{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":15533,"offset":15523,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"The configuration item `yarn.app.mapreduce.am.job.node-blacklisting.enable` is related to Apache Hadoop, specifically within the context of running MapReduce jobs. Apache Hadoop is an open-source framework that permits the distributed processing of large data sets across clusters of computers. MapReduce is a core component of Hadoop that processes large data sets by breaking the workload into a set of independent tasks.\n\n### Overview\n- **Key**: `yarn.app.mapreduce.am.job.node-blacklisting.enable`\n- **Value**: Generally, the value can be set to `true` or `false`.\n- **Purpose**: This configuration determines whether node blacklisting is enabled for MapReduce jobs running under the YARN ResourceManager.\n\n### Details\n\nWhen this setting is enabled (`true`), the Application Master (AM) for a MapReduce job will keep track of nodes that are causing task failures. If a node causes enough task failures (based on thresholds set by other configurations), it will be added to a blacklist. Tasks from that job will not be scheduled on blacklisted nodes. This aims to improve job reliability and performance by avoiding nodes that are experiencing hardware failures, misconfigurations, or other problems causing repeated task failures.\n\n**Key Considerations Include:**\n\n- **Failure Thresholds**: There are other related configurations that control how many failures a node must cause before it is blacklisted and what proportion of the total node pool must fail before the AM stops blacklisting additional nodes. These thresholds help to manage and balance the decision of when a node is considered harmful enough to warrant exclusion from task scheduling.\n  \n- **Job Specific**: It's important to note that this blacklisting is specific to each MapReduce job's Application Master. One job's blacklist does not impact other jobs. This fine-grained approach allows for more tailored execution environments based on each job's experience without broadly penalizing nodes across all tasks running in the cluster.\n\n- **Dynamic Nature**: Node blacklisting under this setting is dynamic. If a node's condition improves and it stops causing task failures, it can be removed from the blacklist for future tasks.\n\n### Practical Use\n\nDeciding whether to enable or disable this feature should consider the specific needs and characteristics of your Hadoop cluster and the workloads it runs. Enabling node blacklisting can be beneficial in environments where node performance is variable, and avoiding problematic nodes can lead to significant improvements in job execution time and reliability. In more stable environments, or when diagnostic efforts are focused on identifying failing nodes for correction, it might be left disabled.\n\nFor performance-sensitive or time-critical MapReduce jobs, carefully tuning this and related configurations can lead to noticeable improvements in throughput and reliability by effectively sidestepping problematic hardware or configurations issues that lead to repeated task failures.","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":3059,"n_turns_in_conversation":9,"n_words":433,"source_row_offset":15523,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"92297fd08d93821c765acd1f","turn_index":1,"user_text":"yarn.app.mapreduce.am.job.node-blacklisting.enable"},{"assistant_initiates":false,"asst_text":"`yarn.app.mapreduce.am.job.node-blacklisting.enable` \u8fd9\u4e2a\u914d\u7f6e\u9879\u662f\u5728\u4f7f\u7528 Apache Hadoop \u8fd0\u884c MapReduce \u4f5c\u4e1a\u65f6\u53ef\u4ee5\u8bbe\u7f6e\u7684\u53c2\u6570\uff0c\u5b83\u5c5e\u4e8e YARN (Yet Another Resource Negotiator) \u7684\u914d\u7f6e\u8303\u7574\u3002Apache Hadoop \u662f\u4e00\u4e2a\u5f00\u6e90\u6846\u67b6\uff0c\u5141\u8bb8\u5728\u8ba1\u7b97\u673a\u96c6\u7fa4\u4e0a\u5206\u5e03\u5f0f\u5904\u7406\u5927\u6570\u636e\u96c6\u3002YARN \u5219\u662f Hadoop \u7684\u4e00\u4e2a\u6838\u5fc3\u7ec4\u4ef6\uff0c\u63d0\u4f9b\u4e86\u8d44\u6e90\u7ba1\u7406\u548c\u4f5c\u4e1a\u8c03\u5ea6\u7684\u529f\u80fd\u3002\n\n### \u4e3b\u8981\u4f5c\u7528\n- **\u952e\uff08Key\uff09**: `yarn.app.mapreduce.am.job.node-blacklisting.enable`\n- **\u503c\uff08Value\uff09**: \u901a\u5e38\u53ef\u4ee5\u88ab\u8bbe\u7f6e\u4e3a `true` \u6216 `false`\u3002\n- **\u76ee\u7684**: \u6b64\u914d\u7f6e\u51b3\u5b9a\u4e86\u662f\u5426\u4e3a\u8fd0\u884c\u5728 YARN \u4e0a\u7684 MapReduce \u4f5c\u4e1a\u542f\u7528\u8282\u70b9\u9ed1\u540d\u5355\u529f\u80fd\u3002\n\n### \u8be6\u7ec6\u8bf4\u660e\n\n\u5f53\u6b64\u8bbe\u7f6e\u88ab\u542f\u7528\uff08\u8bbe\u7f6e\u4e3a `true`\uff09\uff0cMapReduce \u4f5c\u4e1a\u7684\u5e94\u7528\u4e3b\u7ba1\u7406\u5668\uff08Application Master, AM\uff09\u5c06\u8ddf\u8e2a\u5bfc\u81f4\u4efb\u52a1\u5931\u8d25\u7684\u8282\u70b9\u3002\u5982\u679c\u4e00\u4e2a\u8282\u70b9\u5bfc\u81f4\u4e86\u8db3\u591f\u591a\u7684\u4efb\u52a1\u5931\u8d25\uff08\u6839\u636e\u5176\u4ed6\u914d\u7f6e\u7684\u9608\u503c\u8bbe\u5b9a\uff09\uff0c\u90a3\u4e48\u5b83\u5c06\u88ab\u6dfb\u52a0\u5230\u9ed1\u540d\u5355\u4e2d\u3002\u6b64\u540e\uff0c\u8fd9\u4e2a\u4f5c\u4e1a\u5c06\u4e0d\u4f1a\u518d\u5c06\u4efb\u52a1\u8c03\u5ea6\u5230\u88ab\u52a0\u5165\u9ed1\u540d\u5355\u7684\u8282\u70b9\u4e0a\u3002\u8fd9\u6837\u505a\u7684\u76ee\u7684\u662f\u901a\u8fc7\u907f\u514d\u90a3\u4e9b\u6b63\u5728\u7ecf\u5386\u786c\u4ef6\u6545\u969c\u3001\u914d\u7f6e\u9519\u8bef\u6216\u5176\u4ed6\u95ee\u9898\u800c\u5bfc\u81f4\u4efb\u52a1\u53cd\u590d\u5931\u8d25\u7684\u8282\u70b9\uff0c\u4ece\u800c\u63d0\u9ad8\u4f5c\u4e1a\u7684\u53ef\u9760\u6027\u548c\u6027\u80fd\u3002\n\n**\u5173\u952e\u8003\u8651\u56e0\u7d20\u5305\u62ec:**\n\n- **\u5931\u8d25\u9608\u503c**: \u8fd8\u6709\u5176\u4ed6\u76f8\u5173\u7684\u914d\u7f6e\u9879\u63a7\u5236\u4e00\u4e2a\u8282\u70b9\u5728\u88ab\u5217\u5165\u9ed1\u540d\u5355\u524d\u5fc5\u987b\u5bfc\u81f4\u591a\u5c11\u6b21\u5931\u8d25\uff0c\u4ee5\u53ca\u5728 AM \u505c\u6b62\u5c06\u66f4\u591a\u8282\u70b9\u52a0\u5165\u9ed1\u540d\u5355\u524d\uff0c\u6574\u4e2a\u8282\u70b9\u6c60\u4e2d\u5fc5\u987b\u6709\u591a\u5927\u6bd4\u4f8b\u7684\u8282\u70b9\u5931\u8d25\u3002\u8fd9\u4e9b\u9608\u503c\u6709\u52a9\u4e8e\u7ba1\u7406\u548c\u5e73\u8861\u4f55\u65f6\u5c06\u4e00\u4e2a\u8282\u70b9\u8ba4\u5b9a\u4e3a\u5bf9\u4efb\u52a1\u8c03\u5ea6\u6709\u5bb3\u7684\u51b3\u7b56\u3002\n  \n- **\u4f5c\u4e1a\u7279\u5b9a**: \u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u8fd9\u79cd\u9ed1\u540d\u5355\u662f\u9488\u5bf9\u6bcf\u4e2a MapReduce \u4f5c\u4e1a\u7684\u5e94\u7528\u4e3b\u7ba1\u7406\u5668\u7279\u5b9a\u7684\u3002\u4e00\u4e2a\u4f5c\u4e1a\u7684\u9ed1\u540d\u5355\u4e0d\u4f1a\u5f71\u54cd\u5176\u4ed6\u4f5c\u4e1a\u3002\u8fd9\u79cd\u7cbe\u7ec6\u5316\u7684\u65b9\u6cd5\u5141\u8bb8\u57fa\u4e8e\u6bcf\u4e2a\u4f5c\u4e1a\u7684\u5b9e\u9645\u7ecf\u9a8c\u66f4\u6709\u9488\u5bf9\u6027\u5730\u521b\u5efa\u6267\u884c\u73af\u5883\uff0c\u800c\u4e0d\u662f\u5728\u6574\u4e2a\u96c6\u7fa4\u4e2d\u5e7f\u6cdb\u60e9\u7f5a\u8282\u70b9\u3002\n\n- **\u52a8\u6001\u6027**: \u5728\u6b64\u8bbe\u7f6e\u4e0b\u7684\u8282\u70b9\u9ed1\u540d\u5355\u662f\u52a8\u6001\u7684\u3002\u5982\u679c\u4e00\u4e2a\u8282\u70b9\u7684\u72b6\u51b5\u6709\u6240\u6539\u5584\u4e14\u505c\u6b62\u4e86\u5bfc\u81f4\u4efb\u52a1\u5931\u8d25\uff0c\u90a3\u4e48\u5b83\u53ef\u4ee5\u4ece\u9ed1\u540d\u5355\u4e2d\u5220\u9664\uff0c\u7528\u4e8e\u672a\u6765\u7684\u4efb\u52a1\u3002\n\n### \u5b9e\u9645\u5e94\u7528\n\n\u5728\u51b3\u5b9a\u662f\u5426\u542f\u7528\u8fd9\u4e2a\u529f\u80fd\u65f6\uff0c\u5e94\u8003\u8651\u5230\u4f60\u7684 Hadoop \u96c6\u7fa4\u53ca\u5176\u8fd0\u884c\u7684\u5de5\u4f5c\u8d1f\u8f7d\u7684\u5177\u4f53\u9700\u6c42\u548c\u7279\u6027\u3002\u5728\u8282\u70b9\u6027\u80fd\u53d8\u5316\u4e0d\u5b9a\u7684\u73af\u5883\u4e2d\u542f\u7528\u8282\u70b9\u9ed1\u540d\u5355\u53ef\u4ee5\u5e26\u6765\u597d\u5904\uff0c\u56e0\u4e3a\u907f\u5f00\u6709\u95ee\u9898\u7684\u8282\u70b9\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u4f5c\u4e1a\u7684\u6267\u884c\u65f6\u95f4\u548c\u53ef\u9760\u6027\u3002\u5728\u66f4\u7a33\u5b9a\u7684\u73af\u5883\u4e2d\uff0c\u6216\u8005\u5f53\u8bca\u65ad\u5de5\u4f5c\u96c6\u4e2d\u4e8e\u8bc6\u522b\u5e76\u7ea0\u6b63\u51fa\u9519\u7684\u8282\u70b9\u65f6\uff0c\u53ef\u80fd\u4f1a\u9009\u62e9\u4e0d\u542f\u7528\u6b64\u529f\u80fd\u3002\n\n\u5bf9\u4e8e\u90a3\u4e9b\u6027\u80fd\u654f\u611f\u6216\u65f6\u95f4\u7d27\u8feb\u7684 MapReduce \u4f5c\u4e1a\uff0c\u901a\u8fc7\u7cbe\u5fc3\u8c03\u6574\u8fd9\u4e2a\u548c\u76f8\u5173\u7684\u914d\u7f6e\u53ef\u4ee5\u5b9e\u73b0\u5728\u541e\u5410\u91cf\u548c\u53ef\u9760\u6027\u65b9\u9762\u7684\u663e\u8457\u6539\u8fdb\uff0c\u6709\u6548\u5730\u7ed5\u8fc7\u53ef\u80fd\u5bfc\u81f4\u4efb\u52a1\u53cd\u590d\u5931\u8d25\u7684\u786c\u4ef6\u6216\u914d\u7f6e\u95ee\u9898\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1255,"n_turns_in_conversation":9,"n_words":67,"source_row_offset":15524,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"e044895bfd76f8e0587ea892","turn_index":2,"user_text":"yarn.app.mapreduce.am.job.node-blacklisting.enable \u4f5c\u7528"},{"assistant_initiates":false,"asst_text":"HDFS\uff08Hadoop\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf\uff09\u9ad8\u53ef\u7528\u6027\uff08HA\uff09\u662f\u4e3a\u4e86\u786e\u4fdd\u5728Hadoop\u96c6\u7fa4\u4e2d\uff0c\u5373\u4f7f\u67d0\u4e9b\u5173\u952e\u7ec4\u4ef6\uff08\u7279\u522b\u662fNameNode\uff09\u53d1\u751f\u6545\u969c\u65f6\uff0c\u7cfb\u7edf\u4ecd\u80fd\u7ee7\u7eed\u8fd0\u4f5c\u4e0d\u53d7\u5f71\u54cd\u3002\u4ee5\u4e0b\u662f\u5b9e\u73b0HDFS HA\u7684\u4e3b\u8981\u673a\u5236\u548c\u6b65\u9aa4\u4ee5\u53ca\u5982\u4f55\u8fdb\u884c\u5224\u65ad\uff1a\n\n### 1. \u914d\u7f6e\u53ccNameNode\n\u5728HDFS HA\u914d\u7f6e\u4e2d\uff0c\u4f1a\u914d\u7f6e\u4e24\u4e2aNameNode\uff0c\u4e00\u4e2a\u4f5c\u4e3aActive NameNode\uff08\u6d3b\u8dc3\u7684\uff09\uff0c\u53e6\u4e00\u4e2a\u4f5c\u4e3aStandby NameNode\uff08\u5f85\u547d\u7684\uff09\u3002Active NameNode\u8d1f\u8d23\u5904\u7406\u6240\u6709\u5ba2\u6237\u7aef\u64cd\u4f5c\uff0c\u800cStandby NameNode\u4e0eActive\u4fdd\u6301\u540c\u6b65\uff0c\u51c6\u5907\u5728\u9700\u8981\u65f6\u63a5\u7ba1\u5de5\u4f5c\u3002\n\n### 2. \u4f7f\u7528\u5171\u4eab\u5b58\u50a8\n\u4e24\u4e2aNameNode\u8981\u6709\u80fd\u529b\u5feb\u901f\u5207\u6362\uff0c\u9700\u8981\u4e00\u4e2a\u5171\u4eab\u5b58\u50a8\u7cfb\u7edf\u6765\u4fdd\u5b58\u6587\u4ef6\u7cfb\u7edf\u7684\u5143\u6570\u636e\u3002\u8fd9\u901a\u5e38\u901a\u8fc7\u4f7f\u7528NFS\uff08\u7f51\u7edc\u6587\u4ef6\u7cfb\u7edf\uff09\u6216\u8005HDFS\u672c\u8eab\u7684QJM\uff08Quorum Journal Manager\uff09\u6765\u5b9e\u73b0\u3002\n\n### 3. \u81ea\u52a8\u6545\u969c\u8f6c\u79fb\n\u4e3a\u4e86\u5b9e\u73b0\u5728Active NameNode\u53d1\u751f\u6545\u969c\u65f6\u7684\u65e0\u7f1d\u8f6c\u6362\uff0cHDFS HA\u914d\u7f6e\u4e2d\u5305\u542b\u4e86\u81ea\u52a8\u6545\u969c\u8f6c\u79fb\u673a\u5236\u3002\u8fd9\u6d89\u53ca\u5230\u914d\u7f6eZooKeeper\u4ee5\u53ca\u76f8\u5bf9\u5e94\u7684ZooKeeper\u6545\u969c\u8f6c\u79fb\u63a7\u5236\u5668\uff08ZKFC\uff09\u3002ZooKeeper\u8d1f\u8d23\u76d1\u63a7\u4e24\u4e2aNameNode\u7684\u72b6\u6001\uff0c\u800cZKFC\u8d1f\u8d23\u5728\u68c0\u6d4b\u5230Active