python script to compare two database tables

The time between the two queries is identical. The best answers are voted up and rise to the top, Not the answer you're looking for? Thanks for contributing an answer to Database Administrators Stack Exchange! To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Extracting arguments from a list of function calls, Adding EV Charger (100A) in secondary panel (100A) fed off main (200A), Ubuntu won't accept my choice of password. 565), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI, Comparing 2 functions for any differences in the result set. How do I get the row count of a Pandas DataFrame? Script to compare data in all tables in two different databases, if the * UNION ALL SELECT B. Lets see how can we make use of this library. Compare fields of two tables and calculate field, How a top-ranked engineering school reimagined CS curriculum (Ep. To exclude all the changes, click the checkbox near the Target label. rev2023.4.21.43403. To share the UI we can use PyInstaller. For the comparison, we will be using the DataComPy library, which gives us a nice summary of the comparison. To compare two SQL databases with Visual Studio's Schema Compare feature, follow these steps: From the main menu, go to the Tools -> SQL Server sub-menu -> New Schema Comparison: This will load the SqlSchemaCompare query window and the first thing that needs to be done is to select source and target . Ignore whitespaces: white spaces are not important, regardless of their location in the source code. Making statements based on opinion; back them up with references or personal experience. A publication dedicated in explaining all things finance, banking and financial technology simply. You don't need 30 join conditions for a FULL OUTER JOIN here.. You can just Full Outer Join on the PK, preserve rows with at least one difference with WHERE EXISTS (SELECT A. IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, Should I use the datetime or timestamp data type in MySQL? Unexpected uint64 behaviour 0xFFFF'FFFF'FFFF'FFFF - 1 = 0? In PyCharm, you can compare database objects and the output of tables, views, and materialized views. By using the csv module, we can quickly access the data within a csv file. Can I do a hash on the table it's self like I would be able to on an individual file or filegroup - to compare one to the other. This button displays the currently selected search type. This framework can be used for upgrade testing or any other scenarios where two tables that share the same DDL needs to be compared. Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey. The primary key on the table is weird, however, as it's a composite key of 10 fields (it's an audit table). Import Datacompy & Compare two dataframes, compare = datacompy.Compare( df1, df2, join_columns=acct_id, #You can also specify a list of columns abs_tol=0.0001, rel_tol=0, df1_name=original, df2_name=new), DataFrame Columns Rows0 original 5 71 new 4 6, Number of columns in common: 4Number of columns in original but not in new: 1Number of columns in new but not in original: 0, Matched on: acct_idAny duplicates on match values: YesAbsolute Tolerance: 0.0001Relative Tolerance: 0Number of rows in common: 5Number of rows in original but not in new: 2Number of rows in new but not in original: 1, Number of rows with some compared columns unequal: 3Number of rows with all compared columns equal: 2, Number of columns compared with some values unequal: 3Number of columns compared with all values equal: 1Total number of values which compare unequal: 5, Columns with Unequal Values or Types , Column original dtype new dtype # Unequal Max Diff # Null Diff0 dollar_amt float64 float64 1 0.05 02 name object object 2 0.00 01 qty float64 float64 2 3.00 1, Sample Rows with Unequal Values -, acct_id dollar_amt (original) dollar_amt (new)0 1234 123.45 123.4, acct_id qty (original) qty (new)5 1238 8.0 5.003 1237 NaN 345.12, acct_id name (original) name (new)0 1234 George Maharis George Michael Bluth3 1237 Bob Loblaw Robert Loblaw, Sample Rows Only in original (First 10 Columns) -, acct_id dollar_amt name qty date_fld6 1239 1.05 Loose Seal Bluth 29.0 1/1/20174 1237 123456.00 Bob Loblaw NaN 1/1/2017, Sample Rows Only in new (First 10 Columns) , acct_id dollar_amt name qty7 1240 1.05 Loose Seal Bluth 111.0, intersect_rows, df1_unq_rows, df2_unq_rows, intersect_rows compares all the columns of Matched rows and returns true if matched and False if unmatched.

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