Coding-Details Loading。。。

本文详细解释了在Python中尝试导入Redis模块时遇到的常见错误:ImportError: No module named 'redis'。文章提供了错误发生的原因,即Python默认不包含Redis支持,并指导读者如何通过访问GitHub上的redis-py项目来正确安装Redis库。

2018年8月8日13:11:09

1.python 中import redis后报错 ImportError: No module named redis

    Python默认是不支持Redis的,当引用redis时就会报错,这里需要为Python安装Redis库,

    登陆https://github.com/andymccurdy/redis-py

[root@node ~]# mysql -u root -p Enter password: Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 8 Server version: 8.0.42 MySQL Community Server - GPL Copyright (c) 2000, 2025, Oracle and/or its affiliates. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> CREATE DATABASE weblog_db; ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'CREATE DATABASE weblog_db' at line 1 mysql> CREATE DATABASE weblog_db; ERROR 1007 (HY000): Can't create database 'weblog_db'; database exists mysql> USE weblog_db; Reading table information for completion of table and column names You can turn off this feature to get a quicker startup with -A Database changed mysql> DROP DATABASE IF EXISTS weblog_db; Query OK, 2 rows affected (0.02 sec) mysql> CREATE DATABASE weblog_db; Query OK, 1 row affected (0.01 sec) mysql> USE weblog_db; Database changed mysql> CREATE TABLE page_visits ( -> page VARCHAR(255) , -> visits BIGINT -> ); ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'TABLE page_visits ( page VARCHAR(255) , visits BIGINT )' at line 1 mysql> CREATE TABLE page_visits ( -> page VARCHAR(255), -> visits BIGINT -> ); Query OK, 0 rows affected (0.02 sec) mysql> SHOW TABLES; +---------------------+ | Tables_in_weblog_db | +---------------------+ | page_visits | +---------------------+ 1 row in set (0.00 sec) mysql> ^C mysql> q -> quit -> exit -> ^C mysql> ^C mysql> ^C mysql> ^DBye [root@node ~]# hive SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. Hive Session ID = 7bb79582-cc2b-49b6-abc7-020dcdc46542 Logging initialized using configuration in jar:file:/home/hive-3.1.3/lib/hive-common-3.1.3.jar!/hive-log4j2.properties Async: true Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. Hive Session ID = 15d9da52-e18e-40b2-a80f-e76eda81df4c hive> DESCRIBE FORMATTED page_visits; OK # col_name data_type comment page string visits bigint # Detailed Table Information Database: default OwnerType: USER Owner: root CreateTime: Tue Jul 08 01:43:42 CST 2025 LastAccessTime: UNKNOWN Retention: 0 Location: hdfs://node:9000/hive/warehouse/page_visits Table Type: MANAGED_TABLE Table Parameters: COLUMN_STATS_ACCURATE {\"BASIC_STATS\":\"true\"} bucketing_version 2 numFiles 1 numRows 4 rawDataSize 56 totalSize 60 transient_lastDdlTime 1751910222 # Storage Information SerDe Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe InputFormat: org.apache.hadoop.mapred.TextInputFormat OutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Compressed: No Num Buckets: -1 Bucket Columns: [] Sort Columns: [] Storage Desc Params: serialization.format 1 Time taken: 0.785 seconds, Fetched: 32 row(s) hive> [root@node ~]# [root@node ~]# sqoop export \ > --connect jdbc:mysql://localhost/weblog_db \ > --username root \ > --password Aa@123456 \ > --table page_visits \ > --export-dir hdfs://node:9000/hive/warehouse/page_visits \ > --input-fields-terminated-by '\001' \ > --num-mappers 1 Warning: /home/sqoop-1.4.7/../hcatalog does not exist! HCatalog jobs will fail. Please set $HCAT_HOME to the root of your HCatalog installation. Warning: /home/sqoop-1.4.7/../accumulo does not exist! Accumulo imports will fail. Please set $ACCUMULO_HOME to the root of your Accumulo installation. 