{"id":4793,"date":"2021-09-10T20:12:41","date_gmt":"2021-09-10T17:12:41","guid":{"rendered":"http:\/\/deltatyres.com\/?p=4793"},"modified":"2022-01-11T18:29:34","modified_gmt":"2022-01-11T15:29:34","slug":"compare-sql-server-results-of-two-queries","status":"publish","type":"post","link":"https:\/\/deltatyres.com\/en\/2021\/09\/10\/compare-sql-server-results-of-two-queries\/","title":{"rendered":"Compare Sql Server Results Of Two Queries"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">Live Query Statistics<\/a><\/li>\n<li><a href=\"#toc-1\">Sql Views Virtual Tables: What Are Views In Sql?<\/a><\/li>\n<li><a href=\"#toc-2\">Is This Sql Query Compare Tool Free?<\/a><\/li>\n<li><a href=\"#toc-3\">Checking Comparability With Sys Columns<\/a><\/li>\n<li><a href=\"#toc-4\">Data Analytics<\/a><\/li>\n<li><a href=\"#toc-5\">Ways To Compare And Find Differences For Sql Server Tables Data<\/a><\/li>\n<\/ul>\n<\/div>\n<p>You need to enable this feature and you also need to have SQL Server Agent running. Basically it creates system tables that track the changes in your tables that you want to monitor. It does not compare tables, but it tracks the changes in tables. If we flip the tables around in the query we won&#8217;t see any records, because the table in database dbtest02 has all of the records plus one extra. In this example, we are comparing 2 tables and the NULL are displayed if there are no matching rows. This method works to verify new rows, but if we update other columns, the LEFT JOIN does not help.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"302px%\" alt=\"Ways To Compare And Find Differences For Sql Server\"\/><\/p>\n<p>Which as stated, would return all rows from table1 that do not have an exact match in table2. The DIFFERENCE() function compares two SOUNDEX values, and returns an integer. The integer value indicates the match for the two SOUNDEX values, from 0 to 4. The result of the DIFFERENCE() indicates the difference between the two SOUNDEX() values on a scale of 0 to 4. A value of 0 means weak or no similarity between SOUNDEX() values; 4 means strongly similar or identical SOUNDEX() values.<\/p>\n<h2 id=\"toc-0\">Live Query Statistics<\/h2>\n<p>To reduce IO usage, the ALTER TABLE was updated, minimizing the number of log writers. Several DDL and DML commands were added such as null values, foreign keys and DML triggers. This allows you to have a single primary and single replica database.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\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H1InrITIUC+XH0bvTWq+FVXgTy4+jd6a1Xwqq8CeodS7iXkx7Q6X38PqRPWQmQoF8uPo3emtV8KqvAnlx9G701qvhVV4E9Q6l3EvJj2h0vv4fUieshFAvlx9G701qvhVV4ET1DqXcS8mPaHS+\/h9SPy1REXdzzqEREAREQBERAEREAREQBERAEREBXeIVMkoiAZKIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgCIiAIiIAiIgP\/\/Z\" width=\"309px%\" alt=\"Ways To Compare And Find Differences For Sql Server\"\/><\/p>\n<p>Given examples are simple to follow, we can have complex queries and can apply the mentioned constructs in them and can compare. If we check the output, we do not have duplicate records. If you look at the output, the data from both the tables are combined and hence we can see the above output. SELECT ALL USERS SECURABLES; allows you to view data in the allowed databases.<\/p>\n<h2 id=\"toc-1\">Sql Views Virtual Tables: What Are Views In Sql?<\/h2>\n<p>There are many tools available for the comparison of schema &#038; data of the production database. The view is a query stored in the data dictionary, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Waterfall_model\">Waterfall model<\/a> on which the user can query just like they do on tables. It does not use the physical memory, only the query is stored in the data dictionary.<\/p>\n<p>He has nurtured his managerial growth in both technical and business aspects and gives his expertise through his blog posts. In the given Image, For Lineage table, Lineage Key is the primary key, which is displayed only once, then Table Name , Table Name , Data Load Completed , Data Load Completed so on. Comparison can be saved as a SchemaCompare file (.scmp). Excluded objects will remain excluded while reopening the file. As Boris points out, they aren\u2019t free , so you may not always have them, especially when working for a small client on a small project.<\/p>\n<h2 id=\"toc-2\">Is This Sql Query Compare Tool Free?<\/h2>\n<p>After we have run our updates, we can now run the modified EXCEPT statement query against our source and target tables. If you\u2019ve been following along, you\u2019ve probably already realized that this will be tedious to write for anything but a trivial example.<\/p>\n<p>SSDT can be installed as part of Visual Studio Installation. Visual Studio Community Edition also supports this and facilitates developers who are working on database development. I had an opportunity to test the tablediff utility, for some reason it was performing lot slower (2-3x slower) compared to T-SQL methods below. However it is good for conducting cross-server table differences . Stack Exchange network consists of 178 Q&#038;A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. \u2013 Learn the similarities and differences between SQL CTEs and views to finally understand when to use which. WHERE condition;To delete view, we can use drop view command \u2212DROP view view-name;Synonym is used as an alternate name assigned to a table or view.<\/p>\n<ul>\n<li>It allows you to perform the comparisons and deployments as part of a scripted process.<\/li>\n<li>Here is an answer discussing LEFT JOIN vs NOT EXISTS, and then here is one comparing NOT EXISTS to NOT IN. EXCEPT looks at all columns, and since you are basing it off the PK only you wouldn&#8217;t want to use it.