favorite fields are page number fields. If you want to count up the occurrences of a field on documents, the value count aggregation will produce the total. value = 80 previously looked like:. With the example dataset, I have created a metric widget that shows the "Count" (the number of items in the dataset), the "Max High" (the highest peak in the dataset) and the "Average High" (the average value of the High-field). What is ElasticSearch? ElasticSearch (ES) is a distributed and highly available open-source search engine that is built on top of Apache Lucene. Each one of these documents will contain specific data related to car, bike and truck respectively. Pagination of results can be done by using the from and size parameters. My Aic Insurance In the event you need the perfect insurance in the best value allowable, you will include to pay more. To learn more, see Elastic Product End of Life Dates. 06/13/2019; 9 minutes to read; In this article. In this post, I am going to discuss Elasticsearch and how you can integrate it with different Python apps. See also Greg Maxey's page on Calculated Dates. To understand why, we can compare Doc Values with “normal” fields in ES. Then in the Text group click on Quick Parts then Field. In the generic form of the formula above, a1 represents a cell that contains text. 000 documents seem to confirm the second observeration. If you are mean the occurrence of distinct data on a field, you can use normal terms aggregation. x In this article we see how to execute and view a search operation in ElasticSearch. When it comes to store time series data, a multitude of time series database (TSDB) are available. CRUD stands for create, read, update, and delete. elasticsearch. What is ElasticSearch? ElasticSearch (ES) is a distributed and highly available open-source search engine that is built on top of Apache Lucene. Distinct values of a field in a MongoDB collection or query, specified as a cell array. It's an open-source which is built in Java thus available for many platforms. Elasticsearch is a distributed NoSQL document store search-engine and column-oriented database, whose fast (near real-time) reads and powerful aggregation engine make it an excellent choice as an 'analytics database' for R&D, production-use or both. NET solution to which the client would randomly upload a Word document as a template with pre-defined 'mail merge' fields which would then be automatically. If you work with JSON documents that are new to you, it can be very helpful to fully expand JSON to see at a glance what’s in there. Practical guide to grouping results with elasticsearch. 6 single valued integer fields as above. To avoid possible naming conflicts to existing software, I decided to rename my little app to AHK ToDo-List. level":"beginner") are present in his document. If you want to do a DISTINCT count however, look to the Cardinality aggregation. Within Graph there's the option to view the data associated with one or more vertices. Its been used quite a bit at the Open Knowledge Foundation over the last few years. So I create a new calculated field Called "MyAlpha" and want to put in something like: = Left(Name, 1) But the 'Name' field is not showing in the list of available fields to use in the calculation. As Elasticsearch is an open source project built with Java and handles mostly other open source projects, documentations on importing data from SQL Server to ES using LogStash. default¶ The default value for the field. ElastAlert: Alerting At Scale With Elasticsearch, Part 1 Quentin L. The sample index includes a geo_location field with latitude and longitude coordinates. The original JSON document that is indexed will be stored in the _source field, which is returned by default when getting or searching for a document. The user can input any value by default, even if it does not appear in the selection list; to prevent free-form values and restrict them to items in. A filter provides criteria for selecting documents used in an Azure Search query. Results are not accurate for a multi-value field that is sorted but not categorized. x search engine. The _boost field (document-level boost) was removed, but field-level boosts, and query boosts still work just fine. Value) query using the FilterDefinitionBuilder. These aggregations help in computing matrices from the field's values of the aggregated documents and sometime some values can be generated from scripts. You already saw an example when adding features in the last section:. Thanks for A2A. Jan 4, 2018. A section of Elasticsearch’s aggregations framework named bucket aggregations provides the functionality we need to implement a faceted navigation. d/ and update the template value. When you index a document into Elasticsearch, the original document (without any analyzing or tokenizing) is stored in a special field called _source. elasticsearch shard – because elasticsearch is a distributed search engine, an index can reside on one or more nodes. It is a generic term handed over to the laymen as a way of avoiding discussing the specifics of the various models. 