A DB loader for CSV files.
csv2db takes CSV files and loads them into a database.
Rather than having to go through the CSV data first and find out what columns and data types are present in the CSV files,
csv2db will read the header in each CSV file and automatically load data into the columns of the same name into the target table.
Spaces in the header column names are automatically replaced with _ characters,
for example the column station id in the CSV file will be interpreted as station_id column in the table.
This approach allows you to get data into the database first and worry about the data cleansing part later, which is usually much easier once the data is in the database rather than in the CSV files.
csv2db is capable of scanning all CSV file headers at once and generate a CREATE TABLE statement with all the column names present.
This is particularly useful if the format of the CSV files has changed over time or because you want to load different CSV file types into the same database table.
$ ./csv2db -h
usage: csv2db [-h] {generate,gen,load,lo} ...
A DB loader for CSV files.
Version: 1.3.1
(c) Gerald Venzl
positional arguments:
{generate,gen,load,lo}
generate (gen) Prints a CREATE TABLE SQL statement to create the
table and columns based on the header row of the CSV
file(s).
load (lo) Loads the data from the CSV file(s) into the database.
optional arguments:
-h, --help show this help message and exit$ ./csv2db generate -h
usage: csv2db generate [-h] [-f FILE] [-v] [--debug] [-t TABLE]
[-c COLUMN_TYPE] [-s SEPARATOR] [-q QUOTE]
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE The file to load, by default all *.csv.zip files
-v, --verbose Verbose output.
--debug Debug output.
-t TABLE, --table TABLE
The table name to use.
-c COLUMN_TYPE, --column-type COLUMN_TYPE
The column type to use for the table generation.
-s SEPARATOR, --separator SEPARATOR
The columns separator character(s).
-q QUOTE, --quote QUOTE
The quote character on which a string won't be split.$ ./csv2db load -h
usage: csv2db load [-h] [-f FILE] [-v] [--debug] [-t TABLE] [-o DBTYPE]
[-u USER] [-p PASSWORD] [-m HOST] [-n PORT] [-d DBNAME]
[-b BATCH] [-s SEPARATOR] [-q QUOTE] [-a]
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE The file to load, by default all *.csv.zip files
-v, --verbose Verbose output.
--debug Debug output.
-t TABLE, --table TABLE
The table name to use.
-o DBTYPE, --dbtype DBTYPE
The database type. Choose one of ['oracle', 'mysql',
'postgres', 'db2'].
-u USER, --user USER The database user to load data into.
-p PASSWORD, --password PASSWORD
The database schema password.
-m HOST, --host HOST The host name on which the database is running on.
-n PORT, --port PORT The port on which the database is listening. If not
passed on the default port will be used (Oracle: 1521,
MySQL: 3306, PostgreSQL: 5432, DB2: 50000).
-d DBNAME, --dbname DBNAME
The name of the database.
-b BATCH, --batch BATCH
How many rows should be loaded at once.
-s SEPARATOR, --separator SEPARATOR
The columns separator character(s).
-q QUOTE, --quote QUOTE
The quote character on which a string won't be split.
-a, --directpath Execute a direct path INSERT load operation (Oracle
only).csv2db can load plain text csv files as well as compressed csv files in .zip or .gz format without having to uncompress them first.
$ ./csv2db load -f test/resources/201811-citibike-tripdata.csv -t citibikes -u csv_data -p csv_data -d ORCLPDB1
Loading file test/resources/201811-citibike-tripdata.csv
Done
$ ./csv2db load -f test/resources/201811-citibike-tripdata.csv.gz -t citibikes -u csv_data -p csv_data -d ORCLPDB1
Loading file test/resources/201811-citibike-tripdata.csv.gz
Donecsv2db --verbose option will provide verbose output.
$ ./csv2db load -f test/resources/201811-citibike-tripdata.csv -t citibikes -u csv_data -p csv_data -d ORCLPDB1 --verbose
Finding file(s).
Establishing database connection.
Loading file test/resources/201811-citibike-tripdata.csv
10 rows loaded
Done
Closing database connection.csv2db can load multiple files at once, using either wildcard characters (e.g. data*.csv.zip) or by passing on the folder containing CSV files.
Note: String including wildcard characters have to be enclosed in ""
$ ./csv2db load -f "test/resources/2018*" -t citibikes -u csv_data -p csv_data -d ORCLPDB1 --verbose
Finding file(s).
Establishing database connection.
Loading file test/resources/201811-citibike-tripdata.csv
10 rows loaded
Done
Loading file test/resources/201811-citibike-tripdata.csv.gz
10 rows loaded
Done
Loading file test/resources/201811-citibike-tripdata.csv.zip
10 rows loaded
Done
Closing database connection.$ ./csv2db load -f test/resources -t citibikes -u csv_data -p csv_data -d ORCLPDB1 --verbose
Finding file(s).