2025-07-08 15:28:12,550 INFO sqoop.Sqoop: Running Sqoop version: 1.4.7 2025-07-08 15:28:12,587 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead. 2025-07-08 15:28:12,704 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset. 2025-07-08 15:28:12,708 INFO tool.CodeGenTool: Beginning code generation Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary. 2025-07-08 15:28:13,225 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `page_visits` AS t LIMIT 1 2025-07-08 15:28:13,266 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `page_visits` AS t LIMIT 1 2025-07-08 15:28:13,280 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /home/hadoop/hadoop3.3 Note: /tmp/sqoop-root/compile/363869e21c2078b9742685122c43a3cc/page_visits.java uses or overrides a deprecated API. Note: Recompile with -Xlint:deprecation for details. 2025-07-08 15:28:16,377 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/363869e21c2078b9742685122c43a3cc/page_visits.jar 2025-07-08 15:28:16,391 INFO mapreduce.ExportJobBase: Beginning export of page_visits 2025-07-08 15:28:16,391 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address 2025-07-08 15:28:16,484 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar 2025-07-08 15:28:17,339 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative 2025-07-08 15:28:17,342 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative 2025-07-08 15:28:17,343 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps 2025-07-08 15:28:17,555 INFO client.DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at node/192.168.196.122:8032 2025-07-08 15:28:17,782 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/root/.staging/job_1751959003014_0001 2025-07-08 15:28:26,026 INFO input.FileInputFormat: Total input files to process : 1 2025-07-08 15:28:26,029 INFO input.FileInputFormat: Total input files to process : 1 2025-07-08 15:28:26,495 INFO mapreduce.JobSubmitter: number of splits:1 2025-07-08 15:28:26,528 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative 2025-07-08 15:28:26,619 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1751959003014_0001 2025-07-08 15:28:26,620 INFO mapreduce.JobSubmitter: Executing with tokens: [] 2025-07-08 15:28:26,805 INFO conf.Configuration: resource-types.xml not found 2025-07-08 15:28:26,805 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'. 2025-07-08 15:28:27,226 INFO impl.YarnClientImpl: Submitted application application_1751959003014_0001 2025-07-08 15:28:27,264 INFO mapreduce.Job: The url to track the job: http://node:8088/proxy/application_1751959003014_0001/ 2025-07-08 15:28:27,264 INFO mapreduce.Job: Running job: job_1751959003014_0001 2025-07-08 15:28:34,334 INFO mapreduce.Job: Job job_1751959003014_0001 running in uber mode : false 2025-07-08 15:28:34,335 INFO mapreduce.Job: map 0% reduce 0% 2025-07-08 15:28:38,374 INFO mapreduce.Job: map 100% reduce 0% 2025-07-08 15:28:38,381 INFO mapreduce.Job: Job job_1751959003014_0001 failed with state FAILED due to: Task failed task_1751959003014_0001_m_000000 Job failed as tasks failed. failedMaps:1 failedReduces:0 killedMaps:0 killedReduces: 0 2025-07-08 15:28:38,448 INFO mapreduce.Job: Counters: 8 Job Counters Failed map tasks=1 Launched map tasks=1 Data-local map tasks=1 Total time spent by all maps in occupied slots (ms)=2061 Total time spent by all reduces in occupied slots (ms)=0 Total time spent by all map tasks (ms)=2061 Total vcore-milliseconds taken by all map tasks=2061 Total megabyte-milliseconds taken by all map tasks=2110464 2025-07-08 15:28:38,456 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead 2025-07-08 15:28:38,457 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 21.1033 seconds (0 bytes/sec) 2025-07-08 15:28:38,462 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead 2025-07-08 15:28:38,462 INFO mapreduce.ExportJobBase: Exported 0 records. 2025-07-08 15:28:38,462 ERROR mapreduce.ExportJobBase: Export job failed! 2025-07-08 15:28:38,463 ERROR tool.ExportTool: Error during export: Export job failed! at org.apache.sqoop.mapreduce.ExportJobBase.runExport(ExportJobBase.java:445) at org.apache.sqoop.manager.SqlManager.exportTable(SqlManager.java:931) at org.apache.sqoop.tool.ExportTool.exportTable(ExportTool.java:80) at org.apache.sqoop.tool.ExportTool.run(ExportTool.java:99) at org.apache.sqoop.Sqoop.run(Sqoop.java:147) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:81) at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183) at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234) at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243) at org.apache.sqoop.Sqoop.main(Sqoop.java:252) [root@node ~]# sqoop export \ > --connect jdbc:mysql://localhost/weblog_db \ > --username root \ > --password Aa@123456 \ > --table page_visits \ > --export-dir hdfs://node:9000/hive/warehouse/page_visits \ > --input-fields-terminated-by ',' \ > --num-mappers 1 Warning: /home/sqoop-1.4.7/../hcatalog does not exist! HCatalog jobs will fail. Please set $HCAT_HOME to the root of your HCatalog installation. Warning: /home/sqoop-1.4.7/../accumulo does not exist! Accumulo imports will fail. Please set $ACCUMULO_HOME to the root of your Accumulo installation. 2025-07-08 15:30:31,174 INFO sqoop.Sqoop: Running Sqoop version: 1.4.7 2025-07-08 15:30:31,218 WARN tool.BaseSqoopTool: Setting your password on the command-line is insecure. Consider using -P instead. 2025-07-08 15:30:31,333 INFO manager.MySQLManager: Preparing to use a MySQL streaming resultset. 2025-07-08 15:30:31,336 INFO tool.CodeGenTool: Beginning code generation Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary. 2025-07-08 15:30:31,771 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `page_visits` AS t LIMIT 1 2025-07-08 15:30:31,814 INFO manager.SqlManager: Executing SQL statement: SELECT t.