A.hive.exec.max.dynamic.partitions

B.hive.exec-ducers.max

C.hive.exec.reducers.bytes.per.reducer

D.hive.exec.max.dynamic.partitions.pernode

A.Split the data and send the data to different destinations according to the characteristics of the data

B.Output data to destination, support multiple output protocols

C.Cache data and save the data in memory or files according to different reliability strategies

D.Obtain data and convert the original data into data objects that you process

A.Build a queue system, such as a message queue

B.Simulate stack operation

C.uniq operation, for example, get the weight value of all data in a certain period of time

D.Get the latest N data operations: for example, get the latest 10 comments on a Weibo

A.SolrlnputDocument doc = new SolrlnputDocument(); doc.addField ("id", i.toString()); doc.addField ("name", "Zhang San" + i); doc.addField ("features", "test" + ); doc.addField ("price", (float) i * 1.01); cloudSolrClient.add (doc); cloudSolrClient.commit();

B.if (updateRequest.getDocumentsMap().size() >= 10000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }

C.if (updateRequest.getDocuments().size() >= 1000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }

D.lbClient.setRequestWriter (new BinaryRequestWriter());

A.The run command can make the job status RUNNING

B.The kill command can be used on jobs in PREP/SUSPEND/RUNNING status

C.The submit command can change the status of the job to PREP

D.The start command can make the job in the PREP state become RUNNING