![]() Pgloader is to use on error resume next option, where the rows Migrate in full, and when loading from a file then the default for In some cases the source data is so damaged as to be impossible to Target schema discovery When loading in an existing table, pgloader takes into account theĮxisting columns and may automatically guess the CSV format for you. Streaming of the data from its source down to PostgreSQL. It might be better to use curl -O- | pgloader and read the data from standard input, then allowing for ![]() HTTP(S) support pgloader knows how to download a source file or a source archive using Reading files from an archive Archive formats zip, tar, and gzip are supported by pgloader: theĪrchive is extracted in a temporary directly and expanded files are then More, doing some computation on the data read before sending it to Full Field projections pgloader supports loading data into less fields than found on file, or Ranges, allowing to target an ip4r column directly. Some tweaking and clean-up before being sent to PostgreSQL.Įxample we can see that integer values are being rewritten as IP address Often enough the data as read from a CSV file (or another format) needs Pgloader considers SQLite as a database source and implements schemaĭiscovery from SQLite catalogs. The SQLite database engine is accounted for in the next section: Pgloader: the CSV family, fixed columns formats, dBase files ( db3), Support for a wide variety of file based formats are included in When loading from files, pgloader implements the following features: Many source formats supported
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