hive big data

Research on Big Data de-duplication in hive inventory table: store incremental table: inre field: 1. p_key remove duplicate primary key 2. w_sort sort by 3.info other information method 1 (unionall + row_number () over): insertoverwritetablelimao_storeselectp_key, sort_wordfrom (selecttmp1. *, row_num Research on Big

In the process of optimizing the shuffle stage, the problem of data skew is encountered, which results in the less obvious optimization effect in some cases. The main reason is that after job completion the resulting counters is the sum of the entire job, the optimization is based on the average of these counters, and because of the data skew caused by the map processing

During the optimization process in the shuffle stage, the data skew problem is encountered, which makes the optimization effect less obvious in some cases. The main reason is that the counters obtained after the job is completed are the sum of the entire job, and the optimization is based on the average value obtained by these counters. However, the difference in the data volume processed by map is too larg

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Partitioning is a way in which hive stores data. Storing a column value as a directory for data is a partition. In this way, the query uses the partition column to filter, simply scan the corresponding directory data according to the column values, do not scan other not concerned about the partition, fast location, imp

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kylin2.3 version enables JDBC data sources (you can generate hive tables directly from SQL, eliminating the hassle of manually conducting data to hive and building hive tables)DescriptionThe JDBC data source, which is essentially

transferred from: http://blog.csdn.net/lifuxiangcaohui/article/details/40588929Hive is based on the Hadoop distributed File system, and its data is stored in a Hadoop Distributed file system. Hive itself does not have a specific data storage format and does not index the data, only the column separators and row separat