NameNode\u6545\u969c\u65f6\u8fdb\u884c\u6295\u7968\u5e76\u89e6\u53d1\u6545\u969c\u8f6c\u79fb\u3002\n\n### \u5982\u4f55\u5224\u65adHDFS\u662f\u5426\u914d\u7f6e\u4e86HA\uff1f\n1. **\u67e5\u770b\u914d\u7f6e\u6587\u4ef6**\uff1a\u68c0\u67e5Hadoop\u914d\u7f6e\u6587\u4ef6\uff08\u4f8b\u5982`hdfs-site.xml`\uff09\uff0c\u4ee5\u786e\u8ba4\u662f\u5426\u914d\u7f6e\u4e86\u53ccNameNode\u4ee5\u53ca\u76f8\u5173HA\u8bbe\u7f6e\u3002\n\n2. **\u68c0\u67e5NameNode\u72b6\u6001**\uff1a\u901a\u8fc7Hadoop\u547d\u4ee4\u884c\u5de5\u5177\uff0c\u5982\u4f7f\u7528`hdfs haadmin -getServiceState nn1`\u67e5\u8be2NameNode\u7684\u72b6\u6001\uff08`nn1`\u4e3aNameNode\u7684ID\uff09\u53ef\u4ee5\u770b\u5230\u5176\u662f\u5904\u4e8eActive\u8fd8\u662fStandby\u72b6\u6001\u3002\n\n3. **ZooKeeper\u72b6\u6001**\uff1a\u68c0\u67e5ZooKeeper\u96c6\u7fa4\u7684\u72b6\u6001\uff0c\u4ee5\u53ca\u662f\u5426\u6709ZKFC\u8fdb\u7a0b\u5728\u8fd0\u884c\uff0c\u56e0\u4e3a\u5b83\u4eec\u4e3aHDFS HA\u63d0\u4f9b\u5fc5\u9700\u7684\u670d\u52a1\u548c\u6545\u969c\u8f6c\u79fb\u673a\u5236\u3002\n\n4. **NameNode\u65e5\u5fd7**\uff1a\u67e5\u9605NameNode\u7684\u65e5\u5fd7\u6587\u4ef6\uff0c\u5b83\u4eec\u901a\u5e38\u4f1a\u8bb0\u5f55\u4e0eHA\u76f8\u5173\u7684\u64cd\u4f5c\uff0c\u4f8b\u5982\u6545\u969c\u8f6c\u79fb\u4e8b\u4ef6\u3002\n\n5. **Web\u754c\u9762**\uff1a\u53ef\u4ee5\u901a\u8fc7Hadoop\u96c6\u7fa4\u7684Web\u754c\u9762\u8bbf\u95eeNameNode\u7684\u72b6\u6001\u9875\u9762\uff0c\u67e5\u770b\u5176\u89d2\u8272\uff08Active\u6216Standby\uff09\u548c\u5065\u5eb7\u72b6\u6001\u3002\n\n\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u5224\u65ad\u4f60\u7684Hadoop\u96c6\u7fa4\u662f\u5426\u914d\u7f6e\u4e86HDFS\u7684\u9ad8\u53ef\u7528\u6027\u529f\u80fd\u3002\u6b63\u786e\u914d\u7f6e\u548c\u7ba1\u7406HDFS HA\u5bf9\u4e8e\u6784\u5efa\u4e00\u4e2a\u53ef\u9760\u7684\u5927\u6570\u636e\u751f\u6001\u7cfb\u7edf\u81f3\u5173\u91cd\u8981\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1107,"n_turns_in_conversation":9,"n_words":45,"source_row_offset":15525,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"386d9f8100e935c006419804","turn_index":3,"user_text":"hdfs ha \u5982\u4f55\u5224\u716e"},{"assistant_initiates":false,"asst_text":"`yarn.resourcemanager.am-scheduling.node-blacklisting-enabled` \u662f Apache Hadoop YARN \u7684\u4e00\u4e2a\u914d\u7f6e\u9879\uff0c\u5b83\u63a7\u5236\u7740\u662f\u5426\u542f\u7528\u5bf9\u8d44\u6e90\u7ba1\u7406\u5668\uff08ResourceManager, RM\uff09\u5728\u5206\u914d\u8d44\u6e90\u7ed9\u5e94\u7528\u4e3b\u7ba1\u7406\u5668\uff08Application Master, AM\uff09\u65f6\u91c7\u7528\u7684\u8282\u70b9\u9ed1\u540d\u5355\u529f\u80fd\u3002\u5f53\u8fd9\u4e2a\u529f\u80fd\u88ab\u542f\u7528\u65f6\uff0c\u5b83\u5141\u8bb8\u8d44\u6e90\u7ba1\u7406\u5668\u8bc6\u522b\u51fa\u90a3\u4e9b\u6267\u884c\u5e94\u7528\u4efb\u52a1\u65f6\u9891\u7e41\u5931\u8d25\u7684\u8282\u70b9\uff0c\u5e76\u5c06\u5b83\u4eec\u52a0\u5165\u9ed1\u540d\u5355\uff0c\u4ece\u800c\u907f\u514d\u5728\u540e\u7eed\u7684\u8d44\u6e90\u5206\u914d\u4e2d\u4f7f\u7528\u8fd9\u4e9b\u8282\u70b9\u3002\n\n### \u914d\u7f6e\u9879\u8be6\u89e3\n\n- **\u952e\uff08Key\uff09**: `yarn.resourcemanager.am-scheduling.node-blacklisting-enabled`\n- **\u503c\uff08Value\uff09**: \u901a\u5e38\u8bbe\u7f6e\u4e3a `true`\uff08\u542f\u7528\uff09\u6216 `false`\uff08\u7981\u7528\uff09\u3002\n\n### \u542f\u7528\u8282\u70b9\u9ed1\u540d\u5355\u7684\u4f5c\u7528\n\n1. **\u63d0\u9ad8\u53ef\u9760\u6027**\uff1a\u901a\u8fc7\u907f\u514d\u5411\u90a3\u4e9b\u5df2\u77e5\u4f1a\u5bfc\u81f4\u4efb\u52a1\u5931\u8d25\u7684\u8282\u70b9\u5206\u914d\u4efb\u52a1\uff0c\u53ef\u589e\u52a0\u4f5c\u4e1a\u5b8c\u6210\u7684\u6210\u529f\u7387\u3002\n2. **\u4f18\u5316\u8d44\u6e90\u5229\u7528**\uff1a\u8bc6\u522b\u5e76\u907f\u514d\u4f7f\u7528\u95ee\u9898\u8282\u70b9\uff0c\u53ef\u4ee5\u786e\u4fdd\u4f5c\u4e1a\u5f97\u5230\u66f4\u4e3a\u6709\u6548\u548c\u7a33\u5b9a\u7684\u8d44\u6e90\u652f\u6301\uff0c\u63d0\u9ad8\u6574\u4e2a\u96c6\u7fa4\u7684\u8d44\u6e90\u5229\u7528\u7387\u3002\n3. **\u51cf\u5c11\u6545\u969c\u65f6\u95f4**\uff1a\u5feb\u901f\u8bc6\u522b\u5e76\u9694\u79bb\u95ee\u9898\u8282\u70b9\u53ef\u4ee5\u51cf\u5c11\u6545\u969c\u8bca\u65ad\u548c\u6062\u590d\u7684\u65f6\u95f4\uff0c\u5e2e\u52a9\u7ef4\u62a4\u6574\u4e2a\u7cfb\u7edf\u7684\u9ad8\u53ef\u7528\u6027\u3002\n\n### \u5982\u4f55\u5de5\u4f5c\n\n\u542f\u7528\u8be5\u529f\u80fd\u540e\uff0cYARN\u7684\u8d44\u6e90\u7ba1\u7406\u5668\u4f1a\u8ddf\u8e2a\u6bcf\u4e2a\u8282\u70b9\u4e0a\u4efb\u52a1\u6267\u884c\u7684\u6210\u529f\u7387\u3002\u5982\u679c\u67d0\u8282\u70b9\u4e0a\u7684\u4efb\u52a1\u5931\u8d25\u6b21\u6570\u8d85\u8fc7\u9884\u8bbe\u9608\u503c\uff0c\u8be5\u8282\u70b9\u5c31\u4f1a\u88ab\u52a0\u5165\u9ed1\u540d\u5355\u3002\u4e00\u65e6\u88ab\u52a0\u5165\u9ed1\u540d\u5355\uff0c\u8d44\u6e90\u7ba1\u7406\u5668\u5c31\u4f1a\u505c\u6b62\u5411\u8be5\u8282\u70b9\u5206\u914d\u65b0\u7684\u4efb\u52a1\uff0c\u76f4\u5230\u8be5\u8282\u70b9\u4ece\u9ed1\u540d\u5355\u4e2d\u79fb\u9664\u3002\u8282\u70b9\u53ef\u4ee5\u56e0\u4e3a\u591a\u79cd\u539f\u56e0\u52a0\u5165\u9ed1\u540d\u5355\uff0c\u6bd4\u5982\u786c\u4ef6\u6545\u969c\u3001\u7f51\u7edc\u95ee\u9898\u6216\u914d\u7f6e\u9519\u8bef\u3002\n\n### \u6ce8\u610f\u4e8b\u9879\n\n- **\u52a8\u6001\u7ba1\u7406**\uff1a\u9ed1\u540d\u5355\u662f\u52a8\u6001\u7ba1\u7406\u7684\uff0c\u610f\u5473\u7740\u8282\u70b9\u4f1a\u6839\u636e\u5176\u6700\u65b0\u7684\u8868\u73b0\u88ab\u52a0\u5165\u6216\u79fb\u51fa\u9ed1\u540d\u5355\u3002\n- **\u914d\u7f6e\u9608\u503c**\uff1a\u53ef\u4ee5\u901a\u8fc7\u5176\u4ed6\u76f8\u5173\u7684\u914d\u7f6e\u9879\u6765\u8bbe\u5b9a\u8282\u70b9\u88ab\u52a0\u5165\u9ed1\u540d\u5355\u7684\u6761\u4ef6\uff0c\u6bd4\u5982\u5931\u8d25\u4efb\u52a1\u7684\u6bd4\u7387\u548c\u6570\u91cf\u9608\u503c\u3002\n\n### \u7ed3\u8bba\n\n`yarn.resourcemanager.am-scheduling.node-blacklisting-enabled` \u662f\u4e00\u4e2a\u91cd\u8981\u7684\u914d\u7f6e\u9879\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u81ea\u52a8\u5316\u7684\u673a\u5236\uff0c\u901a\u8fc7\u6392\u9664\u95ee\u9898\u8282\u70b9\u6765\u63d0\u5347Hadoop\u96c6\u7fa4\u7684\u6574\u4f53\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u7ba1\u7406\u5458\u5e94\u6839\u636e\u81ea\u5df1\u96c6\u7fa4\u7684\u5177\u4f53\u9700\u6c42\u548c\u8fd0\u884c\u60c5\u51b5\u6765\u51b3\u5b9a\u662f\u5426\u542f\u7528\u6b64\u529f\u80fd\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1045,"n_turns_in_conversation":9,"n_words":42,"source_row_offset":15526,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"23a3de511f8db53d60c7b685","turn_index":4,"user_text":"yarn.resourcemanager.am-scheduling.node-blacklisting-enabled \u4f5c\u7528"},{"assistant_initiates":false,"asst_text":"\u4f18\u5316Hive\u4e0a\u8fd0\u884c\u7684TPC-DS Query 67\uff08\u6216\u4efb\u4f55\u590d\u6742\u67e5\u8be2\uff09\u901a\u5e38\u9700\u8981\u4e00\u4e2a\u7efc\u5408\u6027\u7684\u65b9\u6cd5\uff0c\u8003\u8651\u5230\u6570\u636e\u5b58\u50a8\u683c\u5f0f\u3001Hive\u914d\u7f6e\u3001\u67e5\u8be2\u672c\u8eab\u7684\u7f16\u5199\u4ee5\u53ca\u5e95\u5c42\u786c\u4ef6\u8d44\u6e90\u7b49\u591a\u4e2a\u65b9\u9762\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5728\u4f7f\u7528Hive on Tez\u6267\u884c\u67e5\u8be2\u65f6\u53ef\u4ee5\u8003\u8651\u7684\u4f18\u5316\u5efa\u8bae\uff1a\n\n### 1. \u4f18\u5316\u6570\u636e\u5b58\u50a8\u548c\u683c\u5f0f\n- **\u5206\u533a\u548c\u5206\u6876**\uff1a\u6839\u636e\u67e5\u8be2\u8bbf\u95ee\u6570\u636e\u7684\u65b9\u5f0f\uff0c\u4e3a\u8868\u6dfb\u52a0\u5206\u533a\u548c/\u6216\u5206\u6876\uff0c\u4ee5\u51cf\u5c11\u67e5\u8be2\u9700\u8981\u626b\u63cf\u7684\u6570\u636e\u91cf\u3002\n- **\u4f7f\u7528\u5217\u5f0f\u5b58\u50a8\u683c\u5f0f**\uff1a\u8003\u8651\u4f7f\u7528ORC\u6216Parquet\u7b49\u5217\u5f0f\u5b58\u50a8\u683c\u5f0f\uff0c\u8fd9\u4e9b\u683c\u5f0f\u4e3a\u5927\u6570\u636e\u96c6\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u538b\u7f29\u548c\u7f16\u7801\u65b9\u6848\uff0c\u53ef\u4ee5\u63d0\u9ad8\u67e5\u8be2\u6027\u80fd\u3002\n\n### 2. \u8c03\u6574Hive\u914d\u7f6e\n- **\u589e\u52a0Tez\u8d44\u6e90**\uff1a\u901a\u8fc7\u8c03\u6574`tez.container.size`\uff0c\u4e3aTez\u4efb\u52a1\u5206\u914d\u66f4\u591a\u7684\u5185\u5b58\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u8c03\u6574`hive.tez.java.opts`\u6765\u589e\u52a0\u53ef\u4ee5\u4f7f\u7528\u7684\u6700\u5927\u5806\u5927\u5c0f\u3002\n- **\u4f7f\u7528Cost Based Optimizer (CBO)**\uff1a\u786e\u4fdd\u542f\u7528Hive\u7684\u4ee3\u4ef7\u57fa\u4f18\u5316\u5668\uff0c\u5e76\u4e3a\u4f60\u7684\u6570\u636e\u751f\u6210\u548c\u4f7f\u7528\u7edf\u8ba1\u4fe1\u606f\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e`hive.cbo.enable=true`\u6765\u542f\u7528CBO\u3002\n- **\u8c03\u6574\u5e76\u884c\u5ea6**\uff1a\u901a\u8fc7\u8c03\u6574`hive.exec.parallel`\uff08\u5141\u8bb8Hive\u6267\u884c\u64cd\u4f5c\u5e76\u884c\uff09\uff0c`hive.exec.parallel.thread.number`\uff08\u63a7\u5236\u5e76\u884c\u6267\u884c\u7684\u7ebf\u7a0b\u6570\uff09\uff0c\u4ee5\u53ca`tez.am.resource.memory.mb`\uff08\u8c03\u6574Application Master\u7684\u5185\u5b58\uff09\u6765\u4f18\u5316\u6267\u884c\u8ba1\u5212\u3002\n\n### 3. \u4f18\u5316\u67e5\u8be2\n- **\u91cd\u65b0\u7f16\u5199\u5b50\u67e5\u8be2**\uff1a\u8003\u8651\u5c06\u67d0\u4e9b\u5b50\u67e5\u8be2\u91cd\u5199\u4e3a`WITH`\u5b50\u53e5\u6216\u4e34\u65f6\u8868\uff0c\u8fd9\u53ef\u80fd\u6709\u52a9\u4e8eHive\u66f4\u597d\u5730\u4f18\u5316\u67e5\u8be2\u3002\n- **\u4f7f\u7528\u5408\u9002\u7684JOIN\u7b56\u7565**\uff1a\u6839\u636e\u6570\u636e\u91cf\u548c\u5206\u5e03\uff0c\u9009\u62e9\u5408\u9002\u7684JOIN\u7c7b\u578b\uff08\u5982\uff1aMap Join\uff09\u3002\n- **\u51cf\u5c11\u6570\u636e\u7684\u79fb\u52a8**\uff1a\u4f18\u5316\u67e5\u8be2\u4ee5\u51cf\u5c11Shuffle\u64cd\u4f5c\u7684\u6570\u636e\u91cf\uff0c\u6bd4\u5982\uff0c\u5728\u5408\u9002\u7684\u5730\u65b9\u4f7f\u7528`distribute by`\u548c`sort by`\u4ee5\u51cf\u5c11Reduce\u9636\u6bb5\u7684\u5f00\u9500\u3002\n\n### 4. \u751f\u6210\u548c\u4f7f\u7528\u7edf\u8ba1\u4fe1\u606f\n- \u4f7f\u7528`ANALYZE TABLE table_name COMPUTE STATISTICS FOR COLUMNS`\u4e3a\u8868\u548c\u5217\u751f\u6210\u7edf\u8ba1\u4fe1\u606f\uff0c\u8fd9\u6709\u52a9\u4e8e\u4f18\u5316\u5668\u751f\u6210\u66f4\u6709\u6548\u7684\u6267\u884c\u8ba1\u5212\u3002\n\n### 5. \u8003\u8651\u4f7f\u7528\u7269\u5316\u89c6\u56fe\n- \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5bf9\u4e8e\u7ecf\u5e38\u6267\u884c\u7684\u590d\u6742\u67e5\u8be2\uff0c\u521b\u5efa\u7269\u5316\u89c6\u56fe\u53ef\u80fd\u4f1a\u6709\u6240\u5e2e\u52a9\u3002\n\n### 6. \u786c\u4ef6\u548c\u96c6\u7fa4\u914d\u7f6e\n- **\u5185\u5b58\u548cCPU**\uff1a\u786e\u4fddHive\u670d\u52a1\u5668\u548cTez\u4f5c\u4e1a\u5177\u6709\u8db3\u591f\u7684\u5185\u5b58\u548cCPU\u8d44\u6e90\u3002\n- **\u7f51\u7edc**\uff1a\u4f18\u5316\u7f51\u7edc\u4ee5\u51cf\u5c11\u6570\u636e\u4f20\u8f93\u65f6\u95f4\uff0c\u7279\u522b\u662f\u5728\u5927\u6570\u636e\u96c6\u7fa4\u4e2d\u3002\n- **\u5b58\u50a8I/O**\uff1a\u4f7f\u7528\u66f4\u5feb\u7684\u5b58\u50a8\u89e3\u51b3\u65b9\u6848\uff0c\u5982SSD\uff0c\u4ee5\u51cf\u5c11I/O\u74f6\u9888\u3002\n\n\u6bcf\u4e2a\u4f18\u5316\u7b56\u7565\u7684\u6548\u679c\u53ef\u80fd\u56e0\u5177\u4f53\u7684\u67e5\u8be2\u3001\u6570\u636e\u5206\u5e03\u548c\u96c6\u7fa4\u914d\u7f6e\u800c\u5f02\u3002\u8fdb\u884c\u8fd9\u4e9b\u4f18\u5316\u65f6\uff0c\u5efa\u8bae\u5206\u9636\u6bb5\u8fdb\u884c\uff0c\u5e76\u4f7f\u7528\u5b9e\u9645\u7684\u67e5\u8be2\u548c\u6570\u636e\u96c6\u6d4b\u8bd5\u6bcf\u6b21\u6539\u53d8\u7684\u6548\u679c\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1241,"n_turns_in_conversation":9,"n_words":69,"source_row_offset":15527,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"7eaf145cd05068ebcedc43d7","turn_index":5,"user_text":"tpcds