Jaql
Paradigm | Functional |
---|---|
Designed by | Vuk Ercegovac (Google) |
First appeared | October 9, 2008 |
Stable release | 0.5.1
/ July 12, 2010 |
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[1] but the latest release was on 2010-07-12. IBM[2] 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[3] to other BigData query languages like PIG Latin and Hive QL illustrates performance and usability aspects of these technologies.
Jaql supports[4] 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[5]
Expand
Use the EXPAND expression to flatten nested arrays. This expression takes as input an array of nested arrays [ [ T ] ] and produces an output array [ T ], 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
External links
- Definition of the JAQL language
- JAQL Introduction
- Comparison against HIVE and PIG
- Adaptive Processing of User-Defined Aggregates in Jaql
Original source: https://en.wikipedia.org/wiki/Jaql.
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