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How to connect to oracle database connection pool using jdbc

How to connect to oracle database connection pool using jdbc

The steps to connect to an Oracle database connection pool using JDBC include: 1) Configure the connection pool, 2) Get the connection from the connection pool, 3) Perform SQL operations, and 4) Close the resources. Use OracleUCP to effectively manage connections and improve performance.

Jun 04, 2025 pm 10:15 PM
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How to view the CPU usage rate of oracle execution plan

How to view the CPU usage rate of oracle execution plan

In Oracle database, the CPU usage of the execution plan can be viewed through the EXPLAINPLAN statement and the DBMS_XPLAN package. The specific steps include: 1. Execute the query and generate the execution plan: EXPLAINPLANFORSELECTFROMemployeesWHEREdepartment_id=10; 2. Use the DBMS_XPLAN package to view the execution plan: SELECTFROMTABLE(DBMS_XPLAN.DISPLAY); 3. Display the detailed information in ALL format: SELECT*FROMTABLE(DBMS_XPLAN.DISPLAY(format=&gt

Jun 04, 2025 pm 10:12 PM
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How to view the newly created username

How to view the newly created username

Methods to view newly created usernames in Oracle databases include using the ALL_USERS and DBA_USERS views, the SQLPlus tool, and OracleEnterpriseManager. 1. Use the ALL_USERS view to query the new username and creation time, without special permissions. 2. Use the DBA_USERS view to obtain more detailed user information, but requires SELECTANYDICTIONARY permission. 3. SQLPlus tool facilitates execution of queries and viewing view structure. 4. Oracle EnterpriseManager provides a graphical interface to view user information. 5. Pay attention to the case sensitivity of usernames and use UPPE

Jun 04, 2025 pm 10:09 PM
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How to query your administrator password for oracle database

How to query your administrator password for oracle database

Directly querying administrator passwords is not recommended in terms of security. The security design principle of Oracle database is to avoid storing passwords in plain text. Alternative methods include: 1. Reset the SYS or SYSTEM user password using SQL*Plus; 2. Verify the encrypted password through the DBMS_CRYPTO package.

Jun 04, 2025 pm 10:06 PM
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View detailed information about tables and columns in Oracle Data Dictionary

View detailed information about tables and columns in Oracle Data Dictionary

To view the detailed information of tables and columns in the Oracle data dictionary, you can use the following steps: 1. Use the ALL_TABLES view to view the information of all tables, use SELECTtable_name,owner, createdFROMall_tablesWHEREowner='Specific Username' when querying tables for specific users; 2. Use the ALL_TAB_COLUMNS view to view the column information of tables, use SELECTcolumn_name,data_type,data_length,data_precision,data_scaleFROMal when querying column information for EMPLOYEES tables to use SELECTcolumn_name,data_type,data_length,data_precision,data_scaleFROMal when querying column information for EMPLOYEES tables to use SELECTcolumn_name,data_type,data_length,data_precision,data_scaleFROMal when querying column information for EMPLOYEES tables

Jun 04, 2025 pm 10:03 PM
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Compatibility and integration of Oracle databases with PostgreSQL databases

Compatibility and integration of Oracle databases with PostgreSQL databases

The compatibility and integration of Oracle and PostgreSQL can be achieved through the following steps: 1) Data migration: Use the ora2pg tool and manually adjust the data type mapping; 2) SQL compatibility: handle syntax differences through the intermediate layer; 3) Performance optimization: adopt a hierarchical design, use PostgreSQL to handle read-write intensive operations, and Oracle to handle complex queries; 4) Business continuity: Use a double-write strategy to ensure data consistency and business uninterrupted. Through these methods, challenges encountered in the integration process can be effectively overcome.

Jun 04, 2025 pm 10:00 PM
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Implement synchronization between Oracle database and SQLServer database

Implement synchronization between Oracle database and SQLServer database

Methods to synchronize Oracle with SQLServer include the use of ETL tools, database replication technology, third-party synchronization tools, and custom scripts. 1. ETL tools such as Informatica and Talend can be used for data extraction, conversion and loading. 2. Oracle's GoldenGate and SQLServer's ReplicationServices provide real-time or near-real-time synchronization. 3. Third-party tools such as Debezium and Attunity provide simplified configuration and powerful synchronization capabilities. 4. Custom scripts can be flexibly customized according to your needs using Python or Java.

