I have a database with hundreds of tables, what I need to do is export specified tables and insert statements for the data to one sql file. The only statement I know can achieve this is pgdump.

Welcome to my public projects related to IMDBs database dumps :) Here is what this project will cover:

To make it easier to traverse this project as it gets bigger, I am going to put links to quickly go to the sections you want to.

Where to get the data, how to import it, including the idea of the relational model solution are in the 'How to get started' and 'Explanation of the solution' sections

Below are links to get you quickly to the destinations you require. For the Data Warehouse project I recommend going to the general folder first due to the README. There is important info there

Relational Model Project

Data Warehouse Project

How to get started

Here is IMDB's simple documentation on their DB dump:http://www.imdb.com/interfaces/

And here's their link from which you can download all the .tsv files:https://datasets.imdbws.com/

Keep in mind this Database is roughly around 5Gb after we’re done with our solution. This is not accounting to other testing tables you might create. So, keep at least 10Gb free on your PC for this project.First, create a testing database, it can be a tempDB it can be an actual database, it’s up to you.

Unfortunately (although justified) this dump is not their full database. So, you will come across some weird issues when importing.First of all, how to import the tsv files onto SQL Server as actual tables:

Although you are importing a flat file, in this case tsv (tab separated value), we will go with the ‘Import Data…’ option.
Reason being, is that the 'Import Flat File' option does not allow you to change how SQL Server will deal with strings that you are importing. And if you try to do it without changing that, it will always give you an error and won’t work.

After you choose 'Flat File' in the Data Source, and browse to the file you want to import, go into Advanced and mark all columns. The Columns by default are on string[DT_STR], we don’t want that. Change it to the option [DT_TEXT] (not Unicode) or [DT_WSTR] (Preferably WSTR for Unicode/UTF8). The reason, is that STR is varchar and is in ANSI (also has a different size limit). This is a database in UTF8 format, with titles in different languages. So, you don’t want weird characters like these popping up.

After that you choose your testing database and import it there as a table (done by default).

Explanation of the solution

This solution is probably extremely inefficient but it was the way I solved it, so if you have any other solutions by all means, share them.

One of the biggest problems with this database are arrays, if you want to normalize the database you can’t have string arrays. The link up there will lead you to the folder holding all the scripts responsible for splitting all the arrays in the DB.

Depending on how you will solve this, you might be able to convert certain strings to their respective types. But in my solution dates and pretty much all other attributes except for Ratings are done in nvarchar. So most of your tables will have nvarchar as attribute types.

The IMDB_SCHEMA_TABLES script creates all tables and their respective schemas, this will be your “production” database, where your final product will be.

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The script for the Title_Crew table runned for around 2 hours on my rig, it outputs around 13.6 milion rows (around 4 million before splitting it). So, keep that in mind.

I have also included two scripts for Title.Type’s and Cast.Profession’s data, so you don’t have to import them, the link for them is up there.

Now for the second problem while importing this database to your real production database:

As mentioned before, this is not the full database… And I am not talking just about the tables, but the data itself. For example: there are more than one million titles included in the name_basics table in the “knownForTitle” attribute that don’t exist in the actual title_basics table (and even more in the title_crew table). So, when you try import data it will never work, it will give you an error that you’re violating the FOREIGN KEY CONSTRAINT.

The way I solved this is probably not the best way possible, but it works. I made in the testDB copies of the production tables but without any of the constraints, joined them together by putting the FOREIGN KEY constraint on the IDENTITY field. But after importing the data, I inner joined them on their tconst and nconst fields. This resulted in consistent data that only exists in all tables in the given database dump.

There is a link up there to take you immediately to the respective folder holding the script

After you import into the dummy tables the data from the tsv tables all you have to do now is write simple SELECT queries with INNER JOIN on the tconst and nconst fields instead of the generated ID.

