I've developed a huge table in excel and now facing problem in transferring it into the postgresql database. I've downloaded the odbc software and I'm able to open table created in postgresql with excel. However, I'm not able to do it in a reverse manner which is creating a table in excel and open it in the postgresql. So I would like to know it is can be done in this way or is there any alternative ways that can create a large table with pgAdmin III cause inserting the data raw by raw is quite tedious.
The typical answer is this:
In Excel, File/Save As, select CSV, save your current sheet.
transfer to a holding directory on the Pg server the postgres user can access
in PostgreSQL:
COPY mytable FROM '/path/to/csv/file' WITH CSV HEADER; -- must be superuser
But there are other ways to do this too. PostgreSQL is an amazingly programmable database. These include:
Write a module in pl/javaU, pl/perlU, or other untrusted language to access file, parse it, and manage the structure.
Use CSV and the fdw_file to access it as a pseudo-table
Use DBILink and DBD::Excel
Write your own foreign data wrapper for reading Excel files.
The possibilities are literally endless....
For python you could use openpyxl for all 2010 and newer file formats (xlsx).
Al Sweigart has a full tutorial from automate the boring parts on working with excel spreadsheets its very indepth and the whole book and accompanying Udemy course are great resources.
From his example
>>> import openpyxl
>>> wb = openpyxl.load_workbook('example.xlsx')
>>> wb.get_sheet_names()
['Sheet1', 'Sheet2', 'Sheet3']
>>> sheet = wb.get_sheet_by_name('Sheet3')
>>> sheet
<Worksheet "Sheet3">
Understandably once you have this access you can now use psycopg to parse the data to postgres as you normally would do.
This is a link to a list of python resources at python-excel also xlwings provides a large array of features for using python in place of vba in excel.
You can also use psql console to execute \copy without need to send file to Postgresql server machine. The command is the same:
\copy mytable [ ( column_list ) ] FROM '/path/to/csv/file' WITH CSV HEADER
A method that I use is to load the table into R as a data.frame, then use dbWriteTable to push it to PostgreSQL. These two steps are shown below.
Load Excel data into R
R's data.frame objects are database-like, where named columns have explicit types, such as text or numbers. There are several ways to get a spreadsheet into R, such as XLConnect. However, a really simple method is to select the range of the Excel table (including the header), copy it (i.e. CTRL+C), then in R use this command to get it from the clipboard:
d <- read.table("clipboard", header=TRUE, sep="\t", quote="\"", na.strings="", as.is=TRUE)
If you have RStudio, you can easily view the d object to make sure it is as expected.
Push it to PostgreSQL
Ensure you have RPostgreSQL installed from CRAN, then make a connection and send the data.frame to the database:
library(RPostgreSQL)
conn <- dbConnect(PostgreSQL(), dbname="mydb")
dbWriteTable(conn, "some_table_name", d)
Now some_table_name should appear in the database.
Some common clean-up steps can be done from pgAdmin or psql:
ALTER TABLE some_table_name RENAME "row.names" TO id;
ALTER TABLE some_table_name ALTER COLUMN id TYPE integer USING id::integer;
ALTER TABLE some_table_name ADD PRIMARY KEY (id);
As explained here http://www.postgresonline.com/journal/categories/journal/archives/339-OGR-foreign-data-wrapper-on-Windows-first-taste.html
With ogr_fdw module, its possible to open the excel sheet as foreign table in pgsql and query it directly like any other regular tables in pgsql.
This is useful for reading data from the same regularly updated table
To do this, the table header in your spreadsheet must be clean, the current ogr_fdw driver can't deal with wide-width character or new lines etc. with these characters, you will probably not be able to reference the column in pgsql due to encoding issue. (Major reason I can't use this wonderful extension.)
The ogr_fdw pre-build binaries for windows are located here http://winnie.postgis.net/download/windows/pg96/buildbot/extras/
change the version number in link to download corresponding builds.
extract the file to pgsql folder to overwrite the same name sub-folders.
restart pgsql. Before the test drive, the module needs to be installed by executing:
CREATE EXTENSION ogr_fdw;
Usage in brief:
use ogr_fdw_info.exe to prob the excel file for sheet name list
ogr_fdw_info -s "C:/excel.xlsx"
use "ogr_fdw_info.exe -l" to prob a individual sheet and generate a table definition code.
ogr_fdw_info -s "C:/excel.xlsx" -l "sheetname"
Execute the generated definition code in pgsql, a foreign table is created and mapped to your excel file. it can be queried like regular tables.