Jun 04, 2025 pm 09:57 PM
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How to intercept the length of a string in oracle

How to intercept the length of a string in oracle

In Oracle database, the length of the intercepted string can be implemented through the SUBSTR function. 1) The basic syntax is SUBSTR(string,start_position,[length]), where start_position counts from 1. 2) Example: SELECTSUBSTR('Hello,World!',1,5) returns 'Hello'. 3) Combining the LENGTH function, the second half can be intercepted, such as SELECTSUBSTR('Hello,World!',-6) returns ',World!'. 4) When processing multilingual text, you can use REGEXP_SUBSTR to avoid character truncation.

Jun 04, 2025 pm 09:54 PM
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How to export table data from oracle database

How to export table data from oracle database

Export table data from an Oracle database can use DataPump, SQLPlus, and OracleSQLDeveloper. 1.DataPump: Use the command expdsystem/managerDIRECTORY=data_pump_dirTABLES=your_table_nameDUMPFILE=your_table_name.dmpLOGFILE=export_log.log to increase the speed through the PARALLEL parameter. 2.SQLPlus: Through the command SETPAGESIZE0FEEDBACKOFFVERIFYOFF

Jun 04, 2025 pm 09:51 PM
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How to configure monitoring for oracle database 11g stand-alone

How to configure monitoring for oracle database 11g stand-alone

The steps to configure the listener of Oracle database 11g are as follows: 1. Make sure the Oracle database is installed and run correctly; 2. Edit the listener.ora file and configure the listener address, such as (DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=localhost)(PORT=1521))); 3. Use lsnrctlstart to start the listener; 4. Use lsnrctlstatus to check the listener status; 5. Configure multiple ports or listeners for multiple instances; 6. Solve common problems, such as permissions, firewall and SID name consistency; 7. Optimize the listener configuration, such as adjusting the number of threads and sessions

Jun 04, 2025 pm 09:48 PM
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How to get the specified date in the next two days

How to get the specified date in the next two days

In Oracle database, you can use the INTERVAL keyword or ADD_MONTHS function to get the last two days of the specified date. 1. Use INTERVAL keyword: SELECTSYSDATE INTERVAL'2'DAYAS "Two days later" FROMDUAL; this method is intuitive and flexible, suitable for simply increasing the number of days. 2. Use ADD_MONTHS function: SELECTADD_MONTHS(SYSDATE,0) 2AS "Two days later" FROMDUAL; This method is suitable for situations where month boundaries need to be handled, but it is more complicated for simply increasing the number of days.

Jun 04, 2025 pm 09:45 PM
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How to query the table ending in oracle database

How to query the table ending in oracle database

Table names ending in a specific string can be queried using the ALL_TABLES view and the LIKE operator. The specific steps are: 1. Use the SQL statement SELECTtable_nameFROMall_tablesWHEREtable_nameLIKE'%Specific string'; 2. If it is case-insensitive, use the UPPER function, such as SELECTtable_nameFROMall_tablesWHEREUPPER(table_name)LIKE'%_LOG'.

Jun 04, 2025 pm 09:42 PM
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Rules for setting auto-increment primary key when creating tables in PHPMyAdmin

Rules for setting auto-increment primary key when creating tables in PHPMyAdmin

The steps to set the auto-increment primary key in PHPMyAdmin are as follows: 1. When creating a table, define the id field as INT(11)NOTNULLAUTO_INCREMENT and set to PRIMARYKEY. 2. Use the InnoDB engine to ensure the uniqueness and efficiency of data. By rationally configuring and maintaining self-added primary keys, data management can be simplified and query performance can be improved.

Jun 04, 2025 pm 09:24 PM
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Solve the problem of file size limitation when exporting data by PHPMyAdmin

Solve the problem of file size limitation when exporting data by PHPMyAdmin

The methods to solve the problem of limiting the size of PHPMyAdmin export data file include: 1. Adjust the upload_max_filesize and max_execution_time in the PHP configuration; 2. Use the mysqldump command line tool to export data. When adjusting PHP configuration, you need to modify the upload_max_filesize and max_execution_time parameters in the php.ini file, and consider memory limitations and server resources, while ensuring server security. Using mysqldump can bypass the limitations of PHPMyAdmin, but you need to ensure that there is enough disk space.