query67 hive on tez \u5982\u4f55\u4f18\u5316"},{"assistant_initiates":false,"asst_text":"\u5728Hive\u4e2d\u521b\u5efa\u7269\u5316\u89c6\u56fe\u662f\u4e00\u4e2a\u63d0\u5347\u67e5\u8be2\u6027\u80fd\u7684\u5f3a\u5927\u65b9\u6cd5\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u9891\u7e41\u6267\u884c\u7684\u590d\u6742\u67e5\u8be2\u3002\u7269\u5316\u89c6\u56fe\u4e8b\u5b9e\u4e0a\u662f\u4e00\u79cd\u7279\u6b8a\u7684\u8868\uff0c\u5b83\u5b58\u50a8\u4e86\u67e5\u8be2\u7684\u7ed3\u679c\u6570\u636e\u3002\u5f53\u5bf9\u6570\u636e\u8fdb\u884c\u67e5\u8be2\u65f6\uff0c\u5982\u679c\u67e5\u8be2\u80fd\u591f\u88ab\u91cd\u5199\u4e3a\u5bf9\u5e94\u7684\u7269\u5316\u89c6\u56fe\uff0c\u5219\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u8fd9\u4e9b\u9884\u5148\u8ba1\u7b97\u597d\u7684\u7ed3\u679c\uff0c\u4ece\u800c\u907f\u514d\u4e86\u590d\u6742\u7684\u8ba1\u7b97\u8fc7\u7a0b\uff0c\u663e\u8457\u63d0\u9ad8\u67e5\u8be2\u6027\u80fd\u3002\n\n### \u521b\u5efa\u7269\u5316\u89c6\u56fe\u7684\u57fa\u672c\u8bed\u6cd5\n\n```sql\nCREATE MATERIALIZED VIEW [IF NOT EXISTS] [db_name.]materialized_view_name\n[COMMENT materialized_view_comment]\n[TBLPROPERTIES (property_name=property_value, ...)]\nAS select_statement;\n```\n\n### \u793a\u4f8b\n\n\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u540d\u4e3a`sales_data`\u7684\u8868\uff0c\u5b83\u5305\u542b\u4e86\u4e0d\u540c\u5e97\u94fa\u4e0d\u540c\u65e5\u671f\u7684\u9500\u552e\u6570\u636e\u3002\u73b0\u5728\u6211\u4eec\u60f3\u8981\u521b\u5efa\u4e00\u4e2a\u7269\u5316\u89c6\u56fe\u6765\u5b58\u50a8\u6bcf\u4e2a\u5e97\u94fa\u7684\u603b\u9500\u552e\u989d\uff1a\n\n```sql\nCREATE MATERIALIZED VIEW IF NOT EXISTS total_sales\nAS\nSELECT store_id, SUM(sales) AS total_sales\nFROM sales_data\nGROUP BY store_id;\n```\n\n\u8fd9\u4e2a\u7269\u5316\u89c6\u56fe`total_sales`\u4f1a\u5b58\u50a8\u6bcf\u4e2a`store_id`\u7684\u9500\u552e\u603b\u989d\u3002\u521b\u5efa\u4e4b\u540e\uff0c\u5982\u679c\u6709\u67e5\u8be2\u9700\u8981\u83b7\u53d6\u6bcf\u4e2a\u5e97\u94fa\u7684\u9500\u552e\u603b\u989d\uff0cHive\u53ef\u4ee5\u76f4\u63a5\u5229\u7528\u8fd9\u4e2a\u7269\u5316\u89c6\u56fe\u6765\u52a0\u901f\u67e5\u8be2\u3002\n\n### \u6ce8\u610f\u4e8b\u9879\n\n- **\u81ea\u52a8\u91cd\u5199**\uff1aHive\u53ef\u4ee5\u81ea\u52a8\u91cd\u5199\u7528\u6237\u67e5\u8be2\u4ee5\u5229\u7528\u7269\u5316\u89c6\u56fe\uff0c\u4f46\u8fd9\u9700\u8981\u5728Hive\u914d\u7f6e\u4e2d\u542f\u7528\u76f8\u5e94\u7684\u8bbe\u7f6e\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e`hive.materializedview.rewriting`\u4e3a`true`\u6765\u542f\u7528\u3002\n  \n- **\u624b\u52a8\u7ba1\u7406**\uff1a\u7269\u5316\u89c6\u56fe\u4e0d\u4f1a\u81ea\u52a8\u66f4\u65b0\u4ee5\u53cd\u6620\u57fa\u7840\u6570\u636e\u7684\u53d8\u5316\u3002\u9700\u8981\u5b9a\u671f\u5237\u65b0\u7269\u5316\u89c6\u56fe\u4ee5\u4fdd\u8bc1\u5176\u6570\u636e\u7684\u65f6\u6548\u6027\u548c\u51c6\u786e\u6027\u3002\n  \n- **\u5b58\u50a8\u548c\u67e5\u8be2\u6210\u672c**\uff1a\u867d\u7136\u7269\u5316\u89c6\u56fe\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u67e5\u8be2\u6027\u80fd\uff0c\u4f46\u5b83\u4eec\u4e5f\u5360\u7528\u5b58\u50a8\u7a7a\u95f4\uff0c\u5e76\u4e14\u5728\u6570\u636e\u53d8\u5316\u65f6\u9700\u8981\u7ef4\u62a4\u3002\u56e0\u6b64\uff0c\u5728\u521b\u5efa\u7269\u5316\u89c6\u56fe\u4e4b\u524d\uff0c\u9700\u8981\u6743\u8861\u8fd9\u4e9b\u56e0\u7d20\u3002\n\n- **\u517c\u5bb9\u6027\u548c\u7248\u672c**\uff1a\u4e0d\u540c\u7248\u672c\u7684Hive\u5bf9\u7269\u5316\u89c6\u56fe\u7684\u652f\u6301\u7a0b\u5ea6\u53ef\u80fd\u4e0d\u540c\uff0c\u8bf7\u6839\u636e\u4f60\u7684Hive\u7248\u672c\u67e5\u770b\u5bf9\u5e94\u7684\u6587\u6863\u3002\n\n\u7269\u5316\u89c6\u56fe\u662f\u4f18\u5316Hive\u67e5\u8be2\u6027\u80fd\u7684\u6709\u529b\u5de5\u5177\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u590d\u6742\u8ba1\u7b97\u548c\u5927\u6570\u636e\u96c6\u65f6\u3002\u901a\u8fc7\u5408\u7406\u4f7f\u7528\u7269\u5316\u89c6\u56fe\uff0c\u53ef\u4ee5\u5728\u63d0\u9ad8\u67e5\u8be2\u6548\u7387\u7684\u540c\u65f6\u51cf\u5c11\u7cfb\u7edf\u7684\u8ba1\u7b97\u538b\u529b\u3002\u5728\u5b9e\u8df5\u4e2d\uff0c\u5408\u7406\u9009\u62e9\u9700\u8981\u7269\u5316\u7684\u67e5\u8be2\uff0c\u5e76\u5b9a\u671f\u7ef4\u62a4\u7269\u5316\u89c6\u56fe\uff0c\u53ef\u4ee5\u6700\u5927\u5316\u5229\u7528\u5176\u5e26\u6765\u7684\u6027\u80fd\u63d0\u5347\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1104,"n_turns_in_conversation":9,"n_words":56,"source_row_offset":15528,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"a4232dc7a38a76b919410ca5","turn_index":6,"user_text":"hive \u521b\u5efa\u7269\u5316\u89c6\u56fe"},{"assistant_initiates":false,"asst_text":"\u5728Apache Hive\u4e2d\uff0c`hive.vectorized.execution.enabled`\u662f\u4e00\u4e2a\u914d\u7f6e\u9009\u9879\uff0c\u7528\u4e8e\u5f00\u542f\u6216\u5173\u95ed\u5411\u91cf\u5316\u6267\u884c\u3002\u5411\u91cf\u5316\u6267\u884c\u662f\u4e00\u79cd\u6027\u80fd\u4f18\u5316\u6280\u672f\uff0c\u5b83\u5927\u5927\u63d0\u9ad8\u4e86\u6570\u636e\u5904\u7406\u7684\u901f\u5ea6\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e2a\u9009\u9879\u53ef\u80fd\u6839\u636eHive\u7248\u672c\u4e0d\u540c\u800c\u6709\u4e0d\u540c\u7684\u9ed8\u8ba4\u8bbe\u7f6e\u3002\u8981\u5145\u5206\u5229\u7528\u5411\u91cf\u5316\u67e5\u8be2\u6267\u884c\u7684\u4f18\u52bf\uff0c\u901a\u5e38\u63a8\u8350\u5c06\u6b64\u8bbe\u7f6e\u4e3a`true`\u3002\n\n### \u5411\u91cf\u5316\u6267\u884c\u7684\u5de5\u4f5c\u539f\u7406\n\n\u5411\u91cf\u5316\u6267\u884c\u901a\u8fc7\u6279\u91cf\u5904\u7406\u6570\u636e\u800c\u4e0d\u662f\u5355\u4e2a\u884c\u5904\u7406\u6765\u63d0\u9ad8\u6027\u80fd\u3002\u5728\u5e38\u89c4\u7684\u975e\u5411\u91cf\u5316\u6267\u884c\u4e2d\uff0c\u6267\u884c\u5f15\u64ce\u4f1a\u9010\u884c\u5904\u7406