The ability to restore MySQL logical backups is a significant part of disaster recovery procedures. It’s a last line of defense.Even if you lost all data from a production server, physical backups (data files snapshot created with an offline copy or with ) could show the same internal database structure corruption as in production data. Backups in a simple plain text format allow you to avoid such corruptions and migrate between database formats (e.g., during a software upgrade and downgrade), or even help with migration from completely different database solution.Unfortunately, the restore speed for logical backups is usually bad, and for a big database, it could require days or even weeks to get data back. Thus it’s important to tune backups and MySQL for the fastest data restore and change settings back before production operations.DisclaimerAll results are specific to my combination of hardware and dataset but could be used as an illustration for MySQL database tuning procedures related to logical backup restore.BenchmarkThere is no general advice for tuning a MySQL database for a bulk logical backup load, and any parameter should be verified with a test on your hardware and database. In this article, we will explore some variables that help that process. To illustrate the tuning procedure, I’ve downloaded IMDB CSV files and created a MySQL database with pyimdb.You may repeat the whole benchmark procedure or just look at settings changed and resulting times.Database:.

16GB – InnoDB database size. 6.6GB – uncompressed mysqldump sql. 5.8GB – uncompressed CSV + create table statements.The simplest restore procedure for logical backups created by the mysqldump tool. 18m15.266sIt will be great to test mydumper with CSV format, but unfortunately, it wasn’t implemented in the last 1.5 years:.Returning back to parallel CSV files load, even bigger transaction logs 2x8GB: 11m15.132s.What about a bigger buffer pool: -innodbbufferpoolsize=12G? 9m41.519sLet’s check six-year-old server-grade hardware: Intel(R) Xeon(R) CPU E5-2430 with SAS raid (used only for single SQL file restore test) and NVMe (Intel Corporation PCIe Data Center SSD, used for all other tests).I’m using similar options as for previous tests, with 100k rows split for CSV files load. Innodbbufferpoolsize = 8GB - innodblogfilesize = 8G - skip - log - bin - innodbflushlogattrxcommit = 0 - innodbiocapacity = 700 - innodbiocapacitymax = 1500 - maxallowedpacket = 1G - innodbdoublewrite = 0 - innodbautoinclockmode = 2. Single SQL file created by mysqldump loaded for 117m29.062s = 2x slower.

24 parallel processes of mysqlimport: 11m51.718s. Again hyperthreading making a huge difference! 12 parallel jobs: 18m3.699s. Due to higher concurrency, adaptive hash index is a reason for locking contention. After disabling it with -skip-innodbadaptivehashindex: 10m52.788s. In many places, disable unique checks referred as a performance booster: 10m52.489sYou can spend more time reading advice about uniquechecks, but it might help for some databases with many unique indexes (in addition to primary one).

The buffer pool is smaller than the dataset, can you change old/new pages split to make insert faster? No: -innodboldblockspct=5: 10m59.517s. ODIRECT is also recommended: -innodbflushmethod=ODIRECT: 11m1.742s. ODIRECT is not able to improve performance by itself, but if you can use a bigger buffer pool: ODIRECT + 30% bigger buffer pool: -innodbbuffeerpoolsize=11G: 10m46.716s.Conclusions on how to restore MySQL logical backups. There is no common solution to improve logical backup restore procedure. If you have IO-bounded restore: disable InnoDB double write. It’s safe because even if the database crashes during restore, you can restart the operation.

Do not use SQL dumps for databases 5-10GB. CSV files are much faster for mysqldump+mysql. Implement mysqldump -tabs+mysqlimport or use mydumper/myloader with appropriate chunk-filesize. The number of rows per load data infile batch is important. Usually 100K-1M, use binary search (2-3 iterations) to find a good value for your dataset.

InnoDB log file size and buffer pool size are really important options for backup restore performance. ODIRECT reduces insert speed, but it’s good if you can increase the buffer pool size. If you have enough RAM or SSD, the restore procedure is limited by CPU.

Use a faster CPU (higher frequency, turboboost). Hyperthreading also counts. A powerful server could be slower than your laptop (12×2.4GHz vs. 4×2.8+turboboost). Even with modern hardware, it’s hard to expect backup restore faster than 50MBps (for the final size of InnoDB database).

You can find a lot of different advice on how to improve backup load speed. Nickolay joined Percona in December 2010, after working for several years at what is now the most popular cinema site in Russia. During the time he was there, Nickolay and a small team of developers were responsible for scaling the site into one which now serves over a million unique visitors per day. Prior to that, he worked for several other companies, including NetUp, which provides ISP billing and IPTV solutions, and eHouse, the oldest Russian e-commerce company. Nickolay has a great deal of experience in both systems administration and programming. His experience includes extensive hands-on work with a broad range of technologies, including SQL, MySQL, PHP, C, C, Python, Java, XML, OS parameter tuning (Linux, Solaris), caching techniques (e.g., memcached), RAID, file systems, SMTP, POP3, Apache, networking and network data formats, and many others. He is an expert in scalability, performance, and system reliability.

Point of note, just for anyone who is interested, actually importing the IMDB dump into a working, indexed etc. DB, is a bit of a ball ache. You have been warned.

It does make for a fascinating tool though and great for testing theories or answering friend's strange questions. And yeah, you don't want to be creating a sight off it, not just due to the licensing issues, but because it has an insane amount of short films you just don't really need.

It is over 1 million items, where I think 70% are shorts.I would recommend just working iterating through the IDs via the API, rather than getting a dump from someone. I am guessing if you need it now, you will most likely needed an updated one later. The best way to do that, is do it yourself.

Also, it allows you to range the data in a way that is most useful to yourself. How one person represents the data may well be different to how you want it.If I did have one request, it would be to know what the field sizes were for various things. Thanks @david.tzoor for asking this question due to the fact that I was looking for a dataset for my college work as well. Using the API to iterate over all movie IDs is pretty unconvenient, but still a passable way to get the data. Also worked with the IMDb dataset and I can confirm that it's a hell of work to get the data into a normalized database. The format of the database is just a mess.

I was hoping to get a 'nice' dumb here, at a less 'ancient' platform, unfortunately I was proofed wrong:). I think getting the data is pretty straight forward, one question here was, what is the latest id.This gets your latest movie idAt the time of typing: 432788With regards to the requests of a data dump, the biggest problem is the empty values.When I ran through I found the following (latest id when i ran it was 432,420) but I was using a fairly rudimentary test and it is possible some were missed.VALID::303,923EMPTY::118,148ADULT::10,349TOTAL::432,420I could provide a list of corresponding ids, but it would need to remember that movies could still be deleted, I could have missed something. Generally speaking I am just stating that I can't be responsible for the accuracy going forward (or even now):). Getting a data dump of anything is rare.IMDB has to do it I believe, due to it's origins. That said, they try and make it as difficult as possible to do anything with.TMDB doesn't offer it.

Imdb Database Download

Sql Database Dump

Neither should it have to. That said, they don't actively prevent people from crawling the API. Offering a dump just gives them more headaches and eats lots of bandwidth as people download it, thinking it will be handy and then never use it.I will say one thing, you know the data pretty well by the time you are done getting it.I have made over 1000 data changes on this site because of it.So it is there if you want it, you just have to get it ahead of time, as it takes a while to get.If you are desperate for a dump (No pun intended) then OMDBAPI offer one if you are willing to pay for it. Only has the same data you can already get from the API, but it comes in a CSV for or some such.Ultimately, the way I have my data set up and indexed is probably very different to how mateinone has his or how the TMDB is originally set up. I know I have a lot more validation on mine, which is what often results in me fixing data on here.I think what is offered here is a fair compromise.Just comes down to how much you want it. Certainly keeps the headaches down f an already busy workforce.

Adi hits two big points for me:Offering a dump just gives them more headaches and eats lots of bandwidth as people download it, thinking it will be handy and then never use it.Ultimately, the way I have my data set up and indexed is probably very different to how mateinone has his or how the TMDB is originally set up.That second point in particular is going to be the biggest one for sure. I've struggled at times over the years to keep up with our growth and feature demands so the DB is very likely to not be setup in a way that a lot of people would find very useful. Keep in mind, this all started as a website to share zip files of images way back in the day. Things are just a little bit different now days 😉Now, I do have plans to offer a downloadable file of invalid ids, that is something I can do to help some people out and have plans for it.