Mysql for excel workbench

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О том, как использовать MySQL Workbench для импорта таблиц Excel

О том, как использовать MySQL Workbench для импорта таблиц Excel

Концепция двух программных продуктов исходит от Du Niang, чтобы понять:

MySQL WorkbenchПредназначен дляMySQLРазработанный ER /база данныхИнструменты моделирования. Он является преемником известного инструмента проектирования баз данных DBDesigner4. Вы можете использовать MySQL Workbench для проектирования и создания новых диаграмм базы данных, создания документации базы данных и выполнения сложных миграций MySQL.

Microsoft Excel являетсяMicrosoftДля использованияWindowsсApple MacintoshОперационная система, написанная на компьютереЭлектронные таблицыПрограммное обеспечение является одним из самых популярных программ для обработки данных персональных компьютеров.

Есть много способов импортировать данные таблиц Excel из MySQL, вы можете сами Baidu, здесь используется MySQL Workbench, чтобы подробно описать, как импортировать данные таблиц Excel:

1. Первый шаг: преобразование данных таблицы Excel в файл формата .csv

Открыть Сохранить как

Сохранить как файл формата .csv

2. Преобразовав формат кодирования в Utf-8

3. Откройте импорт MySQL Workbench

Импорт выбранного CSV-файла

Установить тип данных и формат кодировки UTF-8

Источник

Import Excel File Into a MySQL Database

This article will teach how to import an excel file into a MySQL database using Workbench, Command-Line Prompt, and phpMyAdmin. This tutorial will take you through a step-by-step guide of the top 3 easiest ways to import excel files into the MySQL databases.

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Use the LOAD DATA Statement to Import Data

Using the LOAD DATA statement in MySQL Workbench, you must have an empty table in your MySQL database.

We have already created a table named tb_students . This table has id , firstname , lastname , gender , and city as column names.

We will convert our file type from .xlsx to .csv to import data into the MySQL database. To do this, open your excel file that has the data.

Click on File->Save As . Make sure that you have selected CSV (Comma delimited)(*.csv) and then press the SAVE .

See the following screenshot.

You now have your data in the *.csv file. We will use the command below to import data from the .csv file into the MySQL database (using Workbench).

In the above LOAD DATA statement, the data from the given file will be collected and inserted into the mentioned table. The first row will be ignored (the column names) because we already have them while creating a table in MySQL Workbench.

In this example, the .csv file’s fields are terminated by a comma. Yours may be terminated by a tab or single space.

If so, replace the line FIELDS TERMINATED BY ‘,’ with FIELDS TERMINATED BY ‘t’ or FIELDS TERMINATED BY ‘ ‘ respectively. Let’s look at the *.csv file’s data and then the MySQL data that are given below.

Data in .CSV File:

Data in MySQL Table:

You can also use the LOAD DATA statement from Command Line (CMD). We have created a new table named tb_students_cmd to practice the command line’s LOAD DATA statement.

Use the LOAD DATA statement to import data via a command-line prompt.

Let’s read the id from tb_students_cmd to confirm that the data is imported. See the following screenshot.

If you see any error about security considerations while using the LOAD DATA statement, then you may visit this website to see the possible solutions.

Method 2: Use Sqlizer.io to Import Data

This method is useful if you don’t want to convert your file type from .xlsx to .csv . Go to sqlizer.io, follow the instructions as follows (or as per your needs).

Select your excel file and MySQL database type. Tell the sqlizer.io by checking or unchecking My File has a Header Row .

Check Use CHECK IF TABLE EXISTS if you want to. If you want to use the active worksheet, check Use the active worksheet .

If not, then tell the worksheet name. We are not using it for this tutorial and prefer to tell the worksheet name, students .

Make sure to tick Convert the whole worksheet to import the whole data. Otherwise, give it the cell range.

You can write your table name (give it a unique name) in which you want the data to be imported. Then, click on the Convert My File button.

You will see the following screen. You can either download the queries or copy them to execute wherever you want.

We can see the following screenshot to confirm that the data is imported, and we can read that.

Method 3: Import Data Using phpMyAdmin

If you are using phpMyAdmin , then you can import data using the following steps (see the given screenshots).

To practice, we have created a new table named tb_students_phpmyadmin . It has five columns named id , firstname , lastname , gender , and city .

Click on the Import tab and select your *.csv file. The Format would be CSV , but you can select according to requirements.

Provide Format-specific Options and click on Go at the bottom-right corner.

You can see that all the records are being imported inserted in the table named tb_students_phpmyadmin as follows.

Let’s see whether the data is imported or not. And here it is! We have imported data.

Conclusions

Finally, we have concluded that you have to use different methods to import data into MySQL.

We saw two methods for importing data from the .csv file to MySQL. It includes the LOAD DATA statement (in workbench and command line) and using phpMyAdmin .

We used sqlizer.io to import data from excel files to MySQL, which is very easy to use also.