\u6570\u636e\uff0c\u6bcf\u6b21\u64cd\u4f5c\u90fd\u6d89\u53caCPU\u7684\u5206\u652f\u9884\u6d4b\u3001\u7f13\u5b58\u67e5\u627e\u7b49\u5f00\u9500\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5411\u91cf\u5316\u6267\u884c\u901a\u8fc7\u5728CPU\u5bc4\u5b58\u5668\u4e2d\u540c\u65f6\u5904\u7406\u4e00\u6279\u884c\uff08\u901a\u5e38\u4e3a\u51e0\u767e\u81f3\u4e0a\u5343\u6761\uff09\u6765\u51cf\u5c11\u8fd9\u4e9b\u5f00\u9500\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u9ad8\u7684\u6570\u636e\u541e\u5410\u91cf\u3002\n\n- **\u6570\u636e\u5b58\u653e**\uff1a\u5728\u5411\u91cf\u5316\u6267\u884c\u4e2d\uff0c\u6570\u636e\u88ab\u5b58\u50a8\u5728\u4e00\u79cd\u79f0\u4e3a\u201c\u5411\u91cf\u201d\u6216\u201c\u5217\u6279\u201d\u7684\u6570\u636e\u7ed3\u6784\u4e2d\uff0c\u5176\u4e2d\u5305\u542b\u4e86\u591a\u4e2a\u6570\u636e\u503c\u3002\u8fd9\u79cd\u5b58\u50a8\u65b9\u5f0f\u6709\u52a9\u4e8e\u66f4\u9ad8\u6548\u5730\u6267\u884c\u5e76\u884c\u64cd\u4f5c\u548c\u6279\u91cf\u6570\u636e\u5904\u7406\u3002\n- **\u64cd\u4f5c\u6267\u884c**\uff1a\u652f\u6301\u5411\u91cf\u5316\u7684\u64cd\u4f5c\uff08\u5982\u8fc7\u6ee4\u3001\u805a\u5408\u7b49\uff09\u88ab\u6267\u884c\u5728\u6574\u4e2a\u6279\u6b21\u4e0a\uff0c\u800c\u4e0d\u662f\u5355\u72ec\u7684\u884c\u4e0a\uff0c\u4ece\u800c\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002\n\n### \u914d\u7f6e\u5411\u91cf\u5316\u6267\u884c\n\n\u4e3a\u4e86\u542f\u7528\u5411\u91cf\u5316\u6267\u884c\uff0c\u4f60\u9700\u8981\u8bbe\u7f6e\u4ee5\u4e0b\u914d\u7f6e\u9879\u4e3a`true`\uff1a\n\n```sql\nSET hive.vectorized.execution.enabled = true;\n```\n\n\u6b64\u5916\uff0c\u4e3a\u4e86\u6700\u5927\u5316\u5411\u91cf\u5316\u6267\u884c\u7684\u6548\u7387\uff0c\u4f60\u8fd8\u53ef\u4ee5\u8003\u8651\u542f\u7528\u5411\u91cf\u5316\u67e5\u8be2\u8ba1\u5212\u7684\u89e3\u91ca\uff0c\u4ee5\u53ca\u9488\u5bf9ORC\u6587\u4ef6\u683c\u5f0f\u7684\u5411\u91cf\u5316\u8bfb\u53d6\u3002ORC\u6587\u4ef6\u683c\u5f0f\u662f\u4e3a\u4e86\u9ad8\u6548\u7684\u5927\u6570\u636e\u5904\u7406\u800c\u4f18\u5316\u7684\u5217\u5f0f\u5b58\u50a8\u683c\u5f0f\uff0c\u914d\u5408\u5411\u91cf\u5316\u6267\u884c\u80fd\u591f\u8fdb\u4e00\u6b65\u63d0\u9ad8\u67e5\u8be2\u6027\u80fd\u3002\n\n```sql\nSET hive.vectorized.execution.reduce.enabled = true; -- \u4f7f\u5f97\u5728Reduce\u9636\u6bb5\u4e5f\u542f\u7528\u5411\u91cf\u5316\u6267\u884c\nSET hive.vectorized.execution.enabled = true;\nSET hive.vectorized.execution.reduce.groupby.enabled = true; -- \u5f00\u542f\u5411\u91cf\u5316\u6267\u884c\u7684Reduce\u7aef\u805a\u5408\n```\n\n### \u6ce8\u610f\u4e8b\u9879\n\n- **\u6570\u636e\u683c\u5f0f**\uff1a\u5411\u91cf\u5316\u6267\u884c\u5bf9\u6570\u636e\u683c\u5f0f\u6709\u4f18\u5316\u3002\u4f7f\u7528\u5217\u5f0f\u5b58\u50a8\u683c\u5f0f\uff08\u5982ORC\u6216Parquet\uff09\u5c06\u6bd4\u884c\u5f0f\u5b58\u50a8\uff08\u5982TextFile\uff09\u53d7\u76ca\u66f4\u591a\u3002\n- **\u67e5\u8be2\u7c7b\u578b**\uff1a\u5e76\u975e\u6240\u6709\u7c7b\u578b\u7684\u67e5\u8be2\u90fd\u80fd\u4ece\u5411\u91cf\u5316\u6267\u884c\u4e2d\u83b7\u76ca\u3002\u4e00\u822c\u800c\u8a00\uff0c\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u5206\u6790\u67e5\u8be2\u4f1a\u770b\u5230\u663e\u8457\u7684\u6027\u80fd\u63d0\u5347\u3002\n- **\u8d44\u6e90\u6d88\u8017**\uff1a\u867d\u7136\u5411\u91cf\u5316\u6267\u884c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u67e5\u8be2\u6027\u80fd\uff0c\u4f46\u53ef\u80fd\u4f1a\u5bfc\u81f4\u5355\u4e2a\u67e5\u8be2\u5360\u7528\u66f4\u591a\u7684\u5185\u5b58\u8d44\u6e90\u3002\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\uff0c\u9700\u8981\u5e73\u8861\u8d44\u6e90\u5206\u914d\u548c\u67e5\u8be2\u6027\u80fd\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\n\n\u542f\u7528\u5411\u91cf\u5316\u6267\u884c\u662f\u63d0\u5347Hive\u67e5\u8be2\u6548\u7387\u7684\u6709\u6548\u624b\u6bb5\u4e4b\u4e00\uff0c\u5bf9\u4e8e\u7ecf\u5e38\u5904\u7406\u5927\u6570\u636e\u96c6\u7684\u7528\u6237\u800c\u8a00\uff0c\u6b63\u786e\u914d\u7f6e\u548c\u4f7f\u7528\u5411\u91cf\u5316\u67e5\u8be2\u6267\u884c\u53ef\u4ee5\u663e\u8457\u7f29\u77ed\u67e5\u8be2\u65f6\u95f4\u548c\u63d0\u9ad8\u6574\u4f53\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1213,"n_turns_in_conversation":9,"n_words":47,"source_row_offset":15529,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"8d15d8f4f1367e8f66f7ef65","turn_index":7,"user_text":"hive.vectorized.execution.enabled"},{"assistant_initiates":false,"asst_text":"\u5728Apache Hive\u4e2d\uff0c`hive.prewarm.enabled`\u914d\u7f6e\u9879\u7528\u4e8e\u63a7\u5236\u662f\u5426\u542f\u7528JVM\u9884\u70ed\u529f\u80fd\u3002\u8fd9\u4e2a\u529f\u80fd\u7684\u76ee\u7684\u662f\u4e3a\u4e86\u51cf\u5c11\u7531\u4e8eJVM\u542f\u52a8\u65f6\u95f4\u5bfc\u81f4\u7684\u5ef6\u8fdf\uff0c\u7279\u522b\u662f\u5728\u90a3\u4e9b\u6267\u884c\u8bb8\u591a\u5c0f\u67e5\u8be2\u7684\u73af\u5883\u4e0b\uff0cJVM\u542f\u52a8\u65f6\u95f4\u53ef\u4ee5\u6210\u4e3a\u4e00\u4e2a\u663e\u8457\u7684\u5f00\u9500\u3002\u5f53\u8fd9\u4e2a\u914d\u7f6e\u9879\u88ab\u8bbe\u7f6e\u4e3a`true`\u65f6\uff0cHive\u4f1a\u5728\u7cfb\u7edf\u542f\u52a8\u65f6\u542f\u52a8\u5e76\u9884\u70ed\u4e00\u5b9a\u6570\u91cf\u7684JVM\uff0c\u4ee5\u4fbf\u540e\u7eed\u67e5\u8be2\u53ef\u4ee5\u5feb\u901f\u4f7f\u7528\u8fd9\u4e9b\u5df2\u9884\u70ed\u7684JVM\uff0c\u4ece\u800c\u63d0\u9ad8\u67e5\u8be2\u7684\u54cd\u5e94\u901f\u5ea6\u3002\n\n### \u5982\u4f55\u4f7f\u7528\n\n\u4e3a\u4e86\u542f\u7528JVM\u9884\u70ed\u529f\u80fd\uff0c\u9700\u8981\u5c06`hive.prewarm.enabled`\u8bbe\u7f6e\u4e3a`true`\uff0c\u5e76\u4e14\u901a\u8fc7`hive.prewarm.numcontainers`\u914d\u7f6e\u9879\u6765\u6307\u5b9a\u8981\u9884\u70ed\u7684JVM\u6570\u91cf\u3002\u8fd9\u4e24\u9879\u914d\u7f6e\u901a\u5e38\u5728`hive-site.xml`\u914d\u7f6e\u6587\u4ef6\u4e2d\u8bbe\u7f6e\uff0c\u6216\u8005\u5728\u4f1a\u8bdd\u7ea7\u522b\u901a\u8fc7SET\u547d\u4ee4\u52a8\u6001\u8bbe\u7f6e\u3002\n\n```xml\n<!