Jun 04, 2025 pm 09:21 PM
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Detailed method of PHPMyAdmin to execute stored procedures and functions

Detailed method of PHPMyAdmin to execute stored procedures and functions

In PHPMyAdmin, use CALL statements to execute stored procedures, and use SELECT statements to execute functions. 1. Execute stored procedures: CALLsp_example(); or CALLsp_example_with_param('parameter value');. 2. Execute function: SELECTfn_example('parameter value');. Pay attention to permission management, data type matching and performance optimization.

Jun 04, 2025 pm 09:12 PM
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How to add and delete indexes to tables in PHPMyAdmin

How to add and delete indexes to tables in PHPMyAdmin

The steps to add an index in PHPMyAdmin are: 1. Select the database and table, 2. Click the "Structure" tab, 3. Find the column and click the "Index" button, 4. Select the index type and name it, 5. Confirm the changes; the steps to delete the index are: 1. Select the database and table, 2. Click the "Structure" tab, 3. Find the index and click the "Delete" button, 4. Confirm the deletion; Adding an index can improve query performance, but it will increase the overhead of insertion and update operations, and deleting unnecessary indexes can improve the write operation performance.

Jun 04, 2025 pm 09:09 PM
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Quick location and handling of Redis cluster node failures

Quick location and handling of Redis cluster node failures

The quick location and processing steps for Redis cluster node failure are as follows: 1. Confirm the fault: Use the CLUSTERNODES command to view the node status. If the fail is displayed, the node will fail. 2. Determine the cause: Check the network, hardware, and configuration. Common problems include memory limits exceeding. 3. Repair and restore: Take measures based on the reasons, such as restarting the service, replacing the hardware or modifying the configuration. 4. Notes: Ensure data consistency, select appropriate failover policies, and establish monitoring and alarm systems.

Jun 04, 2025 pm 08:54 PM
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Redis master-slave replication failure troubleshooting process

Redis master-slave replication failure troubleshooting process

The steps for troubleshooting and repairing Redis master-slave replication failures include: 1. Check the network connection and use ping or telnet to test connectivity; 2. Check the Redis configuration file to ensure that the replicaof and repl-timeout are set correctly; 3. Check the Redis log file and find error information; 4. If it is a network problem, try to restart the network device or switch the alternate path; 5. If it is a configuration problem, modify the configuration file; 6. If it is a data synchronization problem, use the SLAVEOF command to resync the data.

Jun 04, 2025 pm 08:51 PM
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Configuration suggestions for improving Redis persistence performance

Configuration suggestions for improving Redis persistence performance

Methods to improve Redis persistence performance through configuration include: 1. Adjust the save parameters of RDB to reduce the snapshot generation frequency; 2. Set the appendfsync parameter of AOF to everysec; 3. Use AOF and RDB in combination; 4. Use no-appendfsync-on-rewrite parameters to optimize AOF rewrite performance; 5. Enable hybrid persistence mode. These configurations can improve performance while ensuring data security.

Jun 04, 2025 pm 08:48 PM
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Performance comparison and joint application scenarios between Redis and RabbitMQ

Performance comparison and joint application scenarios between Redis and RabbitMQ

Redis and RabbitMQ each have their own advantages in performance and joint application scenarios. 1.Redis performs excellently in data reading and writing, with a latency of up to microseconds, suitable for high concurrency scenarios. 2.RabbitMQ focuses on messaging, latency at milliseconds, and supports multi-queue and consumer models. 3. In joint applications, Redis can be used for data storage, RabbitMQ handles asynchronous tasks, and improves system response speed and reliability.

Jun 04, 2025 pm 08:45 PM
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Methods and strategies to solve the problem of split brain in Redis cluster

Methods and strategies to solve the problem of split brain in Redis cluster

Effective solutions to the problem of split brain in Redis cluster include: 1) Network configuration optimization to ensure connection stability; 2) Node monitoring and fault detection, real-time monitoring with tools; 3) Failover mechanism, setting high thresholds to avoid multiple master nodes; 4) Data consistency guarantee, using replication function to synchronize data; 5) Manual intervention and recovery, and manual processing if necessary.

Jun 04, 2025 pm 08:42 PM
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Tools and metrics to monitor the health status of Redis clusters

Tools and metrics to monitor the health status of Redis clusters

Through tools such as redis-cli, RedisInsight, Prometheus and Grafana, as well as focusing on memory usage, number of connections, cluster node status, data consistency and performance indicators, the health status of the Redis cluster can be effectively monitored.

