Sql Server Management Studio (SSMS) - right click on Database, Tasks, "Import Flat File." (No examples available, so use solutions for " Any database with any OS") MS SQL Server Specific Just switch on the use qualifier option under tools | options. The desktop version lets you use a "real" CSV parser that handles embedded delimiters/line breaks etc. Generate SQL Insert Statements with NimbleText (desktop version) drag in an Output data, point it at the database (and set the table name).(optional) drag in a Select, use it to configure the column types.drag in an Input data, point it at the csv file.Microsoft Log Parser Logparser -o sql -server 127.0.0.1 -database -createtable on "select * into newtable from C:\Apps\Logs\Logfile.log" LinqPad - CSV to IEnumerable (or Array) in Linqpad (Any spreadsheet), write formulae that combine the data together to turn the data into SQL, " ="('" A1 "','" A2." etc.`Īutomate the search/replace approach with NimbleText $ONCE (Any editor), use search/replace (perhaps with regular expressions) to turn the data into SQL Vim, "A combination of macros, regex, and standard commands that change each line to an insert statement." (via OJ) Sublime (editor), use Multiple line edit to turn the data into SQL NimbleText - Generate SQL Insert Statements with NimbleText (web version)ĭBeaver - Importing a CSV into a database using DBeaverĭatagrip: import/export - "There is a dedicated UI for importing DSV (CSV and TSV) files to the database." It'll impute the data types.gets you 80% of the way there.Ĭsvsql -db postgresql:///test -tables dogideas -insert data/pets/dogideas.csv Load in R with data.table fread() method. Table of contents:Įngine = create_engine('connection string') What tools do you are many different solutions to this common problem, for a variety of databases and operating systems. This project gladly welcome contributions for supporting more SQL dialects.Challenge: you have a csv file and you need to import it into a new table in a database. ![]() Now it’s time to play with this feature in the latest Hue or at. You can edit column names and their data type. You select a SQL dialect and Hue auto-detects the column data types. You select a file, Hue guesses the file format, identifies the delimiters, and generates a table preview. Note- Currently, Hue supports smaller CSV files containing a few thousand rows. If you are curious about how various SQL dialects have been implemented, then take a look at the sql.py file.Guess_field_types (to guess the column types). ![]() Guess_format (to guess the file format).We have used three APIs to implement this feature.This feature enables you to import files from your computer and create tables in a few clicks.Often, Business Analysts need to quickly analyze data sets that they have on their computers and skip data cleanup or other data engineering tasks. Not everyone has access to HDFS or S3/ABFS.Upload files using the Hue Importer independent of the source. ![]() Apache Hive, Apache Impala, Apache Phoenix, MySql dialects are supported. Now you can browse and select files from your computer to create tables with different SQL dialects in Hue. Until now, the file had to be available on HDFS or cloud object storage, such as S3 or ABFS. If you're a pro Hue user, then you might be familiar with the Hue Importer. If you’ve ever struggled with configuring Hue to allow your users to create new SQL tables from CSV files on their own in the public Cloud, you’ll be happy to learn that this is now much easier.
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