* FROM `page_visits` AS t LIMIT 1 2025-07-08 15:30:31,821 INFO orm.CompilationManager: HADOOP_MAPRED_HOME is /home/hadoop/hadoop3.3 Note: /tmp/sqoop-root/compile/ab00e36d1f5084a0f7d522b4e9a975e5/page_visits.java uses or overrides a deprecated API. Note: Recompile with -Xlint:deprecation for details. 2025-07-08 15:30:33,116 INFO orm.CompilationManager: Writing jar file: /tmp/sqoop-root/compile/ab00e36d1f5084a0f7d522b4e9a975e5/page_visits.jar 2025-07-08 15:30:33,129 INFO mapreduce.ExportJobBase: Beginning export of page_visits 2025-07-08 15:30:33,129 INFO Configuration.deprecation: mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address 2025-07-08 15:30:33,212 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar 2025-07-08 15:30:33,877 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative 2025-07-08 15:30:33,880 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative 2025-07-08 15:30:33,880 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps 2025-07-08 15:30:34,097 INFO client.DefaultNoHARMFailoverProxyProvider: Connecting to ResourceManager at node/192.168.196.122:8032 2025-07-08 15:30:34,310 INFO mapreduce.JobResourceUploader: Disabling Erasure Coding for path: /tmp/hadoop-yarn/staging/root/.staging/job_1751959003014_0002 2025-07-08 15:30:39,127 INFO input.FileInputFormat: Total input files to process : 1 2025-07-08 15:30:39,131 INFO input.FileInputFormat: Total input files to process : 1 2025-07-08 15:30:39,995 INFO mapreduce.JobSubmitter: number of splits:1 2025-07-08 15:30:40,022 INFO Configuration.deprecation: mapred.map.tasks.speculative.execution is deprecated. Instead, use mapreduce.map.speculative 2025-07-08 15:30:40,532 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1751959003014_0002 2025-07-08 15:30:40,532 INFO mapreduce.JobSubmitter: Executing with tokens: [] 2025-07-08 15:30:40,689 INFO conf.Configuration: resource-types.xml not found 2025-07-08 15:30:40,689 INFO resource.ResourceUtils: Unable to find 'resource-types.xml'. 2025-07-08 15:30:40,746 INFO impl.YarnClientImpl: Submitted application application_1751959003014_0002 2025-07-08 15:30:40,783 INFO mapreduce.Job: The url to track the job: http://node:8088/proxy/application_1751959003014_0002/ 2025-07-08 15:30:40,784 INFO mapreduce.Job: Running job: job_1751959003014_0002 2025-07-08 15:30:46,847 INFO mapreduce.Job: Job job_1751959003014_0002 running in uber mode : false 2025-07-08 15:30:46,848 INFO mapreduce.Job: map 0% reduce 0% 2025-07-08 15:30:50,893 INFO mapreduce.Job: map 100% reduce 0% 2025-07-08 15:30:51,905 INFO mapreduce.Job: Job job_1751959003014_0002 failed with state FAILED due to: Task failed task_1751959003014_0002_m_000000 Job failed as tasks failed. failedMaps:1 failedReduces:0 killedMaps:0 killedReduces: 0 2025-07-08 15:30:51,973 INFO mapreduce.Job: Counters: 8 Job Counters Failed map tasks=1 Launched map tasks=1 Data-local map tasks=1 Total time spent by all maps in occupied slots (ms)=2058 Total time spent by all reduces in occupied slots (ms)=0 Total time spent by all map tasks (ms)=2058 Total vcore-milliseconds taken by all map tasks=2058 Total megabyte-milliseconds taken by all map tasks=2107392 2025-07-08 15:30:51,979 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead 2025-07-08 15:30:51,980 INFO mapreduce.ExportJobBase: Transferred 0 bytes in 18.0828 seconds (0 bytes/sec) 2025-07-08 15:30:51,983 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead 2025-07-08 15:30:51,983 INFO mapreduce.ExportJobBase: Exported 0 records. 