6 multi-valued string fields with 1-5 values per field, with 10, 100, 1000, 10000, 100000, 1000000 unique values respectively. Elasticsearch boost per field with function score. Partial update in elasticsearch works same as updating whole document in Elasticsearch. What's new in Elasticsearch 5. These values can be extracted either from specific fields in the documents, or be generated by a provided script. In the example, the formula in the active cell is:. Mastering elasticsearch : further your knowledge of the elasticsearch server by learning more about its internals, querying, and data handling / Rafał Kuc, Marek Rogozinski ; commissioning editor Akram Hussain ; acquisition editor Rebecca Youe ; copy editors Stuti Srivastava, Sameen Siddiqui. This is the primary motivation for the Elasticsearch team to implement a method, so as to browse through the unique terms, without being heavier than the previous methods, and also at the same time accurate. Typically documents are written as a single-level JSON structure. Bucket Aggregations. Remember that on my Windows laptop, I also wanted to be able to use Postman (for sending requests), via port forwarding this was made possible. ElasticSearch's query DSL has a wide range of filters to choose from. It's an open-source which is built in Java thus available for many platforms. Pages can have more than one form on them. This involves the computation of the unique field values for a field at the query time. A description of HTML 4's INPUT element for form input. IDF value drops for more frequent terms (here with 10K docs in the index) Lucene also normalizes scores by document length. Use the Advanced Filter dialog box to find the unique values in a column of data. The longer the document, the more likely it is to contain that field by pure chance, so it will get a lower score (score/sqrt(docLength) will be the result). field - A timestamp field name. When the new pod is created it has the same number of documents as the original pod. I need to aggregate the index in a way such that I can group all Word, Powerpoint and Excel documents each in a single aggregate. 6 multi-valued integer fields as above. It has over 170 advance recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5. As the documentation says top_children first queries the child documents and then aggregates them into parent documents. Meta: Being put into i ndividual aggregations at request time that will be returned in place at the response time. In such cases, we could set that particular field to be the document id for the Elasticsearch index. NULL values are ignored unless all values in a column are NULL values. A Kibana dashboard is just a json document. As this is a Java-oriented article, we're not going to give a detailed step-by-step tutorial on how to setup Elasticsearch and show how it works under the hood, instead, we're going to target the Java client, and how to use the main features like index, delete. x connector that ships with the Foundation app suite. Mirrorweb uses Amazon Elasticsearch Service to make the UK Government and UK Parliament’s web archives searchable. Each index contains a set of related documents in JSON format. Install Elasticsearch from archive on Linux or MacOS; Install Elasticsearch with. ElasticsearchでSearch APIを使ってみたメモです。. Passes a document to the next stage that contains a count of the number of documents input to the stage. For example: "aa bb", and it'll get elements, where each element is in both class “aa” and “bb”. Elasticsearch returns 211 results (L10) for this query each with a _score value of 0. The nested type explicitly keeps nested documents separated. Search Guard offers encryption, authentification, authorization, audit logging, multitenancy and compliance features (for regulations like GDPR, HIPAA, PCI DSS or SOX). But it's not listed in the available fields to calculate off. A filter provides criteria for selecting documents used in an Azure Search query. These fields vary by client. Elasticsearch NXQL Limitations. We can build an all_content. Notes about Elasticsearch. Volumes are non-trivial at up to 200,000 documents ingested per hour received via a common Logstash instance, but query activity is very light, with only occasional usage via Kibana for application troubleshooting. elasticsearch,lucene,solr-boost. In this blog we want to take another approach. The average gold grain content is 20 (normalized to a 10kg sample weight), with a maximum value of 144 grains (normalized count). Specify _source to return the full updated source. Plus, as its easy to setup locally its an attractive option for digging into data on your local. How to get unique or distinct values from elastic search query ? I want to get all the unique vales and not their total count. To succeed at Six Sigma, you'll often have to analyze and summarize text data. The requirements involved tracking the lifecycle of a document that entered the company via various input channels, and is processed by a number of automated systems. An aggregation can be viewed as a working unit that builds analytical information across a set of documents. Here we're asking for all documents where field1 matches "value1" AND field2 matches "value2". It will build one big value out of it, which will be analyzed by the standard analyzer and put into it’s own inverted index. We are using cURL commands to insert document values in Elasticsearch. Elasticsearch is a distributed NoSQL document store search-engine and column-oriented database, whose fast (near real-time) reads and powerful aggregation engine make it an excellent choice as an 'analytics database' for R&D, production-use or both. Only used for field_stats based calculations. We can also specify a field in the. Python Elasticsearch Client¶. ElasticSearch(ES) is a search engine based on Lucene. This article shows how to do searches across multiple indices and types in Elasticsearch using ElasticsearchCRUD. Filter indices by age (field_stats)¶ This example will match indices with the following criteria: Use days as the unit of time measurement; Filter indices where the timestamp field's min_value is a date older than 3 weeks from this moment. So I create a new calculated field Called "MyAlpha" and want to put in something like: = Left(Name, 1) But the 'Name' field is not showing in the list of available fields to use in the calculation. In case you want the unique number of terms occuring in a field, you can use the cardinality aggregation feature in elasticsearch Or if you are meani. A Kibana dashboard is just a json document. Is