Not on Mac? Download TablePlus for Windows. After that, you need to refresh the current workspace to see the import results. It will pop out a notification when the import is done. You can wait a little bit while TablePlus is importing. TablePlus will automatically detect and map the columns with the corresponding data type, alter the data mapping as you need. If the table doesn’t exist, tick on Create new table. If your target table hasnt been selected. If you want to do it in plain SQL you should create a table or view first: CREATE TEMPORARY VIEW foo USING csv OPTIONS ( path test.csv, header true ) and then SELECT from it: SELECT FROM foo To use this method with SparkSession.sql remove trailing and execute each statement separately. If you import data to an existing table, select the table from the dropdown list. If your CSV file has a header, make sure the First Row is Header checkbox is enabled. s1x at 13:29 I've found out that PostgreSQL can query CSV directly with filefdw /docs/9.5/file-fdw. It tries to guess the field types (quite good). If you want to import data from CSV file to an existing table, right-click on the table and choose Import > From CSV…ģ. 2 You can use this tool ( ) to convert CSV to a CREATE TABLE (with schema). Navigate to menu File > Import > From CSV… This post shows you how to use TablePlus GUI to import data from a CSV file to a MySQL database.Ģ. You can download TablePlus for macOS directly here: Download TablePlus for Mac. New to TablePlus? It’s a modern, native client with intuitive GUI tools to create, access, query & edit multiple relational databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Amazon Redshift, MariaDB, CockroachDB, Vertica, Cassandra, Snowflake, Oracle, and Redis. Modern, native client with intuitive GUI tools to create, access, query & edit multiple relational databases: MySQL, PostgreSQL, SQLite. With TablePlus, you can easily import a CSV file to any SQL databases within a couple of clicks.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |