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Sqlite regex full#
Sqlite regex windows#

SQLite command-line interface (CLI, aka 'sqlite3. Installation and UsageĮxamples below use the stats extension you can specify any other supported extension.

Sqlite regex windows#

If you are using SQLite shell on Windows ( sqlite.exe), its 64-bit version is available at. sqlean-macos-arm64.zip - for Apple silicon (ARM-based) macOSīinaries are 64-bit and require a 64-bit SQLite version.sqlean-macos-x86.zip - for Intel-based macOS.There are precompiled binaries for every OS: Vote for your favorites! We'll refactor and merge popular ones into the main set. Whereas its predecessor supported only matches, this supports searches, matches, and formatted replacements, as implemented by the Boost project regex module. It's based on another module that used PCRE.

Sqlite regex full#

zorder: map multidimensional data to a single dimension sqlite3-extras adds to SQLite's builtin LIKE and GLOB expressions by adding full featured regular expression support.

unionvtab: union similar tables into one.

uint: natural string sorting and comparison.

stats2 and stats3: additional math statistics functions.

spellfix: search a large vocabulary for close matches.

pearson: Pearson correlation coefficient between two data sets.

isodate: additional date and time functions.

decimal, fcmp and ieee754: decimal and floating-point arithmetic.

cron: match dates against cron patterns.compress and sqlar: compress / uncompress data.closure: navigate hierarchic tables with parent/child relationships.classifier: binary classifier via logistic regression.cbrt and math2: additional math functions and bit arithmetics.btreeinfo, memstat, recsize and stmt: various database introspection features.bloom: a fast way to tell if a value is already in a table.besttype: convert string value to numeric.Think of them as candidates for the standard library: They may be untested, poorly documented, too broad, too narrow, or without a well-thought API. These extensions haven't yet made their way to the main set. fuzzy: fuzzy string matching and phonetics.define: user-defined functions and dynamic sql.Think of them as the extended standard library for SQLite: They are tested, documented and organized into the domain modules with clear API. To achieve it, we split extensions that are too broad, merge the ones that are too narrow, refactor, add missing features, test, document, and do a ton of other small things. The goal is to create a well-thought set of domain modules with a convenient API. FROM tablename AS b WHERE EXISTS (SELECT FROM words AS w WHERE b.name LIKE CONCAT ('',wb.word,'')) ypercube at 12:03 Add a comment 2 Answers Sorted by: 3 I think this is what you are after, no need for Regex. We do not try to gather all the existing extensions into one giant pile - that would not be very useful. sqlean brings them together, neatly packaged into domain modules, documented, tested, and built for Linux, Windows and macOS. There are a lot of SQLite extensions out there, but they are incomplete, inconsistent and scattered across the internet. SQLite authors see this as a feature rather than a problem, because SQLite has an extension mechanism in place. It's very small.SQLite has few functions compared to other database management systems. It includes a QMake project file, but you can also compile it by hand. vavg_aggregate(V): Take the arithmetic mean of many vectors.vsum_aggregate(V): Aggregate many vectors into one using (+).cossim(V, V): Compute the cosine similarity of two vectors.dot(V, V): Compute the dot product of two vectors.vprod(V): Compute the product of the elements of a vector.vsum(V): Compute the sum of the elements of a vector.Vector operations (operate only on vectors).Binary Operators on any combination of vector and scalars.

vshow(text): Format a vector as a human readable string compatible with vread().

vread(text): Read space-separated floating point values from text into a vector.

vone(length): Create a 1-vector of a specific length.

vzero(length): Create a 0-vector of a specific length.

See the Boost Regex reference above for more information.

\2: Replaced with the second captured group.

\1: Replaced with the first captured group.

sub(regular expression, format string, subject): Replace any matches of the regular expression with the format string, with may contain backticks of the form:.

search(regular expression, subject): Search through the subject to see if there is a match for the regular expression anywhere within the text.

match(regular expression, subject): Match the regular expression against the subject, only at the beginning.

Sqlite > SELECT vshow(sin(vread( '3 7 6 1.2 ')))