there a way I can filter these values based on a tag column or any calculated field? I know I can apply searches based on the column values but I want to filter using a tag column. Mastering elasticsearch : further your knowledge of the elasticsearch server by learning more about its internals, querying, and data handling / Rafał Kuc, Marek Rogozinski ; commissioning editor Akram Hussain ; acquisition editor Rebecca Youe ; copy editors Stuti Srivastava, Sameen Siddiqui. Get Elements by Matching the Value of the “class” Attribute. Have you disabled the _all field? That is the catch-all field that is used for a query when you don't specify a field. If none of the marks are checked, the default value will be used (e. Inserting data so if you want you could add more by using bulk insert method. The simplest way to ask ElasticSearch what a field contains is to query the index and return the relevant field. The jQuery / Javascript. A document is the basic record you store in Elasticsearch. Applies to all returned documents unless. The monitor collects a subset of node stats of JVM, process, HTTP, transport, indices and thread pool stats. Open SharePoint designer and connect to your site. Background information for the technology and concepts used by the product is also discussed. zip on Windows; Install Elasticsearch with Debian Package; Install Elasticsearch with RPM. The from parameter defines the offset from the first result you want to fetch. Copying, publishing and/or distributing without written permission is strictly prohibited Sizing a cluster or node. js and Elasticsearch Inside the search type object, we identify the document field to be summation, and value count. 6 multi-valued integer fields as above. As with many distributed systems, Elasticsearch scales in two axes: sharding and replication. Brilliant, Thanks. Looks like a SQL group by + count , but. DOCUMENT-ORIENTED – It stores complex entities as structured JSON documents and indexes all fields by default, providing a higher performance. Counting unique occurrences of values. For example, all systems can compute the average value of an aggegrated numeric field. Coding compiler sharing a list of 40 Real-Time Elasticsearch interview questions for experienced. The jQuery / Javascript. Elasticsearch Cheatsheet : Example API usage of using Elasticsearch with curl - cheatsheet-elasticsearch. For example, if you reward the top 10 percent of your sales staff, you can create a query that sorts the query results according to the values in the Total Sales field and displays the best values. No guarantees are given for any later versions of Word,. See the query dsl for more information. This post is meant as a cheat-sheet entry point into ElasticSearch APIs. We like it's simplicity, scalability, speed and the easy to use REST API. stats_result - Either min_value or max_value. The values for those document fields will be read from the Book model. To reduce the size of the Elasticsearch response, use the filter_path parameter to exclude fields that you don't need. Tabb Created 7/10/01 Updated 6/28/03 1 Introduction One of the most common techniques for separating mixtures of proteins is the two-dimensional polyacrylamide gel. You can use filters to search for values in the fields displayed on the active view and across all records available in the searchable set. Tutorial for mongocxx Prerequisites. The most basic unit in this namespace is the PropertyField. The facet is a predefined statistical facet for number fields in this case our word_count field. Get the top N values of the column. You can use NULL (no value) to mean all values. Elasticsearch is a powerful search engine that makes it easy for us to search, filter and aggregate documents. In the case of a title Field, the field name is title and the value is the title of that content item. To understand why, we can compare Doc Values with “normal” fields in ES. Creating these fields on a form is simple within Domino Designer. The first step is to execute an Elasticsearch query to fetch statistics from an index which includes a “score” and a “state” field, i. Count - provides the document count of the entire cluster or individual indices. 1 Documents and Field Basics. This value is the NATEIP of your stack. Count the number of unique values in a list column by using Advanced Filter. These aggregations help in computing matrices from the field's values of the aggregated documents and sometime some values can be generated from scripts. value for a single purpose Elasticsearch server is about 50% of of affiliated with Elasticsearch. When you use a normal field for sorting or aggregations, it is loaded into the fielddata cache. Segment immutability also means that document updates function the same way: when a document is "updated" it is actually flagged as deleted and replaced with a new document that has the appropriate field change(s). , Software Engineer Oct 6, 2015 Elasticsearch at Yelp Yelp’s web servers log data from the millions of sessions that our. For each user or group name that you add, you add the values for each field. Elasticsearch returns 211 results (L10) for this query each with a _score value of 0. A single-value metrics aggregation that counts the number of values that are extracted from the aggregated documents. You will also see how to include parameters within scripts. This method is provided to allow subclasses to optimize count queries since they are quite common and often a datastore can retrieve the count using some specialized means which is much more performant than counting all records manually. The limitation of this method lies in the manner as ElasticSearch stores your data. but in that document i want to check some field's value if this field is empty in 1 document then it should give me 19 or if 13 documents underneath that subcategory has a field A=""(field A empty) then i want. Elasticsearch boost per field with function score. It provides a document count for each field value: Example: The purpose is … - Selection from Advanced Elasticsearch 7. Elasticsearch is built around indexes, that index a collection of documents grouped by type. In this post, I am going to discuss Elasticsearch and how you can integrate it with different Python apps. Most of the time this will be the values contained in your document, but they can also be the results of scripts. To do top level inner hits in elastic4s we can do:. 