Mehvish Ashiq is a former Java Programmer and a Data Science enthusiast who leverages her expertise to help others to learn and grow by creating interesting, useful, and reader-friendly content in Computer Programming, Data Science, and Technology.

Источник

How to import excel file into MySQL Workbench?

I’ve googled this but all the examples are on an old excel. My current excel does not have the option of MySQL on the Data tab. i tried importing through Other Source, SQL Server but it doesn’t connect through Server name. I don’t understand why or if i’m putting in the wrong Server name. Should it be something other than localhost?

3 Answers 3

You cannot import an excel file in MySQL Workbench. That was never possible as it would require to parse the excel file. Instead export your excel file in Excel to CSV and import that in MySQL Workbench.

Importing CSV into MySQL via MySQL Workbench is easy. Open the Table Data Import Wizard from the schema tree:

It allows you to import CSV and JSON data. Select your file on the next page, set import options too (e.g. separator and quote char) and then let it run.

You can copy paste your Excel data in the result grid of Mysql Workbench.

Simply select in your Excel sheet all the rows and columns you want to insert in your database and copy them.

Copying cells containing formulas works, but pay attention to:

• disable the thousand separator for numbers;
• change the decimal separator to be a dot for numbers;
• avoid empty cells as they trigger an error that the column number does not match.

After having copied the cells, right-click in Mysql Workbench on your table and choose «Select Rows» and the results of your query will appear in a result grid.

Right-click in the result grid in the empty row at the bottom and choose «Paste Row» from the menu.

Then click on «Apply» and confirm the insert queries. If everything goes well, your data will be inserted. Otherwise MySQL errors (constraint violations, etc.) are displayed. These errors can help you debugging what went wrong and where you need to correct your Excel data.

For me this works well and I didn’t encounter any encoding issues yet.

However there are performance issues if you want to paste large datasets.

Источник

Query Excel Data in MySQL Workbench

Ready to get started?

Learn more or sign up for a free trial:

Create a virtual MySQL database for Excel data in CData Connect (or Connect Server) and work with live Excel data in MySQL Workbench.

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to Excel data as if it were a MySQL database. This article shows how to create a virtual database for Excel in Connect and work with live Excel data in MySQL Workbench.

Create a Virtual MySQL Database for Excel Data

CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect and click Databases.
2. Select «Excel» from Available Data Sources.
3. Enter the necessary authentication properties to connect to Excel.

The ExcelFile, under the Authentication section, must be set to a valid Excel File.

Click Test Database.

Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Excel from MySQL Workbench.

Query Excel from MySQL Workbench

The steps below outline connecting to the virtual Excel database in Connect from MySQL Workbench and issuing basic queries to work with live Excel data.

Connect to Excel through Connect

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData Connect).
3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
4. Click Store in Vault to set and store the password.
5. Click Test Connection to ensure the connection is configured properly and click OK.

Query Excel Data

1. Open the connection you just created (CData Connect).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve Excel data, like SELECT * FROM exceldb.Sheet;

With access to live Excel data from MySQL Workbench, you can easily query and update Excel, just like you would a MySQL database. Request a demo of the CData Connect and start working with Excel just like a MySQL database today.

CData Software is a leading provider of data access and connectivity solutions. Our standards-based connectors streamline data access and insulate customers from the complexities of integrating with on-premise or cloud databases, SaaS, APIs, NoSQL, and Big Data.

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Query Excel Data in MySQL Workbench

Ready to get started?

Download for a free trial:

The Excel ODBC Driver is a powerful tool that allows you to connect with live Excel file data, directly from any applications that support ODBC connectivity.

Access Excel Spreadsheet data like you would a database — read, write, and update data through a standard ODBC Driver interface.

Execute MySQL queries against live Excel data from MySQL Workbench.

You can use the SQL Gateway from the ODBC Driver for Excel to query Excel data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and work with live Excel data in MySQL Workbench.

Connect to Excel Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the «Getting Started» chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

The ExcelFile, under the Authentication section, must be set to a valid Excel File.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Excel data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Query Excel from MySQL Workbench

The steps below outline connecting to the virtual Excel database created in the SQL Gateway from MySQL Workbench and issuing basic queries to work with live Excel data.

Connect to Excel through the SQL Gateway

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData SQL Gateway for Excel).
3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
4. Click Store in Vault to set and store the password.
5. Click Test Connection to ensure the connection is configured properly and click OK.

Query Excel Data

1. Open the connection you just created (CData SQL Gateway for Excel).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve Excel data, like SELECT * FROM `CData Excel Sys`.Sheet;

With access to live Excel data from MySQL Workbench, you can easily query and update Excel, just like you would a MySQL database. Get started now with a free, 30-day trial of the CData ODBC Driver for Excel and the CData SQL Gateway.

CData Software is a leading provider of data access and connectivity solutions. Our standards-based connectors streamline data access and insulate customers from the complexities of integrating with on-premise or cloud databases, SaaS, APIs, NoSQL, and Big Data.

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