This is especially useful, if you have many small files with the same table structure. Just change the path and name in definition, and update the definition will be enough.
This plugin supports both XLSX and XLS file.
According to the document it also possible to write data back into the spreadsheet file, but all the fancy formatting in your excel will be lost, the file is recreated on write.
If the excel file is huge. This will not work. which is another reason I didn't use this extension. It load data in one time.
But this extension also support ODBC interface, it should be possible to use windows' ODBC excel file driver to create a ODBC source for the excel file and use ogr_fdw or any other pgsql's ODBC foreign data wrapper to query this intermediate ODBC source. This should be fairly stable.
The downside is that you can't change file location or name easily within pgsql like in the previous approach.
A friendly reminder. The permission issue applies to this fdw extensions. since its loaded into pgsql service. pgsql must have access privileged to the excel files.
It is possible using ogr2ogr:
C:\Program Files\PostgreSQL\12\bin\ogr2ogr.exe -f "PostgreSQL" PG:"host=someip user=someuser dbname=somedb password=somepw" C:/folder/excelfile.xlsx -nln newtablenameinpostgres -oo AUTODETECT_TYPE=YES
(Not sure if ogr2ogr is included in postgres installation or if I got it with postgis extension.)
I have used Excel/PowerPivot to create the postgreSQL insert statement. Seems like overkill, except when you need to do it over and over again. Once the data is in the PowerPivot window, I add successive columns with concatenate statements to 'build' the insert statement. I create a flattened pivot table with that last and final column. Copy and paste the resulting insert statement into my EXISTING postgreSQL table with pgAdmin.
Example two column table (my table has 30 columns from which I import successive contents over and over with the same Excel/PowerPivot.)
Column1 {a,b,...} Column2 {1,2,...}
In PowerPivot I add calculated columns with the following commands:
Calculated Column 1 has "insert into table_name values ('"
Calculated Column 2 has CONCATENATE([Calculated Column 1],CONCATENATE([Column1],"','"))
...until you get to the last column and you need to terminate the insert statement:
Calculated Column 3 has CONCATENATE([Calculated Column 2],CONCATENATE([Column2],"');"
Then in PowerPivot I add a flattened pivot table and have all of the insert statement that I just copy and paste to pgAgent.
Resulting insert statements:
insert into table_name values ('a','1');
insert into table_name values ('b','2');
insert into table_name values ('c','3');
NOTE: If you are familiar with the power pivot CONCATENATE statement, you know that it can only handle 2 arguments (nuts). Would be nice if it allowed more.
You can handle loading the excel file content by writing Java code using Apache POI library (https://poi.apache.org/). The library is developed for working with MS office application data including Excel.
I have recently created the application based on the technology that will help you to load Excel files to the Postgres database. The application is available under http://www.abespalov.com/. The application is tested only for Windows, but should work for Linux as well.
The application automatically creates necessary tables with the same columns as in the Excel files and populate the tables with content. You can export several files in parallel. You can skip the step to convert the files into the CSV format. The application handles the xls and xlsx formats.
Overall application stages are :
Load the excel file content. Here is the code depending on file extension:
{
fileExtension = FilenameUtils.getExtension(inputSheetFile.getName());
if (fileExtension.equalsIgnoreCase("xlsx")) {
workbook = createWorkbook(openOPCPackage(inputSheetFile));
} else {
workbook =
createWorkbook(openNPOIFSFileSystemPackage(inputSheetFile));
}
sheet = workbook.getSheetAt(0);
}
Establish Postgres JDBC connection
Create a Postgres table
Iterate over the sheet and inset rows into the table. Here is a piece of Java code :
{
Iterator<Row> rowIterator = InitInputFilesImpl.sheet.rowIterator();
//skip a header
if (rowIterator.hasNext()) {
rowIterator.next();
}
while (rowIterator.hasNext()) {
Row row = (Row) rowIterator.next();
// inserting rows
}
}
Here you can find all Java code for the application created for exporting excel to Postgres (https://github.com/palych-piter/Excel2DB).
the simplest answer is to use the psql command:
it's free and is include////
psql -U postgres -p 5432 -f sql-command-file.sql
I recently discovered https://sqlizer.io, it creates insert statements from an Excel file, supports MySQL and PostgreSQL. Not sure about if it supports large files though.
You can do that easily by DataGrip .
First save your excel file as csv formate . Open the excel file then SaveAs as csv format
Go to datagrip then create the table structure according to the csv file . Suggested create the column name as the column name as Excel column
right click on the table name from the list of table name of your database then click of the import data from file . Then select the converted csv file .
