{"id":11269,"date":"2018-03-20T12:58:57","date_gmt":"2018-03-20T12:58:57","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=11269"},"modified":"2021-05-09T13:11:27","modified_gmt":"2021-05-09T07:41:27","slug":"impala-features","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/impala-features\/","title":{"rendered":"Best 15 Impala Features You Must Know"},"content":{"rendered":"

As we know to overcome the slowness of Hive<\/strong> Queries, Cloudera offers a separate tool what we call Impala<\/strong>. However, there are many more features of Impala, which makes it best. <\/span><\/p>\n

So, in this article, “Impala features”, we will discuss all Impala features in detail. But before that, we will also learn brief Introduction to Impala to understand it well.\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/span><\/p>\n

What is Impala?<\/span><\/h2>\n

Basically, an open source project which is opening up the Apache Hadoop software stack to a wide audience of database analysts, users, and developers. <\/span><\/p>\n

Also, we can perform interactive, ad-hoc and batch queries together in the Hadoop system, by using Impala\u2019s MPP (M-P-P) style execution along with other Hadoop processing MapReduce frameworks.<\/span><\/p>\n

Basically, for SQL queries distributed across clusters of connected machines the Impala software is written from the ground up for high performance.<\/span><\/p>\n

Best Impala Features<\/span><\/h2>\n

There are several features of Impala, let\u2019s discuss all the Impala features one by one\u2212<\/span><\/p>\n

a. Open Source<\/h3>\n

Basically, under the Apache license, Impala is available freely as open source.<\/span><\/p>\n

b. In-memory Processing<\/h3>\n

While it’s come to processing, Cloudera Impala supports in-memory data processing. That implies without any data movement it accesses\/analyzes data that is stored on Hadoop<\/strong> data nodes.<\/span><\/p>\n

c. Easy Data Access<\/h3>\n

However, using SQL-like queries, we can easily access data using Impala. Moreover, Impala offers Common data access interfaces. That includes:<\/span>
\ni. JDBC driver.<\/span>
\nii. ODBC driver.<\/span><\/p>\n

d. Faster Access<\/h3>\n

While we compare Impala to another SQL engines, Impala offers faster access to the data in HDFS<\/strong>.<\/span><\/p>\n

e. Storage Systems<\/h3>\n

We can easily store data in storage systems such as HDFS, Apache HBase<\/strong>, and Amazon s3.<\/span>
\ni. HDFS file formats:<\/strong>\u00a0Delimited text files, Parquet, Avro, SequenceFile, and RCFile.<\/span>
\nii. Compression codecs:<\/strong> Snappy, GZIP, Deflate, BZIP.<\/span><\/p>\n

f. Easy Integration<\/h3>\n

It is possible to integrate Impala with business intelligence tools such as Tableau, Pentaho, Micro strategy, and Zoom data.<\/span><\/p>\n

g. File Formats<\/h3>\n

There are several file formats which Impala supports like LZO, Sequence File, Avro, RCFile, and Parquet.<\/span><\/p>\n

h. Drivers from Hive<\/h3>\n

There is one advantage, Impala uses from Hive<\/strong>. That is its metadata, ODBC driver, and SQL syntax.<\/span><\/p>\n

i. Joins and Functions<\/h3>\n

Including SELECT, joins, and aggregate functions, Impala offers most common SQL-92 features of Hive Query Language <\/strong>(HiveQL).<\/span><\/p>\n

j. Developed<\/h3>\n

Basically, Cloudera Impala is written in C++ and Java languages<\/strong>.<\/span><\/p>\n

k. Relational model<\/h3>\n

One of the major points is Impala follows the Relational model.<\/span><\/p>\n

l. Data Model<\/h3>\n

However, Impala\u2019s data model is Schema-based in nature.<\/span><\/p>\n

m. API\u2019s<\/h3>\n

While it comes to API\u2019s, Impala offers JDBC and ODBC API\u2019s.<\/span><\/p>\n

n. Languages Support<\/h3>\n

Moreover, it supports all languages supporting JDBC\/ODBC.<\/span><\/p>\n

o. High Performance<\/h3>\n

While we compare Impala to another SQL engines, Impala offers high performance and low latency for Hadoop.<\/span><\/p>\n

p. Query UI<\/h3>\n

Moreover, it supports, Hue Beeswax and the Cloudera Impala Query UI.<\/span><\/p>\n

q. CLI<\/h3>\n

It supports Impala-shell command<\/strong>-line interface.<\/span><\/p>\n

r. Authentication<\/h3>\n

Also, it offers Kerberos authentication.<\/span><\/p>\n

Conclusion<\/span><\/h2>\n

As a result, we have seen all the Impala features which make it best. Still, if any query occurs regarding, feel free to ask in the comment section.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

As we know to overcome the slowness of Hive Queries, Cloudera offers a separate tool what we call Impala. However, there are many more features of Impala, which makes it best. So, in this...<\/p>\n","protected":false},"author":6,"featured_media":18951,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[1844,4601,6487,8101,15758],"class_list":["post-11269","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-impala","tag-best-features-of-impala","tag-features-of-impala-hadoop","tag-impala-characteristics","tag-latest-impala-features","tag-what-is-impala"],"yoast_head":"\nBest 15 Impala Features You Must Know - DataFlair<\/title>\n<meta name=\"description\" content=\"Apache Impala Features,What are Features of Impala, What is Impala, Open Source, Easy Data Access, Storage Systems,Authentication,Query UI,Imapla Data Model\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/impala-features\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best 15 Impala Features You Must Know - 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