-- \u5728hive-site.xml\u4e2d\u8bbe\u7f6e -->\n<property>\n    <name>hive.prewarm.enabled</name>\n    <value>true</value>\n    <description>Enable JVM prewarming to reduce latency of first query</description>\n</property>\n<property>\n    <name>hive.prewarm.numcontainers</name>\n    <value>10</value> <!-- \u9884\u70ed\u7684JVM\u6570\u91cf -->\n    <description>Number of containers to keep prewarmed for Hive operations</description>\n</property>\n```\n\n\u6216\u8005\uff0c\u5728Hive CLI\u6216Beeline\u4e2d\u8bbe\u7f6e\uff1a\n\n```sql\nSET hive.prewarm.enabled=true;\nSET hive.prewarm.numcontainers=10; -- \u6839\u636e\u5b9e\u9645\u9700\u6c42\u8c03\u6574\u9884\u70ed\u7684JVM\u6570\u91cf\n```\n\n### \u6ce8\u610f\u4e8b\u9879\n\n- **\u8d44\u6e90\u4f7f\u7528**\uff1a\u9884\u70edJVM\u5c06\u4f1a\u5360\u7528\u8d44\u6e90\uff0c\u5305\u62ecCPU\u548c\u5185\u5b58\u3002\u5728\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\u4e2d\uff0c\u5f00\u542f\u8fd9\u4e2a\u529f\u80fd\u53ef\u80fd\u4f1a\u5f71\u54cd\u5176\u4ed6\u5e94\u7528\u7684\u6027\u80fd\uff0c\u56e0\u6b64\u9700\u8981\u6839\u636e\u8d44\u6e90\u60c5\u51b5\u548c\u67e5\u8be2\u9700\u6c42\u6765\u5e73\u8861\u3002\n- **\u9884\u70ed\u65f6\u95f4**\uff1a\u5728\u7cfb\u7edf\u542f\u52a8\u65f6\u9884\u70edJVM\u4e5f\u9700\u8981\u4e00\u5b9a\u7684\u65f6\u95f4\uff0c\u8fd9\u53ef\u80fd\u4f1a\u7a0d\u5fae\u5ef6\u957f\u7cfb\u7edf\u6574\u4f53\u7684\u542f\u52a8\u65f6\u95f4\u3002\n- **\u9002\u7528\u573a\u666f**\uff1a\u8fd9\u4e2a\u529f\u80fd\u66f4\u9002\u5408\u4e8e\u90a3\u4e9b\u7ecf\u5e38\u6267\u884c\u5c0f\u67e5\u8be2\u4e14\u5bf9\u67e5\u8be2\u54cd\u5e94\u65f6\u95f4\u6709\u4e25\u683c\u8981\u6c42\u7684\u73af\u5883\u3002\u5bf9\u4e8e\u6267\u884c\u5c11\u91cf\u5927\u67e5\u8be2\u7684\u573a\u666f\uff0c\u9884\u70ed\u7684\u597d\u5904\u53ef\u80fd\u4e0d\u660e\u663e\u3002\n\n\u7efc\u4e0a\u6240\u8ff0\uff0c`hive.prewarm.enabled`\u914d\u7f6e\u9879\u63d0\u4f9b\u4e86\u4e00\u79cd\u63d0\u9ad8Hive\u67e5\u8be2\u54cd\u5e94\u901f\u5ea6\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u9884\u70edJVM\u6765\u51cf\u5c11\u67e5\u8be2\u7684\u51b7\u542f\u52a8\u65f6\u95f4\u3002\u7136\u800c\uff0c\u4f7f\u7528\u65f6\u9700\u8981\u8003\u8651\u5230\u5b83\u5728\u8d44\u6e90\u6d88\u8017\u548c\u9002\u7528\u573a\u666f\u4e0a\u7684\u7279\u70b9\u548c\u9650\u5236\u3002","behavior":"degenerate_repetition","conversation_hash":"c25fc0a18c913c7aa34157b674e55c03","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Chinese","model":"gpt-4-0125-preview","n_chars":1219,"n_turns_in_conversation":9,"n_words":59,"source_row_offset":15530,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:17 GMT","turn_id":"403db950a274c9617bd51e2a","turn_index":8,"user_text":"hive.prewarm.enabled"},{"assistant_initiates":false,"asst_text":"Ce prompt est bien structur\u00e9 et offre une orientation claire sur le r\u00f4le, la fonction et le format attendu de la r\u00e9ponse. Cependant, il pourrait \u00eatre am\u00e9lior\u00e9 pour une pr\u00e9cision encore plus grande et pour \u00e9viter toute confusion potentielle. Voici quelques suggestions :\n\n1. **Clarification du contexte d'expertise** : Pr\u00e9ciser le domaine de recherche du chercheur pourrait rendre le prompt plus r\u00e9aliste et cibl\u00e9. Par exemple, \"Tu es chercheur renomm\u00e9 en [domaine sp\u00e9cifique] \u00e0 Harvard et Princeton.\"\n\n2. **Exemple de texte pour l'analyse** : Le prompt gagnerait \u00e0 inclure un exemple de texte ou au moins mentionner clairement que l'utilisateur est cens\u00e9 fournir un texte pour l'analyse. Ce pourrait \u00eatre fait en ajoutant une phrase comme : \"Tu recevras un texte sur lequel tu appliqueras ta critique et reformulation.\"\n\n3. **Pr\u00e9cision sur la longueur et la complexit\u00e9 du texte** : Donner une indication sur la longueur ou la complexit\u00e9 du texte attendu aiderait \u00e0 standardiser les r\u00e9ponses. Par exemple, \"Le texte en question sera un paragraphe de longueur moyenne traitant de [sujet sp\u00e9cifique].\"\n\n4. **Directives sur des exemples de critiques** : Pour aider l'utilisateur \u00e0 comprendre ce qui est attendu, le prompt pourrait inclure des exemples de types de critiques ou de reformulations souhait\u00e9es. Par exemple, \"Les critiques peuvent inclure des suggestions pour \u00e9viter le jargon, clarifier des points ambigus, ou corriger des erreurs factuelles.\"\n\n5. **Inclusion de crit\u00e8res d'\u00e9valuation** : D\u00e9finir ce qui rend une reformulation ou une critique \"bonne\" ou \"pr\u00e9cise\" pourrait aider \u00e0 guider les r\u00e9ponses. Par exemple, \"Une reformulation ou une critique r\u00e9ussie serait celle qui augmente la clart\u00e9 sans compromettre la pr\u00e9cision scientifique du texte.\"\n\n6. **Encouragement \u00e0 l'interdisciplinarit\u00e9** : Vu le profil multidisciplinaire impliqu\u00e9 (Harvard et Princeton), le prompt pourrait encourager l'utilisation d'approches interdisciplinaires dans les critiques et reformulations.\n\nEn r\u00e9sum\u00e9, pour am\u00e9liorer ce prompt, il serait utile de clarifier le domaine d'expertise du chercheur, de d\u00e9finir le texte \u00e0 analyser, de donner une id\u00e9e de la longueur et de la complexit\u00e9 attendues pour ce texte, de proposer des exemples de critiques, de d\u00e9finir les crit\u00e8res d'\u00e9valuation des reformulations, et d'encourager une approche interdisciplinaire. Ces ajustements rendraient le prompt plus engageant et efficace pour obtenir des r\u00e9ponses de qualit\u00e9.","behavior":"degenerate_repetition","conversation_hash":"94b2b0a2bab8ad86aee6ba0576124dbb","conversation_redacted":false,"conversation_toxic":false,"country":"France","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4-0125-preview","n_chars":2858,"n_turns_in_conversation":1,"n_words":425,"source_row_offset":15531,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:28 GMT","turn_id":"85df7b7b91a77a600a4f59f4","turn_index":0,"user_text":"Est-ce un bon prompt ? Comment l'am\u00e9liorer ? <role>Tu es chercheur renomm\u00e9 \u00e0 Harvard et Princeton.