Jun 04, 2025 pm 08:39 PM
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Data interaction and collaborative application between Redis and Elasticsearch

Data interaction and collaborative application between Redis and Elasticsearch

The combination of Redis and Elasticsearch can enable efficient interaction and collaborative application of data. 1. Redis is used to store data that needs to be updated and accessed in real time, such as shopping carts on e-commerce platforms. 2. Elasticsearch is used to store and search data that requires complex queries and analysis, such as product information. 3. Synchronize data through message queues such as Kafka to ensure the consistency of the data between the two. 4. Use Redis publish and subscription function to achieve real-time data push and synchronization.

Jun 04, 2025 pm 08:36 PM
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Methods to implement data deduplication using Redis sets (Sets)

Methods to implement data deduplication using Redis sets (Sets)

The Redis collection is selected to implement data deduplication because it supports quick insertion and search, and it automatically deduplication. 1) The Redis collection is based on an ordered collection structure without repeat elements, and is suitable for scenarios where quick insertion and query are required. 2) But you need to pay attention to its memory usage, because each element occupies memory. 3) It can be optimized for use through shard storage, regular cleaning and combined with other storage.

Jun 04, 2025 pm 08:33 PM
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Advanced application of hashing (Hash) data type in Redis

Advanced application of hashing (Hash) data type in Redis

The hash type in Redis is suitable for storing complex data structures, suitable for user information and shopping cart systems. 1) Store user information: Use hset and hget commands to manage user data. 2) Shopping cart system: Use hash to store products, and combine Set type to optimize the amount of big data. 3) Performance optimization: Avoid frequent operations and use batch commands and expiration time to manage data.

Jun 04, 2025 pm 08:30 PM
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Integration and management of Redis and Kubernetes clusters

Integration and management of Redis and Kubernetes clusters

The integration of Redis with Kubernetes clusters is achieved by deploying Redis instances, ensuring high availability and managing monitoring. 1) Use StatefulSet to deploy Redis instances to provide stable network identity and persistent storage. 2) High availability is achieved through RedisSentinel or RedisCluster. 3) Use Prometheus and Grafana for management and monitoring to ensure efficient operation of the system and timely resolution of problems.

Jun 04, 2025 pm 08:27 PM
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Things to note about Redis performance optimization in multithreaded mode

Things to note about Redis performance optimization in multithreaded mode

Optimizing Redis performance in a multi-threaded environment can be achieved through the following strategies: 1. Use connection pool management to reduce connection overhead; 2. Use command batch processing to reduce network latency; 3. Implement data sharding and share load; 4. Avoid blocking operations; 5. Use lock mechanisms to ensure data consistency; 6. Monitor and tune to improve performance.

Jun 04, 2025 pm 08:24 PM
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Introduction to common tools for monitoring Redis performance indicators

Introduction to common tools for monitoring Redis performance indicators

Common Redis performance monitoring tools include the INFO commands that come with Redis, slow query logs, RedisInsight, Prometheus and Grafana combinations, and Redis-benchmark. 1. The INFO command is suitable for quickly diagnosing problems, but the data granularity is relatively coarse. 2. Slow query logs helps optimize performance, but configuration needs to be cautious. 3.RedisInsight provides intuitive monitoring and analysis functions, but resource consumption needs to be considered. 4. The combination of Prometheus and Grafana is suitable for large-scale cluster monitoring and long-term trend analysis, and is complex in deployment. 5. Redis-benchmark is used to test performance limits and needs to be combined with actual business sites.

Jun 04, 2025 pm 08:21 PM
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Tips for using RedisHyperLogLog in big data statistics

Tips for using RedisHyperLogLog in big data statistics

Tips for using HLL when processing large data statistics include: 1. Merge multiple HLLs to count the UVs of multiple data sources; 2. Clean HLL data regularly to ensure statistical accuracy; 3. Use it in combination with other data structures for more details. HLL is a probabilistic data structure suitable for statistical scenarios where approximate values ??are required rather than exact values.

Jun 04, 2025 pm 08:18 PM
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Application of Redis Bloom Filter in Cache Penetration Protection

Application of Redis Bloom Filter in Cache Penetration Protection

Use the Bloom filter to protect cache penetration because it can quickly determine whether an element may exist, intercept non-existent requests, and protect the database. The Redis Bloom filter efficiently judges the existence of elements through low memory usage, successfully intercepts invalid requests, and reduces database pressure. Despite the misjudgment rate, such misjudgment is acceptable in cache penetration protection.

Jun 04, 2025 pm 08:15 PM
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