


How to Resolve Parameter Substitution Issues in SQLite When Using Sequences vs. Strings?
Troubleshooting Parameter Substitution Issues in SQLite
Encountering issues when utilizing parameter substitution in SQLite3 with Python? Here's an in-depth investigation and a resolution.
In an attempt to prevent SQL injections, parameter substitution using '?' is advisable. However, an error may arise when utilizing this approach. For instance, with the following code:
<code class="python">for item in self.inventory_names: self.cursor.execute("SELECT weight FROM Equipment WHERE name = ?", item) self.cursor.close()</code>
The error "sqlite3.ProgrammingError: Incorrect number of bindings supplied" occurs, indicating that the statement specifies one binding, whereas eight are provided. This issue stems from the initial creation of the database table. The module responsible for database creation contains eight bindings, which leads to the mismatch.
<code class="python">cursor.execute("""CREATE TABLE Equipment (id INTEGER PRIMARY KEY, name TEXT, price INTEGER, weight REAL, info TEXT, ammo_cap INTEGER, availability_west TEXT, availability_east TEXT)""")</code>
Ironically, substituting '?' with a less secure '%s' resolves the problem:
<code class="python">for item in self.inventory_names: self.cursor.execute("SELECT weight FROM Equipment WHERE name = '%s'" % item) self.cursor.close()</code>
The reason behind this paradox lies in the way Cursor.execute() accepts its second parameter. Instead of a single string, it expects a sequence, but you are passing a string of length eight.
To rectify this issue, adjust the code to the following:
<code class="python">self.cursor.execute("SELECT weight FROM Equipment WHERE name = ?", [item])</code>
This modification ensures that the parameter substitution works as intended. Always ensure that the second parameter passed to Cursor.execute() corresponds to the specified number of bindings in the SQL statement.
The above is the detailed content of How to Resolve Parameter Substitution Issues in SQLite When Using Sequences vs. Strings?. For more information, please follow other related articles on the PHP Chinese website!

Pythonlistsareimplementedasdynamicarrays,notlinkedlists.1)Theyarestoredincontiguousmemoryblocks,whichmayrequirereallocationwhenappendingitems,impactingperformance.2)Linkedlistswouldofferefficientinsertions/deletionsbutslowerindexedaccess,leadingPytho

Pythonoffersfourmainmethodstoremoveelementsfromalist:1)remove(value)removesthefirstoccurrenceofavalue,2)pop(index)removesandreturnsanelementataspecifiedindex,3)delstatementremoveselementsbyindexorslice,and4)clear()removesallitemsfromthelist.Eachmetho

Toresolvea"Permissiondenied"errorwhenrunningascript,followthesesteps:1)Checkandadjustthescript'spermissionsusingchmod xmyscript.shtomakeitexecutable.2)Ensurethescriptislocatedinadirectorywhereyouhavewritepermissions,suchasyourhomedirectory.

ArraysarecrucialinPythonimageprocessingastheyenableefficientmanipulationandanalysisofimagedata.1)ImagesareconvertedtoNumPyarrays,withgrayscaleimagesas2Darraysandcolorimagesas3Darrays.2)Arraysallowforvectorizedoperations,enablingfastadjustmentslikebri

Arraysaresignificantlyfasterthanlistsforoperationsbenefitingfromdirectmemoryaccessandfixed-sizestructures.1)Accessingelements:Arraysprovideconstant-timeaccessduetocontiguousmemorystorage.2)Iteration:Arraysleveragecachelocalityforfasteriteration.3)Mem

Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Zend Studio 13.0.1
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Dreamweaver CS6
Visual web development tools

Atom editor mac version download
The most popular open source editor

SublimeText3 Mac version
God-level code editing software (SublimeText3)