</role>\n<fonction>Propose des reformulations et des critiques cibl\u00e9es de certaines phrases du texte pour am\u00e9liorer sa pr\u00e9cision sa rigueur et sa clart\u00e9</fonction>\n<format>Ta r\u00e9ponse doit citer [un mot] ou [une phrase] ou [un paragraphe] du texte donn\u00e9 puis proposer une [reformulation] ou une [critique] </format>"},{"assistant_initiates":false,"asst_text":"Analyzing the data pertaining to the interplay between video games and human psychology requires a comprehensive approach that intertwines quantitative and qualitative methodologies to decode the multilayered aspects of motivations, effects, and therapeutic potentials of video games on individuals. The quantitative data, including surveys and questionnaires, shall be statistically analyzed using the SPSS software to identify patterns, correlations, and potentially causal relationships between video game usage and specific psychological outcomes (Pallant, 2020). This will be complemented by a thematic analysis of qualitative data gathered from interviews and open-ended survey responses, enabling the examination of personal accounts and experiences that highlight the nuanced psychological impacts of video gaming (Braun & Clarke, 2021).\n\nThe evaluation of problem-solving approaches within this context will involve assessing various video games' design and narrative aspects to understand their influence on players' psychological states. Insights from cognitive behavioral theory and positive psychology will provide a theoretical framework to interpret the relationship between gameplay mechanisms and their effects on human psychology (Seligman & Csikszentmihalyi, 2000).\n\nIn acknowledging current research and advanced scholarship, this study will incorporate findings from scholarly reviews and primary studies that offer a critical overview of the psychological effects of video games, and their potential for cognitive and emotional therapy (Granic, Lobel, & Engels, 2014). This will be underpinned by an in-depth investigation of the methodologies employed in existing research, aiming to apply robust and innovative methods to the study of video games and psychology.\n\nReference List:\nBraun, V., & Clarke, V. (2021). Thematic Analysis: A Practical Guide. SAGE.\n\nGranic, I., Lobel, A., & Engels, R. C. M. E. (2014). The benefits of playing video games. American Psychologist, 69(1), 66-78.\n\nPallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS. Routledge.\n\nSeligman, M. E. P., & Csikszentmihalyi, M. (2000). Positive Psychology: An Introduction. American Psychologist, 55(1), 5-14. \n\nPlease note that the reference list provided follows the Harvard referencing style and includes seminal works that would be fundamental in understanding and analyzing the interplay between video games and human psychology. However, it is important to ensure that the references are correctly formatted according to the specific requirements of the Harvard referencing style, including the use of italics for book titles and proper capitalization.","behavior":"degenerate_repetition","conversation_hash":"6ca18144d5fa2dc9ff6f4d314d4b158b","conversation_redacted":false,"conversation_toxic":false,"country":"United Kingdom","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4-0125-preview","n_chars":4190,"n_turns_in_conversation":2,"n_words":564,"source_row_offset":15532,"source_shard":"turns-00020.parquet","timestamp":"Tue, 16 Apr 2024 11:32:51 GMT","turn_id":"790492a1369262398edeaa5f","turn_index":0,"user_text":"Following this marking criteria:\n1. Knowledge and understanding full and detailed\nCan apply such knowledge\nAwareness of limitations of knowledge\nConfident discussion of basic topics\nIndependent thinking\nOriginal insights\n\n2. Presentation, evaluation and interpretation of data\nArguments/judgements are substantiated, well-defined and clearly articulated\nPresentation standard high\nLogically organised\n\n3. Evaluation of problem-solving approaches\nHighly successful in presenting and commenting on outcomes\nInsight on the relationship between theory and practice\n\n4. Awareness of current research/advanced scholarship\nThe use of scholarly reviews/primary sources is confident\nReferencing accurate and reading/investigation beyond sources provided\nBasic knowledge and understanding of research processes/techniques/methods and ability to apply them\n\n5. Results communicated accurately and reliably\nArguments structured, coherent, well developed, sustained and substantiated\nAssumptions challenged\nRecognition of the complexities of academic debate\nAppropriate solutions to problems are offered and reviewed\nStrong evidence of effective reflection on the student\u2019s practice and consideration for future development\n\nAs well as following the title of this dissertation project: The Interplay of Video Games and Human Psychology: An Insight into Motivations, Effects, and Therapeutic Potentials\nCan you write 300 words for data analysis procedures including REAL Harvard references with a reference list? "}],"shard":{"index":20,"name":"turns-00020.parquet","rows":90031}}