2025-07-08 15:30:51,983 ERROR mapreduce.ExportJobBase: Export job failed! 2025-07-08 15:30:51,984 ERROR tool.ExportTool: Error during export: Export job failed! at org.apache.sqoop.mapreduce.ExportJobBase.runExport(ExportJobBase.java:445) at org.apache.sqoop.manager.SqlManager.exportTable(SqlManager.java:931) at org.apache.sqoop.tool.ExportTool.exportTable(ExportTool.java:80) at org.apache.sqoop.tool.ExportTool.run(ExportTool.java:99) at org.apache.sqoop.Sqoop.run(Sqoop.java:147) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:81) at org.apache.sqoop.Sqoop.runSqoop(Sqoop.java:183) at org.apache.sqoop.Sqoop.runTool(Sqoop.java:234) at org.apache.sqoop.Sqoop.runTool(Sqoop.java:243) at org.apache.sqoop.Sqoop.main(Sqoop.java:252) [root@node ~]# 6.2 Sqoop导出数据 6.2.1从Hive将数据导出到MySQL 6.2.2sqoop导出格式 6.2.3导出page_visits表 6.2.4导出到ip_visits表 6.3验证导出数据 6.3.1登录MySQL 6.3.2执行查询
07-09
标题SpringBoot智能在线预约挂号系统研究AI更换标题第1章引言介绍智能在线预约挂号系统的研究背景、意义、国内外研究现状及论文创新点。1.1研究背景与意义阐述智能在线预约挂号系统对提升医疗服务效率的重要性。1.2国内外研究现状分析国内外智能在线预约挂号系统的研究与应用情况。1.3研究方法及创新点概述本文采用的技术路线、研究方法及主要创新点。第2章相关理论总结智能在线预约挂号系统相关理论,包括系统架构、开发技术等。2.1系统架构设计理论介绍系统架构设计的基本原则和常用方法。2.2SpringBoot开发框架理论阐述SpringBoot框架的特点、优势及其在系统开发中的应用。2.3数据库设计与管理理论介绍数据库设计原则、数据模型及数据库管理系统。2.4网络安全与数据保护理论讨论网络安全威胁、数据保护技术及其在系统中的应用。第3章SpringBoot智能在线预约挂号系统设计详细介绍系统的设计方案,包括功能模块划分、数据库设计等。3.1系统功能模块设计划分系统功能模块,如用户管理、挂号管理、医生排班等。3.2数据库设计与实现设计数据库表结构,确定字段类型、主键及外键关系。3.3用户界面设计设计用户友好的界面,提升用户体验。3.4系统安全设计阐述系统安全策略,包括用户认证、数据加密等。第4章系统实现与测试介绍系统的实现过程,包括编码、测试及优化等。4.1系统编码实现采用SpringBoot框架进行系统编码实现。4.2系统测试方法介绍系统测试的方法、步骤及测试用例设计。4.3系统性能测试与分析对系统进行性能测试,分析测试结果并提出优化建议。4.4系统优化与改进根据测试结果对系统进行优化和改进,提升系统性能。第5章研究结果呈现系统实现后的效果,包括功能实现、性能提升等。5.1系统功能实现效果展示系统各功能模块的实现效果,如挂号成功界面等。5.2系统性能提升效果对比优化前后的系统性能
在金融行业中,对信用风险的判断是核心环节之一,其结果对机构的信贷政策和风险控制策略有直接影响。本文将围绕如何借助机器学习方法,尤其是Sklearn工具包,建立用于判断信用状况的预测系统。文中将涵盖逻辑回归、支持向量机等常见方法,并通过实际操作流程进行说明。 一、机器学习基本概念 机器学习属于人工智能的子领域,其基本理念是通过数据自动学习规律,而非依赖人工设定规则。在信贷分析中,该技术可用于挖掘历史数据中的潜在规律,进而对未来的信用表现进行预测。 二、Sklearn工具包概述 Sklearn(Scikit-learn)是Python语言中广泛使用的机器学习模块,提供多种数据处理和建模功能。它简化了数据清洗、特征提取、模型构建、验证与优化等流程,是数据科学项目中的常用工具。 三、逻辑回归模型 逻辑回归是一种常用于分类任务的线性模型,特别适用于二类问题。在信用评估中,该模型可用于判断借款人是否可能违约。其通过逻辑函数将输出映射为0到1之间的概率值,从而表示违约的可能性。 四、支持向量机模型 支持向量机是一种用于监督学习的算法,适用于数据维度高、样本量小的情况。在信用分析中,该方法能够通过寻找最佳分割面,区分违约与非违约客户。通过选用不同核函数,可应对复杂的非线性关系,提升预测精度。 五、数据预处理步骤 在建模前,需对原始数据进行清理与转换,包括处理缺失值、识别异常点、标准化数值、筛选有效特征等。对于信用评分,常见的输入变量包括收入水平、负债比例、信用历史记录、职业稳定性等。预处理有助于减少噪声干扰,增强模型的适应性。 六、模型构建与验证 借助Sklearn,可以将数据集划分为训练集和测试集,并通过交叉验证调整参数以提升模型性能。常用评估指标包括准确率、召回率、F1值以及AUC-ROC曲线。在处理不平衡数据时,更应关注模型的召回率与特异性。 七、集成学习方法 为提升模型预测能力,可采用集成策略,如结合多个模型的预测结果。这有助于降低单一模型的偏差与方差,增强整体预测的稳定性与准确性。 综上,基于机器学习的信用评估系统可通过Sklearn中的多种算法,结合合理的数据处理与模型优化,实现对借款人信用状况的精准判断。在实际应用中,需持续调整模型以适应市场变化,保障预测结果的长期有效性。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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