SimpleSQLite
Summary
SimpleSQLite is a python library to simplify the table creation and data insertion in SQLite database.
Feature
- Automatic table creation from data
- Support various data types of record(s) insertion into a table:
- dictionary
- namedtuple
- list
- tuple
- Create table(s) from:
- CSV file/text
- JSON file/text
- Microsoft Excel TM file
- Google Sheets
Examples
Create a table
Create a table from data matrix
import json
from simplesqlite import SimpleSQLite
import six
table_name = "sample_table"
con = SimpleSQLite("sample.sqlite", "w")
# create table -----
data_matrix = [
[1, 1.1, "aaa", 1, 1],
[2, 2.2, "bbb", 2.2, 2.2],
[3, 3.3, "ccc", 3, "ccc"],
]
con.create_table_with_data(
table_name,
attribute_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
data_matrix=data_matrix)
# display values in the table -----
six.print_(con.get_attribute_name_list(table_name))
result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
six.print_(record)
# display data type for each column in the table -----
six.print_(json.dumps(con.get_attr_type(table_name), indent=4))['attr_a', 'attr_b', 'attr_c', 'attr_d', 'attr_e']
(1, 1.1, u'aaa', 1.0, u'1')
(2, 2.2, u'bbb', 2.2, u'2.2')
(3, 3.3, u'ccc', 3.0, u'ccc')
{
"attr_b": " REAL",
"attr_c": " TEXT",
"attr_a": " INTEGER",
"attr_d": " REAL",
"attr_e": " TEXT"
}
Insert records into a table
Insert dictionary
from simplesqlite import SimpleSQLite
import six
table_name = "sample_table"
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_with_data(
table_name,
attribute_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
data_matrix=[[1, 1.1, "aaa", 1, 1]])
con.insert(
table_name,
insert_record={
"attr_a": 4,
"attr_b": 4.4,
"attr_c": "ddd",
"attr_d": 4.44,
"attr_e": "hoge",
}
)
con.insert_many(
table_name,
insert_record_list=[
{
"attr_a": 5,
"attr_b": 5.5,
"attr_c": "eee",
"attr_d": 5.55,
"attr_e": "foo",
},
{
"attr_a": 6,
"attr_c": "fff",
},
]
)
result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
six.print_(record)(1, 1.1, u'aaa', 1, 1) (4, 4.4, u'ddd', 4.44, u'hoge') (5, 5.5, u'eee', 5.55, u'foo') (6, u'NULL', u'fff', u'NULL', u'NULL')
Insert list/tuple/namedtuple
from collections import namedtuple
from simplesqlite import SimpleSQLite
import six
table_name = "sample_table"
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_with_data(
table_name,
attribute_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
data_matrix=[[1, 1.1, "aaa", 1, 1]])
SampleTuple = namedtuple(
"SampleTuple", "attr_a attr_b attr_c attr_d attr_e")
con.insert(table_name, insert_record=[7, 7.7, "fff", 7.77, "bar"])
con.insert_many(
table_name,
insert_record_list=[
(8, 8.8, "ggg", 8.88, "foobar"),
SampleTuple(9, 9.9, "ggg", 9.99, "hogehoge"),
]
)
result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
six.print_(record)(1, 1.1, u'aaa', 1, 1) (7, 7.7, u'fff', 7.77, u'bar') (8, 8.8, u'ggg', 8.88, u'foobar') (9, 9.9, u'ggg', 9.99, u'hogehoge')
For more information
More examples are available at http://simplesqlite.readthedocs.org/en/latest/pages/examples/index.html
Installation
pip install SimpleSQLite
Dependencies
Python 2.7 or 3.3+
- DataPropery (Used to extract data types)
- jsonschema
- pathvalidate
- path.py
- six
- xlrd
Test dependencies
Documentation
http://simplesqlite.readthedocs.org/en/latest/
Related project
- sqlitebiter: CLI tool to create a SQLite database from CSV/JSON/Excel/Google-Sheets by using SimpleSQLite
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