![]() This includes both custom solutions and updated cloud platform solutions. Other answers explain how the sqlite engine can register an alternative "file system" that can work with database files in various cloud storage scenarios. Sqlite_uri = "file:/".format(self.bucket, self.key) # This odd format is used due to SQLite requirements But doesn't sound like an issue in this specific case. I should note this isn't optimized at all, so will likely still require reading full databases from S3 depending on your queries. In order to use this, you would first register the VFS and then create a new SQLite connection with this implementation as the driver. This is what I did in my project and I've included the implementation below. Using a Python SQLite wrapper called APSW, you can write a VFS implementation for arbitrary filesystems. SQLite has a concept of an OS Interface or VFS. In order to do that, I wrote a read-only SQLite interface for S3. However, as part of a fun side project I wrote an Amazon Athena data source connector that allows you to query SQLite databases in S3 from Athena. This manual page was originally written by Andreas Rottmann, for the Debian GNU/Linux system (but may be used by others).As other answers indicate, you probably don't want to use SQLite as a primary database in the cloud. O All other command line options are processed. O If the -init option is present, the specified file is processed. can be found in the user's home directory, it is read and processed. > "o If the file ~/.sqliterc exists, it is processed first. O The default configuration is established as follows:Ĭontinue prompt = ". The sequence of initialization is as follows: Throughout initialization, any previously specified Sqlite3 reads an initialization file to set the configuration of the interactive environment. nullvalue string Set string used to represent NULL values. separator separator Set output field separator. Query results will be displayed with the separator (|, by default) character between each field value. Designed to be easily parsed by scripts or other programs Query results will be displayed with one value per line, rows separated by a blank line. Query results will be output as simple HTML tables. column Query results will be displayed in a table like form, using whitespace characters to separate the columns and align the output. ![]() init file Read and execute commands from file, which can contain a mix of SQL statements and meta-commands. timeout MS Try opening locked tables for MS milliseconds tables ?PATTERN? List names of tables matching a LIKE pattern show Show the current values for various settings separator STRING Change separator used by output mode and. schema ?TABLE? Show the CREATE statements prompt MAIN CONTINUE Replace the standard prompts nullvalue STRING Print STRING in place of NULL values mode MODE ?TABLE? Set output mode where MODE is one of:Ĭolumn Left-aligned columns. indices TABLE Show names of all indices on TABLE import FILE TABLE Import data from FILE into TABLE header(s) ON|OFF Turn display of headers on or off explain ON|OFF Turn output mode suitable for EXPLAIN on or off. databases List names and files of attached databases Meta-commands are always prefixed with a dot (.).Ī list of available meta-commands can be viewed at any time by issuing the '.help' command. Perform administrative operations upon the attached databases (such as rebuilding indices). SQLITE META-COMMANDS The interactive interpreter offers a set of meta-commands that can be used to control the output format, examine the currently attached database files, or $ sqlite3 -line mydata.db 'select * from memos where priority > 20 ' Multiple statements should be separated by semi-colons. Optionally, a SQL statement or set of SQL statements can be supplied as a single argument. This is useful for migrating data between databases, possibly changing the schema along the way. Multiple databases within the same interactive session. If no database name is supplied, the ATTACH sql command can be used to attach to existing or create new database files. Sqlite> insert into memos values('lunch with Christine', 100) Sqlite> insert into memos values('deliver project description', 10) Sqlite> create table memos(text, priority INTEGER) ![]() If the database file does exist, it will be opened.įor example, to create a new database file named "mydata.db", create a table named "memos" and insert a couple of records into that table: If the database fileĭoes not exist, it will be created. To start a sqlite3 interactive session, invoke the sqlite3 command and optionally provide the name of a database file.
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