


What should I do if I encounter Chinese garbled characters when importing data into Oracle?
It is a common problem that Oracle encounters Chinese garbled characters when importing data, mainly because the character set of the database is inconsistent with the character set of the data file. To solve this problem, you need to ensure that the database character set and the data file character set are consistent, and perform correct transcoding operations. The following will be combined with specific code examples to introduce how to deal with the problem of Chinese garbled characters when importing data into the Oracle database.
-
Check the database character set
First you need to confirm the character set of the database. In Oracle, you can query the character set of the database through the following SQL statement:SELECT value FROM nls_database_parameters WHERE parameter = 'NLS_CHARACTERSET';
Copy after loginEnsure the database The character set is UTF8 or AL32UTF8 that supports Chinese.
- Check the character set of the data file
The character set of the data file is usually saved in the file header. You can use a text editor to open the data file to view the character set information to ensure the character set of the data file. Consistent with the database character set. Set the character set when importing data
When importing data using Oracle's SQL*Loader or an external table, you can set the character set parameters to ensure that the data can be transcoded correctly. The following is a sample code to set the character set to UTF8 when importing data:LOAD DATA INFILE 'datafile.csv' APPEND INTO TABLE employee FIELDS TERMINATED BY ',' ( employee_id CHAR(10) "TRIM(:employee_id)", employee_name CHAR(50) "TRIM(:employee_name)" ) CHARACTERSET UTF8
Copy after loginTranscoding operation
If the character set of the data file is inconsistent with the database character set, you can use Oracle Built-in transcoding functions perform data conversion. An example is as follows:UPDATE employee SET employee_name = CONVERT(employee_name,'UTF8','GB18030') WHERE condition;
Copy after login
Through the above steps, you should be able to solve the problem of Chinese garbled characters when Oracle imports data. In actual operation, please choose the most suitable method to deal with Chinese garbled characters according to the specific situation.
The above is the detailed content of What should I do if I encounter Chinese garbled characters when importing data into Oracle?. For more information, please follow other related articles on the PHP Chinese website!

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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics

The retention period of Oracle database logs depends on the log type and configuration, including: Redo logs: determined by the maximum size configured with the "LOG_ARCHIVE_DEST" parameter. Archived redo logs: Determined by the maximum size configured by the "DB_RECOVERY_FILE_DEST_SIZE" parameter. Online redo logs: not archived, lost when the database is restarted, and the retention period is consistent with the instance running time. Audit log: Configured by the "AUDIT_TRAIL" parameter, retained for 30 days by default.

The Oracle database startup sequence is: 1. Check the preconditions; 2. Start the listener; 3. Start the database instance; 4. Wait for the database to open; 5. Connect to the database; 6. Verify the database status; 7. Enable the service (if necessary ); 8. Test the connection.

To find the number of occurrences of a character in Oracle, perform the following steps: Get the total length of a string; Get the length of the substring in which a character occurs; Count the number of occurrences of a character by subtracting the substring length from the total length.

Oracle database server hardware configuration requirements: Processor: multi-core, with a main frequency of at least 2.5 GHz. For large databases, 32 cores or more are recommended. Memory: At least 8GB for small databases, 16-64GB for medium sizes, up to 512GB or more for large databases or heavy workloads. Storage: SSD or NVMe disks, RAID arrays for redundancy and performance. Network: High-speed network (10GbE or higher), dedicated network card, low-latency network. Others: Stable power supply, redundant components, compatible operating system and software, heat dissipation and cooling system.

The amount of memory required by Oracle depends on database size, activity level, and required performance level: for storing data buffers, index buffers, executing SQL statements, and managing the data dictionary cache. The exact amount is affected by database size, activity level, and required performance level. Best practices include setting the appropriate SGA size, sizing SGA components, using AMM, and monitoring memory usage.

To create a scheduled task in Oracle that executes once a day, you need to perform the following three steps: Create a job. Add a subjob to the job and set its schedule expression to "INTERVAL 1 DAY". Enable the job.

The amount of memory required for an Oracle database depends on the database size, workload type, and number of concurrent users. General recommendations: Small databases: 16-32 GB, Medium databases: 32-64 GB, Large databases: 64 GB or more. Other factors to consider include database version, memory optimization options, virtualization, and best practices (monitor memory usage, adjust allocations).

70B model, 1000 tokens can be generated in seconds, which translates into nearly 4000 characters! The researchers fine-tuned Llama3 and introduced an acceleration algorithm. Compared with the native version, the speed is 13 times faster! Not only is it fast, its performance on code rewriting tasks even surpasses GPT-4o. This achievement comes from anysphere, the team behind the popular AI programming artifact Cursor, and OpenAI also participated in the investment. You must know that on Groq, a well-known fast inference acceleration framework, the inference speed of 70BLlama3 is only more than 300 tokens per second. With the speed of Cursor, it can be said that it achieves near-instant complete code file editing. Some people call it a good guy, if you put Curs