前回ElasticsearchとKibanaをインストールしたので、Search APIを使ってみました。. evictions (gauge) The total number of evictions from the fielddata cache. For search-only fields, set store to false. · Copy the title, YourName and Score fields from the Documents item into the Certificates item. Ask Question Asked. Documents have fields which point to values and have an assigned data type. Use these Excel macros to make the list, then add your comments in the Notes column, if necessary, to document what each field contains. The average gold grain content is 20 (normalized to a 10kg sample weight), with a maximum value of 144 grains (normalized count). The longer the document, the more likely it is to contain that field by pure chance, so it will get a lower score (score/sqrt(docLength) will be the result). 3Logging elasticsearch-py uses the standardlogging libraryfrom python to define two loggers: elasticsearch and elasticsearch. The limitation of this method lies in the manner as ElasticSearch stores your data. Unique/Distinct values from elasticsearch query. These aggregations help in computing matrices from the field’s values of the aggregated documents and sometime some values can be generated from scripts. I tried to figure this out from online docs, but I couldn't quite get it to work for some reason. For some reason it is not pulling all the data. Defaults to false. When the new pod is created it has the same number of documents as the original pod. Dragoman ltd is our solution partner and manages a network of interpreters & translators based in Istanbul, Ankara, Antalya and Izmir. 0 (2018-07-03)¶ Backwards incompatible change - DocType refactoring. , default True; fields – A comma-separated list of fields to return. Get Elements by Matching the Value of the “class” Attribute. The author finds out that you can filter by any non-null values using a special field name called _exists_. Count unique values in pivot table with Value Field Settings in Excel 2013 and later versions. Filtering provides a fast and easy way to search for items in a list in Relativity. Next, we need to tell Logstash to use this new template, so update the proper output file in /etc/logstash/conf. Each tuple contains the value from the respective field or expression passed into the values_list() call — so the first item is the first field, etc. min_score (Optional, float) Sets the minimum _score value that documents must have to be included in the result. 6 Hibernate Search sports an experimental integration with Elasticsearch. Vatican City, Oct 23, 2019 / 11:24 am (CNA). Elasticsearch Interview Questions And Answers 2019. Hi, I am trying to group multiple field values as a single aggregate. 0, Elasticsearch has supported inner hits. Documents are written to collections as free-form JSON; schemas can be overlaid onto collections to specify particular indexing strategies. Elasticsearch NXQL Limitations. The Elasticsearch Go indexer is included in Omnibus for GitLab 11. Applies to all returned documents unless. Is there a way I can filter these values based on a tag column or any calculated field? I know I can apply searches based on the column values but I want to filter using a tag column. The average gold grain content is 20 (normalized to a 10kg sample weight), with a maximum value of 144 grains (normalized count). Inner Hits. Meta: Being put into i ndividual aggregations at request time that will be returned in place at the response time. The _all field is a special field that is constructed by concatenating the values of all the other fields in your document so it's got all the terms found elsewhere, making it ideal for full text searching. Notice again that the first parameter, field_photo, has the prefix "field_data_" removed. 0 (2018-07-03)¶ Backwards incompatible change - DocType refactoring. When a query is performed, the. distance function that filters on documents within the circumference of a starting point, out to an arbitrary distance (in kilometers) that you provide. Elasticsearch Aggregations provide you with the ability to group and perform calculations and statistics (such as sums and averages) on your data by using a simple search query. This property can be overridden by selecting Advanced Settings on the Facets page (PeopleTools, Search Framework, Search Designer Activity Guide, Search Category, Facets. For more on Word fields in general, see my: Word Fields. Field Value Query. At this point, the PivotTable Fields pane looks like this: In the Values area, click the dropdown next to SumofSales2 and select Value Field Settings. That is, if you look in the database, you would see a table called field_data_field_photo, but for this parameter, you remove the prefix "field_data_" and just keep the "field_photo" suffix of the table name. Practical guide to grouping results with elasticsearch. You can count unique values in a range by using a PivotTable, COUNTIF function, SUM and IF functions together, or the Advanced Filter dialog box. For each file, wc will output three numbers. Here is a query which tests on a timestamp field, here getting only documents in given range. Python Elasticsearch Client¶. 前回ElasticsearchとKibanaをインストールしたので、Search APIを使ってみました。. elasticsearch. 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: