Download Imdb Database Dump
Ted Brathwaite
It was an ambitious multi-week project to gather all the data, merge roughly three disparate datasets together without common keys within a 5.4GB SQLite database, and finally generate the list. The oldest movie in the list is from 1925! But, yeah, if you are looking for IMDB's data, they basically make it available without scraping their website.
Legal issues aside, web server operators can also block those who make excessive requests to their servers. IMDB has official data dumps of their database. It's not perfect since some information is missing but it is a good enough starting point for most purposes. Since IMDB makes data dumps available for direct download and is more efficient than scraping, IMDB has every right to block anyone scraping their main website.
In troubleshooting various problems related to the Cisco CallManager (ccm) process it might be necessary to dump information from memory. Some of this information might be dumped from ccm In Memory Database (IMDB) or directly from the ccm process.
In order to dump any diagnostic information to the Cisco CallManager traces, the Dialing Forest Dump Service parameter must be enabled. This parameter is set to False by default to prevent malicious users from attempting to overwhelm the system and cause a Code Yellow or system hang.
At this stage, the required data is ready to be dumped to the CCM trace file. Be careful not to do several dumps simultaneously or in rapid concurrent fashion, as this may cause system instability. The process is the same for all CUCM version:
After creating a database on SQL Server, I went to import the first dataset (via flat file import). Everything seemed to look good when previewing the rows. When I went to finish I got a whole series of errors, which were all generic.
I was able to do this with Access VBA. Excel VBA should be similar. No plugins are needed, only built-in VBA libraries and functions. The technique I used was web-scraping. Downloading the entire IMDb database like the other user did won't work because (1) IMDb data keep changing, and (2) IMDb DB is huge (gigabytes), so it is better to just get the info you need.
Many database systems provide sample databases with the product. A good intro to popular ones that includes discussion of samples available for other databases is Sample Databases for PostgreSQL and More (2006).
Unzip the database from the provided database dump by running the following commands on your shell. Note that the database file be 836MB after you decompress it.
$ gunzip imdb-cmudb2022.db.gz$ sqlite3 imdb-cmudb2022.db
Check the contents of the database by running the .tables command on the sqlite3 terminal. You should see 6 tables, and the output should look like this:
$ sqlite3 imdb-cmudb2022.dbSQLite version 3.31.1Enter ".help" for usage hints.sqlite> .tablesakas crew episodes people ratings titles
Each submission will be graded based on whether the SQL queries fetch the expected sets of tuples from the database. Note that your SQL queries will be auto-graded by comparing their outputs (i.e. tuple sets) to the correct outputs. For your queries, the order of the output columns is important; their names are not.
Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports the feature Transportable Databases, a high-speed data import and export method supported on versions 11.5 and later and 10.10 and later. If you need to import a PostgreSQL database from one RDS PostgreSQL instance into another, you can use native tools such as pg_dump and pg_restore or load data into target tables using the \copy command. With transportable databases, you can move data much faster than these traditional tools. This feature uses a new extension called pg_transport, which provides a per-database physical transport mechanism. Physical transport can move data much faster with minimum downtime by streaming the database files with minimal processing.
a.) Load the imdb database with data from the IMDB dataset (approximately 14 GB). There are many sample datasets available in the open-source community for PostgreSQL database. For more information, see Sample Databases in the PostgreSQL wiki.
b.) Load the benchdb database using the pgbench This post uses the scale factor of 10000 to initialize the pgbench database (approximately 130 GB). Enter the following command to load the data into benchdb:
For this post, transferring the 14-GB imdb database took less than 60 seconds.
To understand the performance of pg_transport, this post tested importing the same imdb database using the pg_dump and pg_restore method. See the following command:
It took approximately 8 minutes, as opposed to pg_transport, which took less than a minute.
