![]() The data from the CSV made it into the table: SELECT * FROM blog_feed LIMIT 10 OFFSET 1000 If you inspect the table, you will see that This operation should run relatively quickly: within a matter of seconds you To only load the author and content columns from the CSV. We pass in options to let theĬOPY command know that we have passed in a CSV file that contains a header, and What does the above command do? The rows from the data.csv file are piped into aĬonnection which then invokes the COPY command. Substitute feeds with the name of the database you created the blog_feed table The code below will read in the CSVįile and put it into the blog_feed table within a database named feeds: cat data.csv | psql -h localhost -p 5432 feeds -c "COPY blog_feed (author, content) FROM STDIN WITH (FORMAT CSV, HEADER TRUE) " Now the fun part: ingesting the CSV file. Generating the CSV can take a few minutes depending on how fast your system is. Save this file as generator_csv.py and generate the data by running: python generator_csv.py You can change how many rows are generated by adjusting the MAX_RANGE variable. 'content': ntence(nb_words=16, variable_nb_words=True), Writer = csv.DictWriter(csvfile, fieldnames=field_names) The code below will generate 1,000,000 author/content pairs and output them in a In order to generate the data, we will use theįaker library, which you can install with pip or In order to demonstrate loading a CSV with COPY, it would help to have data in aĬSV to load! Fortunately, this can be solved with a simple Python script to Id int GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY with id serial PRIMARY KEY. Note 2: If you are not using PostgreSQL 10 or later, you can substitute the JSONB stores JSON data in a binary format which enables Ingested_at timestamp DEFAULT CURRENT_TIMESTAMP,įor the JSON data: CREATE TABLE news_feed ( Id int GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, Ingesting data from a CSV and another for the JSON data.įor the CSV data: CREATE TABLE blog_feed ( We will be creating two different tables, one that will store the results from Let’sĮxplore a few ways to use COPY to load some data into a table. You have a lot of it to ingest, and will generally outperform INSERT. The late 1990s and was designed to quickly get data in and out of PostgreSQL.ĬOPY is also incredibly helpful for ingesting data into a table, especially if If you have been asked to provide a CSV that someone can open up in theirįavorite spreadsheet editor, chances are you have used the PostgreSQLĬOPY has been around since the early open source releases of PostgreSQL back in
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