A.HDFS

B.Hbase

C.DataNode

D.NameNode

A.Configure the connection mode of the job and the external data source

B.Configure the connection mode the job and the internal data source

C.Confirm that there are conversion steps

D.Provide optimized parameters to improve the performance of data import and export

A.carbon is a new type of Apache Hadoop local file format that uses advanced columnar storage, indexing, compression, and encoding technologies to improve computing efficiency, help speed up data queries over petabytes, and can be used for faster interaction Inquire.

B.Carbon uses a combination of lightweight compression and heavyweight compression to compress data, which can reduce data storage space by 60%-80% and greatly save hardware storage costs.

C.Carbon is also a high-performance analysis engine that integrates data sources with spark.

D.The purpose of using carbon is to provide super-fast response to ad hoc queries on big data.

A.True

B.False

A.Support threshold control of the number of connections established by a specific user

B.Support threshold control of the total number of established connections

C.Support threshold control of the number of connections established per unit time

D.Support threshold control of the number of connections that each user has established