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Tag: hive

Hive tutorial 9 – Hive performance tuning using join optimization with common, map, bucket and skew join

August, 2017 adarsh

Common join The common join is also called reduce side join. It is a basic join in Hive and works…

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Posted in: Data Analytics, Hive, performance tuning Filed under: hive, hive performance tuning

Hive tutorial 8 – Hive performance tuning using Job and query optimization with local mode, jvm reuse and parallel execution

adarsh

Local mode Hadoop can run in standalone, pseudo-distributed, and fully distributed mode. Most of the time, we need to configure…

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Posted in: Data Analytics, Hive, performance tuning Filed under: hive, hive performance tuning

Hive tutorial 8 – Hive performance tuning using data file optimization using file format, compression and storage optimization

adarsh

Hive supports TEXTFILE, SEQUENCEFILE, RCFILE, ORC, and PARQUET file formats. The three ways to specify the file format are as…

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Posted in: Data Analytics, Hive Filed under: hive, hive performance tuning

Hive tutorial 7 – Hive performance tuning design optimization partitioning tables,bucketing tables and indexing tables

adarsh

Hive partitioning is one of the most effective methods to improve the query performance on larger tables. The query with…

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Posted in: Data Analytics, Hive, performance tuning Filed under: hive, hive performance tuning

Hive tutorial 7 – Hive performance tuning explain and analyze utilities

adarsh

Hive provides an EXPLAIN command to return a query execution plan without running the query. We can use an EXPLAIN…

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Posted in: Data Analytics, Hive, performance tuning Filed under: hive, hive performance tuning

Hive tutorial 6 – Analytic functions RANK, DENSE_RANK, ROW_NUMBER, CUME_DIST, PERCENT_RANK, NTILE, LEAD, LAG, FIRST_VALUE, LAST_VALUE and Sampling

adarsh

Analytic functions are usually used with OVER, PARTITION BY, ORDER BY, and the windowing specification. Standard aggregations – COUNT(), SUM(),…

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Posted in: Data Analytics, Hive Filed under: hive

Hive tutorial 5 – Hive Data Aggregation GROUP BY, CASE, COALESCE, Distinct, Grouping SETS, ROLLUP, CUBE, HAVING

adarsh

Hive offers several built-in aggregate functions, such as MAX, MIN, AVG, and so on. Hive also supports advanced aggregation by…

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Posted in: Data Analytics, Hive Filed under: hive

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