.
Related
I need to export a subset of db data tables into a single file. I tried using SSMS to export to an excel workbook. Each table would have its own worksheet. Sounds ideal !! However, many of our table names are > 31 characters in length, thus table names are being truncated by excel (which apparently has a nonconfigurable worksheet naming convention) as the worksheets are created. This won't work for us, and its far too late to change the table names. Therefore, seems excel workbook is out.
I am thinking there must be an existing tool that has a wizard that would allow us to select a handful of tables and store it in hierarchical way, in a single file, such that the table names are properly preserved in the file. Perhaps an export to json ??
Any suggestions ??
Could not find a product, or open source tool, that would properly save Azure SQL Tables whose table name length could be > 31 characters. Wrote a python script and saved tables in json format (snippet).
{
"artifacts": [{"tablename": "[dbo][Config_Entity_Metadata_Sample_Table]",
"contents": "{\"schema\"{\"fields[{\"name\":\"index\",\"type\":\"integer\"},}]
}
I know that by doing:
COPY test FROM '/path/to/csv/example.txt' DELIMITER ',' CSV;
I can import csv data to postgresql.
However, I do not have a static csv file. My csv file gets downloaded several times a day and it includes data which has previously been imported to the database. So, to get a consistent database I would have to leave out this old data.
My bestcase idea to realize this would be something like above. However, worstcase would be a java program manually checks each entry of the db with the csv file. Any recommendations for the implementation?
I really appreciate your answer!
You can dump latest data to the temp table using COPY command and MERGE temp table with the live table.
If you are using JAVA program for execute COPY command, then try CopyManager API.
I want to create update script for BLOB column in Table which stores XSL Data in ORACLE. Can anybody help me in simple way without creating any directory. Here number of character involved is also more than 4000.
I have modified in TOAD by 'Save to File' and again from 'Load to File'. Now I want to transfer it to some other database using SQL Script.
Using the Oracle IMP and EXP utilities you can export a table into a file and import it into another database. Here is some information on how to use them:
http://www.orafaq.com/wiki/Import_Export_FAQ
It is not SQL but it also doesn't involve creating directories.
Hi i am using SQL Server 2008.
How can I import an Excel file into the database, which is the easiest way and simple to do?
OpenRowSet
BulkCopy
Linked Servers
SSIS
I have the above options to Import Excel to Database.
In my opinion SSIS wizard is best way to import excel data where you get row and column wise whole view of table data which will be inserted and also specify column names and contraints and parse data using query.
UPDATE :
If the data in your excel file does not require any processing to match your database table then I recommend you save your excel file as a csv and use a combination of BULK INSERT and the BCP.exe program.
To use BULK INSERT you will need a format file which defines how your datafile matches up to your database table. You can write this by hand to match the existing database table or you can use the following command to generate the format file you need:
bcp [ServerName].[SchemaName].[TableName] format nul -c -f [FormatFileOutputName].fmt -S[ServerHostName] -U[DbUserName] -P[DbUserPassword]
Now you will have 2 files:
DatafileName.csv
FormatFileName.fmt.
Use BULK INSERT within Sql Server to insert your data.
Note: If the columns in your datafile are in a different order than your database table then you can simply edit the generated format file to have them map correctly.
I have an Excel spreadsheet with a few thousand entries in it. I want to import the table into a MySQL 4 database (that's what I'm given). I am using SQuirrel for GUI access to the database, which is being hosted remotely.
Is there a way to load the columns from the spreadsheet (which I can name according to the column names in the database table) to the database without copying the contents of a generated CSV file from that table? That is, can I run the LOAD command on a local file instructing it to load the contents into a remote database, and what are the possible performance implications of doing so?
Note, there is a auto-generated field in the table for assigning ids to new values, and I want to make sure that I don't override that id, since it is the primary key on the table (as well as other compound keys).
If you only have a few thousand entries in the spreadsheet then you shouldn't have performance problems (unless each row is very large of course).
You may have problems with some of the Excel data, e.g. currencies, best to try it and see what happens.
Re-reading your question, you will have to export the Excel into a text file which is stored locally. But there shouldn't be any problems loading a local file into a remote MySQL database. Not sure whether you can do this with Squirrel, you would need access to the MySQL command line to run the LOAD command.
The best way to do this would be to use Navicat if you have the budget to make a purchase?
I made this tool where you can paste in the contents of an Excel file and it generates the create table, and insert statements which you can then just run. (I'm assuming squirrel lets you run a SQL script?)
If you try it, let me know if it works for you.