Paradigm | Functional |
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Designed by | Vuk Ercegovac (Google) |
First appeared | October 9, 2008; 16 years ago (2008-10-09) |
Stable release | 0.5.1 / July 12, 2010; 14 years ago (2010-07-12) |
Implementation language | Java |
OS | Cross-platform |
License | Apache License 2.0 |
Website | code |
Major implementations | |
IBM BigInsights |
Jaql (pronounced "jackal") is a functional data processing and query language most commonly used for JSON query processing on big data.
It started as an open source project at Google but the latest release was on 2010-07-12. IBM took it over as primary data processing language for their Hadoop software package BigInsights.
Although having been developed for JSON it supports a variety of other data sources like CSV, TSV, XML.
A comparison to other BigData query languages like PIG Latin and Hive QL illustrates performance and usability aspects of these technologies.
Jaql supports lazy evaluation, so expressions are only materialized when needed.
Syntax
The basic concept of Jaql is
source -> operator(parameter) -> sink ;
where a sink can be a source for a downstream operator. So typically a Jaql program has to following structure, expressing a data processing graph:
source -> operator1(parameter) -> operator2(parameter) -> operator2(parameter) -> operator3(parameter) -> operator4(parameter) -> sink ;
Most commonly for readability reasons Jaql programs are linebreaked after the arrow, as is also a common idiom in Twitter Scalding:
source -> operator1(parameter) -> operator2(parameter) -> operator2(parameter) -> operator3(parameter) -> operator4(parameter) -> sink ;
Core operators
Source:
Expand
Use the EXPAND expression to flatten nested arrays. This expression takes as input an array of nested arrays ] and produces an output array , by promoting the elements of each nested array to the top-level output array.
Filter
Use the FILTER operator to filter away elements from the specified input array. This operator takes as input an array of elements of type T and outputs an array of the same type, retaining those elements for which a predicate evaluates to true. It is the Jaql equivalent of the SQL WHERE clause. Example:
data = [ {name: "Jon Doe", income: 20000, manager: false}, {name: "Vince Wayne", income: 32500, manager: false}, {name: "Jane Dean", income: 72000, manager: true}, {name: "Alex Smith", income: 25000, manager: false} ]; data -> filter $.manager; [ { "income": 72000, "manager": true, "name": "Jane Dean" } ] data -> filter $.income < 30000; [ { "income": 20000, "manager": false, "name": "Jon Doe" }, { "income": 25000, "manager": false, "name": "Alex Smith" } ]
Group
Use the GROUP expression to group one or more input arrays on a grouping key and applies an aggregate function per group.
Join
Use the JOIN operator to express a join between two or more input arrays. This operator supports multiple types of joins, including natural, left-outer, right-outer, and outer joins.
Sort
Use the SORT operator to sort an input by one or more fields.
Top
The TOP expression selects the first k elements of its input. If a comparator is provided, the output is semantically equivalent to sorting the input, then selecting the first k elements.
Transform
Use the TRANSFORM operator to realize a projection or to apply a function to all items of an output.
See also
References
- Original Jaql project
- Initial Publication
- Stewart, Robert J.; Trinder, Phil W.; Loidl, Hans-Wolfgang (2011). "Comparing High Level MapReduce Query Languages". Advanced Parallel Processing Technologies. Lecture Notes in Computer Science. Vol. 6965. pp. 58–72. doi:10.1007/978-3-642-24151-2_5. ISBN 978-3-642-24150-5.
- JAQL in Hadoop, a brief introduction
- IBM BigInsights Documentation
External links
- Definition of the JAQL language
- JAQL Introduction
- Comparison against HIVE and PIG
- Adaptive Processing of User-Defined Aggregates in Jaql
Query languages | |
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In current use | |
Proprietary | |
Superseded |