What is the difference between Apache Pig and Apache Hive?
2012年4月23日 · Hive used for reporting & PIG for programming. Hive used as a declarative SQL & PIG used as procedural language. Hive supports partitions & PIG does not. Hive can start an optional thrift based server & PIG can't. Hive defines tables before hand (schema) + stores schema information in database and PIG don't have dedicated metadata of database
Difference between Pig and Hive? Why have both? [closed]
2010年7月29日 · Hive supports partitions & PIG does not. Hive defines tables with (schema) and stores schema information in a database & PIG doesn't have a dedicated metadata of database. Pig also supports additional COGROUP feature for performing outer joins but hive does not. But both Hive & PIG can join, order & sort dynamically.
When to use Hadoop, HBase, Hive and Pig? - Stack Overflow
The choice between Pig and Hive is also pivoted on the need of the client or server-side scripting, required file formats, etc. Pig supports Avro file format which is not true in the case of Hive. The choice for 'procedural dataflow language' vs 'declarative data flow language' is also a strong argument for the choice between pig and hive.
hadoop - Performance: Pig vs Hive - Stack Overflow
2013年7月2日 · Hive's Join implementation is less efficient than Pig. I have no idea why Hive needs to create so many objects (Such operations are very slow and should have been avoided) in the Join implementation. I think that's why Hive does Join more slowly than Pig. If you are interested in it, you can check the CommonJoinOperator code by yourself. So I ...
Is hive, Pig or Impala used from command line only?
2016年8月10日 · The Hive (and Pig) languages are typically used to talk to a Hive database. Besides this, it is also possible to talk to the hive database via a link (JDBC/ODBC). This could be done directly from anywhere, so you could let a java program make a JDBC connection to talk to your Hive tables.
Difference between hive,pig,map-reduce use cases
Difference between map-reduce ,hive ,pig . pig : its a data flow language, it can work on any data basically used to convert semi structure ,unstructured data to structure so that can be used in hive advance analytics using windowing function etc.
storing pig output into Hive table in a single instance
2015年7月9日 · STORE final_data INTO 'Hive_table_name' using org.apache.hive.hcatalog.pig.HCatStorer(); But before storing the data, make sure the columns in the 'final_data' dataset is perfectly matched and mapped with the schema of the table. And run your pig script like this : pig script.pig -useHCatalog
Hadoop's Hive/Pig, HDFS and MapReduce relationship
2015年11月21日 · Smeeb, Pig,Hive does same thing , I mean processing data which comes in files or what ever format. here if you want to process data present in RDMS, first get that data to HDFS with help of Sqoop(SQL+HADOOP). Hive used HQL like SQL to process, Pig uses kind flow with help of piglatin.
When should one use MapReduce instead of Pig/Hive?
2014年3月23日 · Pig and Hive are more for scripts, and thus more volatile and harder to debug. Setting up proper logging and monitoring in MR allows for more robust programs. You don't have to stick to Java MR to do MR, frameworks like Scalding and Cascading streamline a huge amount while still giving you the flexibility to drop down into the lower levels to ...
Hadoop, Hive, Pig, HBase, Cassandra - when to use what?
Hive,Pig: They are good for batch processes, running periodically (maybe in terms of hours or days) HBase & Cassandra: Support low latency calls. So they can be used for real time applications, where response time is key. Have a look at this discussion to get a better idea about HBase vs Cassandra.