I am having trouble passing a datetime.time variable into a SQLite database, I have some very basic code here to show what exactly the variable is.
import datetime as dt
time = dt.datetime.now().time()
time = time.strftime('%H:%M')
time = dt.datetime.strptime(time, '%H:%M').time()
print(time)
print(type(time))
time = dt.datetime.now().time() gets the current time in type datetime.time.
Output:
17:34:48.286215
<class 'datetime.time'>
time = time.strftime('%H:%M') is then retrieving just the hour and minute but is of type str
Output:
17:35
<class 'str'>
I then convert it back to a datetime.time with time = dt.datetime.strptime(time, '%H:%M').time() which gives the the output:
17:32:00
<class 'datetime.time'>
The column of type Time accepts the format of HH:SS as shown in the documentation (SQLite3 DateTime Documentation), so I am not sure why I am getting this error:
sqlite3.InterfaceError: Error binding parameter 11 - probably unsupported type.
From this INSERT statement:
cursor.execute("INSERT INTO booked_tickets VALUES (?,?,?,?,?,?,?,?,?,?,?,?)", (booking_ref, ticket_date, film, showing, ticket_type, num_tickets, cus_name, cus_phone, cus_email, ticket_price, booking_date, booking_time, ))
EDIT: As requested, here is a snippet of code to recreate the table with the broken columns:
import datetime as dt
import sqlite3
connection = sqlite3.connect("your_database.db")
cursor = connection.cursor()
# Get the current time
time = dt.datetime.now().time()
# Format the time as a string using the '%H:%M' format
time_str = time.strftime('%H:%M')
# Parse the string back to a time object using the '%H:%M' format
time = dt.datetime.strptime(time_str, '%H:%M').time()
# Create the table
cursor.execute("CREATE TABLE test (example_time Time)")
# Insert the time into the example_time column
cursor.execute("INSERT INTO test VALUES (?)", (time, ))
connection.commit()
connection.close()
There is no Date or Time data type in SQLite.
The documentation from the link that you have in your question clearly states that in SQLite you can store datetime in 3 ways: text in ISO-8601 format, integer unix epochs and float julian days.
If you chose the first way then you should pass strings:
booking_date = dt.datetime.now().date().strftime('%Y-%m-%d')
booking_time = dt.datetime.now().time().strftime('%H:%M:00')
sql = "INSERT INTO booked_tickets VALUES (?,?,?,?,?,?,?,?,?,?)"
cursor.execute(sql, (booking_ref, ticket_date, film, showing, ticket_type, num_tickets, cus_name, cus_phone, cus_email, ticket_price, booking_date, booking_time))
But, you could also let SQLite get the current date and/or time.
Assuming that in the columns booking_date and booking_time you want the current date and time, you can define these columns as:
booking_date TEXT NOT NULL DEFAULT CURRENT_DATE,
booking_time TEXT NOT NULL DEFAULT CURRENT_TIME
and then you don't need to pass anything for them in the INSERT statement:
sql = "INSERT INTO booked_tickets VALUES (?,?,?,?,?,?,?,?,?,?)"
cursor.execute(sql, (booking_ref, ticket_date, film, showing, ticket_type, num_tickets, cus_name, cus_phone, cus_email, ticket_price,))
Checkout the SQLite datatypes documentation
2.2. Date and Time Datatype
SQLite does not have a storage class set aside for storing dates
and/or times. Instead, the built-in Date And Time Functions of SQLite
are capable of storing dates and times as TEXT, REAL, or INTEGER
values:
TEXT as ISO8601 strings ("YYYY-MM-DD HH:MM:SS.SSS").
REAL as Julian day numbers, the number of days since noon in Greenwich on November 24, 4714 B.C. according to the proleptic
Gregorian calendar.
INTEGER as Unix Time, the number of seconds since 1970-01-01 00:00:00 UTC.
Applications can choose to store dates and times in any of these
formats and freely convert between formats using the built-in date and
time functions.
Store the dates as TEXT datatypes.
The documentation you refer to mostly discusses how to format column values that representing dates and times. That is, it discusses what you can do with dates and times that already exist in your database.
It does, however, give just enough information to help you here I think. It says:
Date and time values can be stored as
text in a subset of the ISO-8601 format,
numbers representing the Julian day, or
numbers representing the number of seconds since (or before) 1970-01-01 00:00:00 UTC (the unix timestamp).