While the database transport is underway, you can run read-only queries only. For example, if you attempt to update the table in imdb database title_rating, you get the following error:
For large-size databases (approximately 200 GB), you can modify the parameters related to pg_transport. For example, you can increase pg_transport.num_workers to 8 and max_worker_processes to three times plus nine the number of pg_transport.num_workers, visit Transporting PostgreSQL databases between DB instances for more information. num_workers.pg_transport process consumes memory resources at the instance level, which may impact other running databases on both the source and target. Therefore, plan and test your configuration in a development environment before applying changes in the production environment.
After transporting the database, set up appropriate roles and permissions at the target as per your database access requirements. Additionally, you can enable extensions as needed by your application.
This post provided use cases of RDS PostgreSQL transportable databases feature and highlighted important considerations when configuring the pg_transport extension, as well as performance advantages over the traditional dump and load method. We encourage you to try out this feature in your environment. As always, AWS welcomes feedback, so please leave comments or questions below.
So as @lonstar, likely in order to save on costs, imdb now requires that users foot the bill for downloading by using a S3 Pay Account. However, there is a mirror site that is still operational hosted by Freie Universitat Berlin, -berlin.de/pub/misc/movies/database/temporaryaccess/ .
In Running MySQL in Kubernetes, Percona co-founder and Chief Technology Officer Vadim Tkachenko shows us how Kubernetes handles databases and provides an overview of what it takes to run MySQL deployments that are highly available with backup and recovery options.
In this blog post, I show you how to load this data into a PostgreSql database. The steps are executed from an Ubuntu Linux workstation. I assume that you already have a postgresql database with about 50Gb of free space to upload this data into and you know the connection information.
Login to your postgresql database and create a new schema to hold the imdb tables (This step is optional. If you do not create this schema, then the tables and the corresponding data gets loaded into the public schema).
Before you run the script, lets edit the script and make one change, which will enable the script to load the data into the newly created imdb schema. This change will be made in line 183 in the file.
This wikiHow teaches you how to export any of your IMDb lists as a Comma-Separated Value (CSV) file. CSV files can be imported into other websites (such as Letterboxd), applications (such as Excel), and databases. In addition to your custom lists, you can also export your ratings list and watchlist.
The pin_db_alert.pl utility. Use this utility to monitor key performance indicators (KPIs), which are metrics you use to quantify the health of your database and to alert you to potential risks. See "Using the pin_db_alert Utility to Monitor Key Performance Indicators".
KPIs are metrics you use to quantify the health of your database and to alert you when potential issues exist. They identify database tables that must be archived or purged and indexes, triggers, and stored procedures that are missing or invalid.
KPIs are monitored when you run the pin_db_alert.pl utility. Generally you set up a cron job to run the utility periodically to monitor the health of your database. For more information, see "Running the pin_db_alert.pl Utility".
In the DB_USER and DB_PASSWD entries, specify the database user ID and encrypted password that are listed in the sm_id and sm_pw entries in the Data Manager (DM) pin.conf file. For more information, see "Enabling Database Access".
RDA collects diagnostic and configuration data for all BRM and Pipeline Manager components and applications only from the server on which RDA is running. To collect data for BRM or Pipeline Manager components and databases on other servers, install and run RDA on the other servers.
To dump BRM business parameters (/config/business_params objects) in XML format, use the pin_cfg_bpdump utility. See "pin_cfg_bpdump" in BRM Developer's Guide. For more information about business parameters, see "Using /config/business_params Objects" in BRM Developer's Guide and "business_params Reference".
To diagnose performance problems with the DM process, you can configure the DM to log the time it takes to process each opcode. You can use this information to determine the time the DM spends on its internal operations and the time it spends on the database operations.
You can collect statistics about opcode performance from IMDB Cache DM. IMDB Cache DM prints the opcode stack with details about the total time spent at Oracle IMDB Cache and at the BRM database. This data can be used to compare opcode performance and for debugging purposes. For example, if the database operation is taking more time, check the database statistics to ensure the database is running optimally.
DBA_2PC_PENDING is a static data dictionary view in the BRM database. To enable the IMDB Cache DM and Oracle DM processes to access this view, your system administrator must grant read privileges to the BRM database user.
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