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Apache Solr Streaming Expressions

The Structure Query Language (SQL)  engine is built on top of Solr’s Streaming API or streaming  expressions. Streaming expression provides a simple and powerful stream processing language for Solr cloud and Its support for parallel relational algebra and real-time map-reduce.

Distributed Joins: Streaming expressions are added to distributed joins.

  • Inner Join
  • Left Outer Join
  • Hash Join
  • Outer Hash Join

Example:

innerJoin(search(collection1, q=*:*, fl=”fieldP, fieldQ, fieldR”, …),

  search(collection2, q=*:*, fl=”fieldP, fieldM, fieldN”, …),

  on=”fieldP=fieldP”)

Rolling streaming expression: It is a group of  the common field value tuple.

Example:

rollup(search(collection1, qt=”/export”

             q=”*:*”,

             fl=”id,course,price”,

             sort=”course asc”),

       over=”course”),

       count(*),

       max(price))

Facet streaming expression: It pushes down the computation using  json.

Example: facet(intellipaat_courses,

            q=”*:*”,

            buckets=”course”,

            bucketSorts=”count(*) desc”,

            bucketSizeLimit=1000,

            count(*),

            sum(price),

            max(popularity))

There are many available functions.

  • Continuous push streaming
  • Continuous pull streaming
  • Request/Response streaming
  • MapReduce is shuffling aggregation
  • Pushdown faceted aggregation
  • Parallel relational algebra (distributed joins, intersections, unions, complements)
  • Publish/subscribe messaging
  • Distributed graph traversal

This blog will help you get a better understanding of Solr + Hadoop = Big Data Love

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