![]() ![]() Format_number started supporting the decimal data type. Spark SQL was introduced to be working with HIVE we can also use the hive with HBASE. Exchange partition was introduced in the Hive version. We had the ability to define functions with HQL. The contents in the scratch directories were cleaned up now. This data type made it easy for a date to be inserted in the hive columns. This release for Hive added a new Data Type Date. Also inserting multiple overwrite into multiple tables was storing the same results in all the tables that were also handled in this release over. ![]() While mixing Avro and snappy null values was returned, this bug was also solved in this release. Map joins were not giving the correct results, under java 7 hive compiler showed issue these were the major bug that was handled in this version. The server was going on a SHUTDOWN state every time the incorrect queries were executed, that was a major change introduced over this version. Released in Aug 2014, this version of hive fixed the major bugs for a hive that was encountered have 0.10 version released. Several bugs as described as syntax was not supported, memory leakage was there, and the null pointer except by nested UDF’s so these bugs were resolved, and the newer version of Hive 0.10 was introduced. This version of hive fixed several noted down issues as the release came sooner after the 0.9 version. So there were lots of these types of bugs that were introduced in this version of the hive. Hdfs was hardcoded that came to be as the barrier for the use of other file systems. The get schema() function was not returning the correct schema for Explain queries. Working with Map Reduce version 2.x,3.x a lot more functionalities were introduced, and the bug was solved. this was the initial version with the release date as. Hive version 0.9.0 fixed the bug for timestampWritable.java that was causing data corruption. Hadoop, Data Science, Statistics & others 1. ![]()
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