<\/li>\n<li>All the records except identical records will be selected by default.<\/li>\n<li>Moreover, you can enhance your high-value data by combining it with big data and the ability to dynamically scale-out compute to support analytics.<\/li>\n<\/ul>\n<p>The column at the right shows the result of the difference between the current and previous years. Calculating the difference between two rows in SQL can be a challenging task.<\/p>\n<h2 id=\"toc-3\">Checking Comparability With Sys Columns<\/h2>\n<p>When faced with a situation where data types are mismatched, the best solution is to change your database schema to remove the inconsistency altogether. In addition to improving execution plans, ambiguity will be removed as to what a column is supposed to be. It will also eliminate the entry of bad data, which could lead to application errors, database errors, and the arduous task for a DBA to clean up that data after-the-fact. The data types of columns that we use for filtering and joining are critical to ensuring the best possible performance. Good database design is the key to preventing data type clashes in the future.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"305px%\" alt=\"Ways To Compare And Find Differences For Sql Server\"\/><\/p>\n<p>Let us insert few records into the table and check the result contents of the table. This metadata system objects are a cumulative collection of data structures of SQL servers. When DMVs are used, they define the baseline or pressure points of various metrics that determine the performance of the database system. DMFs offer aggregate statistics of the requested parameters. This allows you to query data from a distinct focal point. As such, you can query data stored in Oracle, Teradata, HDFS or any other sources.<\/p>\n<p>Nice article, but particularly CHECKSUM() generates VERY OFTEN the same hash for different input, so you can use it only for a first check. BINARY_CHECKSUM() is a little bit better and HASH_BYTES() much better . So there you have a very quick way to see if the data in two tables matches. The checksums are <a href=\"https:\/\/en.wikipedia.org\/wiki\/Integration_testing\">Integration testing<\/a> different so that means that the data is now also different. For some reason I\u2019ve got two copies of the Databases tables from the Undercover Catalogue that I want to check match. As mentined, the first should be to get data from each SQL in its own database and perform the comparison at database level.<\/p>\n<h2 id=\"toc-4\">Data Analytics<\/h2>\n<p>Here, you can select\/unselect tables &#038; views, which will be compared. This window will have three options to choose from.SQL Server Database Project can be selected. This project file (.sqlproj) should be there in the current solution.<\/p>\n<h2 id=\"toc-5\">Ways To Compare And Find Differences For Sql Server Tables Data<\/h2>\n<p>We\u2019ve shown how important LAG() and LEAD() are, but there are many more window functions in SQL. I suggest the following article about window functions to get some background on them. Until now, you\u2019ve calculated differences between contiguous records based on specific order criteria. In some cases, you\u2019ll need to calculate the difference between non-contiguous <a href=\"https:\/\/day-trading.info\/ways-to-compare-and-find-differences-for-sql\/\">ways to compare and find differences for sql server<\/a> records. Let\u2019s insert some initial values into our source table to set up our scenario. We will then duplicate the data by bulk-copying them to our target so that we can start with equivalent datasets. In other words, by joining the two datasets together by their keys, we no longer have the dataset differences between them, but the row differences.<\/p>\n<p>The new-edge tools have taken over the IT space like a storm. Many tools bring revolutionary changes and one of them is SQL. SQL Server data tools include a Schema Compare utility <a href=\"https:\/\/www.microsoft.com\/en-us\/download\/details.aspx?id=35\">directx<\/a> which is used to develop and compare different databases. There are many scenarios where an SQL software programmer or database administrator needs to compare two databases.<\/p>\n<p>Typically this is not the case and this means that they must be handled with special logic on a column-by-column basis to perform a comparison and can impose logic issues when handled inadequately. It was distasteful to me, but I began with the knee-jerk approach of performing column-by-column comparisons, and in the process I wondered if I could somehow leverage the EXCEPT statement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content Live Query Statistics Sql Views Virtual Tables: What Are Views In Sql? Is This Sql Query Compare Tool Free? Checking Comparability With Sys Columns Data Analytics Ways To Compare And Find Differences For Sql Server Tables Data You need to enable this feature and you also need to have SQL Server Agent running. Basically&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[35],"tags":[],"_links":{"self":[{"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/posts\/4793"}],"collection":[{"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/comments?post=4793"}],"version-history":[{"count":1,"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/posts\/4793\/revisions"}],"predecessor-version":[{"id":4794,"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/posts\/4793\/revisions\/4794"}],"wp:attachment":[{"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/media?parent=4793"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/categories?post=4793"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/deltatyres.com\/en\/wp-json\/wp\/v2\/tags?post=4793"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}