So you want to define and supply your dates and times as either full ISO-8601 date strings or as numbers. When defining a table, you indicate which of these formats you wish to use by defining a column type as a STRING, REAL or INTEGER respectively.
Here's some documentation that discusses how to store dates and times in one of these formats: https://www.sqlitetutorial.net/sqlite-date/
I'm a python dev, I'm handling an SQL database through sqlite3 and I need to perform a certain SQL query to delete data.
I have tables which contain datetime objects as keys.
I want to keep only one row per hour (the last record for that specific time) and delete the rest.
I also need this to only happen on data older than 1 week.
Here's my attempt:
import sqlite3
c= db.cursor()
c.execute('''DELETE FROM TICKER_AAPL WHERE time < 2022-07-11 AND time NOT IN
( SELECT * FROM
(SELECT min(time) FROM TICKER_AAPL GROUP BY hour(time)) AS temp_tab);''')
Here's a screenshot of the table itself:
First change the format of your dates from yyyyMMdd ... to yyyy-MM-dd ..., because this is the only valid text date format for SQLite.
Then use the function strftime() in your query to get the hour of each value in the column time:
DELETE FROM TICKER_AAPL
WHERE time < date(CURRENT_DATE, '-7 day')
AND time NOT IN (SELECT MAX(time) FROM TICKER_AAPL GROUP BY strftime('%Y-%m-%d %H', time));
i have a column(scheduledStartDateTime) in database which is of type datetime and i have to search previous row of data based on user entered datetime .
my query is like this:
order = self.trips_session.query(Order).filter(
and_(
Order.driverSystemId == driver_system_id,
func.date(Order.scheduledStartDateTime) < func.date(start_date)
)).order_by(
DispatchOrder.scheduledStartDateTime.desc()).first()
my search date is 2020-01-13 07:16:06 i,e order number 5673 so ideally i am looking for order number 5677 but i am getting is 5679 . how can i compare dates based on hours minutes and seconds as well.
So you want to convert a datetime however func.date() casts the datetime to date, therefore you are missing hour/minute/seconds. You just need to perform the comparison as normal, without casting your datetimes:
order = self.trips_session.query(Order).filter(
and_(
Order.driverSystemId == driver_system_id,
Order.scheduledStartDateTime < start_date
)).order_by(
DispatchOrder.scheduledStartDateTime.desc()).first()
Alternatively, if one of the datetime's provided is not in datetime format, you can use func.datetime() to cast it/them without losing the time information.
I have a input parameter dictionary as below -
InparamDict = {'DataInputDate':'2014-10-25'
}
Using the field InparamDict['DataInputDate'], I want to pull up data from 2013-10-01 till 2013-10-25. What would be the best way to arrive at the same using Pandas?
The sql equivalent is -
DATEFROMPARTS(DATEPART(year,GETDATE())-1,DATEPART(month,GETDATE()),'01')
You forgot to mention if you're trying to pull up data from a DataFrame, Series or what. If you just want to get the date parts, you just have to get the attribute you want from the Timestamp object.
from pandas import Timestamp
dt = Timestamp(InparamDict['DataInputDate'])
dt.year, dt.month, dt.day
If the dates are in a DataFrame (df) and you convert them to dates instead of strings. You can select the data by ranges as well, for instance
df[df['DataInputDate'] > datetime(2013,10,1)]
We have a backend table that stores details of transaction including seconds since epoch. I am creating a UI where I collect from-to dates to display counts of transaction occurred in-between the dates.
Assuming that the date range is from 07/01/2012 - 07/30/2012, I am unable to establish a logic that will increment a counter for records that happened within the time period. I should hit the DB only once as hitting for each day will give poor performance.
I am stuck at a logic:
Convert 07/01/2012 & 07/30/2012 to seconds since epoch.
Get the records for start date - end date [as converted to seconds since epoch]
For each record get the month / date
-- now how will we add counters for each date in between 07/01/2012 - 07/30/2012
MySQL has the function FROM_UNIXTIME which will convert your seconds since epoch into datetime and you can then extract the DATE part of it (YYYY-MM-DD format) and group according to it.
SELECT DATE(FROM_UNIXTIME(timestamp_column)), COUNT(*)
FROM table_name
GROUP BY DATE(FROM_UNIXTIME(timestamp_column))
This will return something like
2012-07-01 2
2012-07-03 4
…
(no entries for days without transactions)