Source: pgloader Section: database Priority: extra Maintainer: Dimitri Fontaine Build-Depends: debhelper (>= 8.0.0), sbcl (>= 1.1.13), ruby-ronn, buildapp (>= 1.5), cl-asdf (>= 3.0.3), cl-log, cl-postmodern, cl-qmynd, cl-split-sequence, cl-csv, cl-fad, cl-lparallel, cl-esrap, cl-alexandria, cl-drakma, cl-zip, cl-flexi-streams, cl-usocket, cl-local-time, cl-command-line-arguments, cl-abnf, cl-db3, cl-py-configparser, cl-sqlite, cl-trivial-backtrace, cl-markdown, cl-md5, cl-asdf-finalizers, cl-asdf-system-connections, cl-cffi (>= 1:0.12.0), gawk Standards-Version: 3.9.3 Homepage: https://github.com/dimitri/pgloader Vcs-Git: https://github.com/dimitri/pgloader.git Vcs-Browser: https://github.com/dimitri/pgloader Package: pgloader Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Description: extract, transform and load data into PostgreSQL pgloader imports data from different kind of sources and COPY it into PostgreSQL. . The command language is described in the manual page and allows to describe where to find the data source, its format, and to describe data processing and transformation. . Supported source formats include CSV, fixed width flat files, dBase3 files (DBF), and SQLite and MySQL databases. In most of those formats, pgloader is able to auto-discover the schema and create the tables and the indexes in PostgreSQL. In the MySQL case it's possible to edit CASTing rules from the pgloader command directly. Package: cl-pgloader Architecture: all Depends: ${shlibs:Depends}, cl-asdf (>= 3.0.3), cl-log, cl-postmodern, cl-qmynd, cl-split-sequence, cl-csv, cl-fad, cl-lparallel, cl-esrap, cl-alexandria, cl-drakma, cl-zip, cl-flexi-streams, cl-usocket, cl-local-time, cl-command-line-arguments, cl-abnf, cl-db3, cl-py-configparser, cl-sqlite, cl-trivial-backtrace, cl-markdown, cl-md5, cl-asdf-finalizers, cl-asdf-system-connections, cl-cffi (>= 1:0.12.0) Description: extract, transform and load data into PostgreSQL pgloader imports data from different kind of sources and COPY it into PostgreSQL. . The command language is described in the manual page and allows to describe where to find the data source, its format, and to describe data processing and transformation. . Supported source formats include CSV, fixed width flat files, dBase3 files (DBF), and SQLite and MySQL databases. In most of those formats, pgloader is able to auto-discover the schema and create the tables and the indexes in PostgreSQL. In the MySQL case it's possible to edit CASTing rules from the pgloader command directly.