Establishing database connection.
Loading file test/resources/201811-citibike-tripdata.csv
10 rows loaded
Done
Loading file test/resources/201811-citibike-tripdata.csv.gz
10 rows loaded
Done
Loading file test/resources/201811-citibike-tripdata.csv.zip
10 rows loaded
Done
Closing database connection.csv2db will load all values as strings. You can either load all data into a staging table with all columns being strings as well, or rely on implicit data type converion on the database side.
csv2db can generate the SQL statement for a staging table for your data using the generate command:
$ ./csv2db generate -f test/resources/201811-citibike-tripdata.csv
CREATE TABLE <TABLE NAME>
(
END_STATION_ID VARCHAR2(4000),
STOPTIME VARCHAR2(4000),
START_STATION_LATITUDE VARCHAR2(4000),
GENDER VARCHAR2(4000),
END_STATION_LATITUDE VARCHAR2(4000),
BIRTH_YEAR VARCHAR2(4000),
START_STATION_ID VARCHAR2(4000),
START_STATION_NAME VARCHAR2(4000),
STARTTIME VARCHAR2(4000),
USERTYPE VARCHAR2(4000),
END_STATION_LONGITUDE VARCHAR2(4000),
END_STATION_NAME VARCHAR2(4000),
BIKEID VARCHAR2(4000),
TRIPDURATION VARCHAR2(4000),
START_STATION_LONGITUDE VARCHAR2(4000)
);By default you will have to fill in the table name. You can also specify the table name via the -t option:
$ ./csv2db generate -f test/resources/201811-citibike-tripdata.csv -t STAGING
CREATE TABLE STAGING
(
END_STATION_LATITUDE VARCHAR2(4000),
GENDER VARCHAR2(4000),
START_STATION_LATITUDE VARCHAR2(4000),
END_STATION_NAME VARCHAR2(4000),
BIRTH_YEAR VARCHAR2(4000),
START_STATION_NAME VARCHAR2(4000),
STOPTIME VARCHAR2(4000),
END_STATION_ID VARCHAR2(4000),
STARTTIME VARCHAR2(4000),
START_STATION_LONGITUDE VARCHAR2(4000),
START_STATION_ID VARCHAR2(4000),
BIKEID VARCHAR2(4000),
USERTYPE VARCHAR2(4000),
TRIPDURATION VARCHAR2(4000),
END_STATION_LONGITUDE VARCHAR2(4000)
);csv2db will use VARCHAR2(4000) as default data type for all columns for the staging table. If you wish to use a different data type, you can specify it via the -c option:
$ ./csv2db generate -f test/resources/201811-citibike-tripdata.csv -t STAGING -c CLOB
CREATE TABLE STAGING
(
START_STATION_ID CLOB,
END_STATION_ID CLOB,
START_STATION_NAME CLOB,
STARTTIME CLOB,
START_STATION_LONGITUDE CLOB,
END_STATION_LONGITUDE CLOB,
GENDER CLOB,
BIKEID CLOB,
USERTYPE CLOB,
TRIPDURATION CLOB,
START_STATION_LATITUDE CLOB,
BIRTH_YEAR CLOB,
END_STATION_NAME CLOB,
STOPTIME CLOB,
END_STATION_LATITUDE CLOB
);The idea is to have a staging table that data can be loaded into first and then figure out the correct data types for each column.
You can install csv2db either by cloning this Git repository
$ git clone https://github.com/csv2db/csv2dbor by downloading one of the releases
$ LOCATION=$(curl -s https://api.github.com/repos/csv2db/csv2db/releases/latest | grep "tag_name" | awk '{print "https://github.com/csv2db/csv2db/archive/" substr($2, 2, length($2)-3) ".zip"}') ; curl -L -o csv2db.zip $LOCATION
$ unzip csv2db.zip
$ cd csv2db*In order for csv2db to work you will have to install the appropriate database driver(s).
The following drivers are being used, all available on pypi.org:
- Oracle: cx_Oracle version 7.0.0+
- MySQL: mysql-connector-python version 8.0.13+
- PostgreSQL: psycopg2-binary version 2.7.6.1+
- DB2: ibm_db version 2.0.9+
You can install any of these drivers via pip:
$ pip install cx_Oracle
$ pip install mysql-connector-python
$ pip install psycopg2-binary
$ pip install ibm_dbNOTE: You only have to install the driver for the database(s) that you want to load data into.
Copyright 2019 Gerald Venzl
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.