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
[edit]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
[edit]Source:[5]
Expand
[edit]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
[edit]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
[edit]Use the GROUP expression to group one or more input arrays on a grouping key and applies an aggregate function per group.
Join
[edit]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
[edit]Use the SORT operator to sort an input by one or more fields.
Top
[edit]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
[edit]Use the TRANSFORM operator to realize a projection or to apply a function to all items of an output.
See also
[edit]References
[edit]- ^ 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