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What is Trevni file?

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What is Trevni file?

Version 0.1. DRAFT. This document is the authoritative specification of a file format. Its intent is to permit compatible, independent implementations that read and/or write files in this format.

What is parquet file format?

Parquet is an open source file format built to handle flat columnar storage data formats. Parquet operates well with complex data in large volumes.It is known for its both performant data compression and its ability to handle a wide variety of encoding types.

What is Hadoop file format?

Below are some of the most common formats of the Hadoop ecosystem:

  • Text/CSV. A plain text file or CSV is the most common format both outside and within the Hadoop ecosystem.
  • SequenceFile. The SequenceFile format stores the data in binary format.
  • Avro.
  • Parquet.
  • RCFile (Record Columnar File)
  • ORC (Optimized Row Columnar)
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What are different file formats in hive?

Apache Hive Different File Formats:TextFile, SequenceFile, RCFile, AVRO, ORC,Parquet. Apache Hive supports several familiar file formats used in Apache Hadoop. Hive can load and query different data file created by other Hadoop components such as Pig or MapReduce.

Why is Parquet faster?

Parquet is built to support flexible compression options and efficient encoding schemes. As the data type for each column is quite similar, the compression of each column is straightforward (which makes queries even faster).

Which file format is best in hive?

ORC files
Using ORC files improves performance when Hive is reading, writing, and processing data comparing to Text,Sequence and Rc. RC and ORC shows better performance than Text and Sequence File formats.

What are the important design decisions in choosing the file formats?

One of the key design decisions is regarding file formats based on:

  • Usage patterns like accessing 5 columns out of 50 columns vs accessing most of the columns.
  • Splittability to be processed in parallel.
  • Block compression saving storage space vs read/write/transfer performance.
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Why is Parquet format preferred?

Parquet is an open source file format for Hadoop. Parquet stores nested data structures in a flat columnar format compared to a traditional approach where data is stored in row-oriented approach, parquet is more efficient in terms of storage and performance.

How many file formats are there in Hive?

Hive and Impala table in HDFS can be created using four different Hadoop file formats: Text files. Sequence File. Avro data files.