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https://issues.apache.org/jira/browse/CASSANDRA-7970?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14304072#comment-14304072
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Robert Stupp commented on CASSANDRA-7970:
-----------------------------------------
Heh - yes, I meant a unit test.
bq. follow-up that both allows VALUES and JSON
Understand your point. Sure - it would be too much syntactic foo just for a
partition key. But I can imagine situations where some values are collected via
JSON and "enriched" by the application code. Maybe some IoT data from sensors
that can be passed to the table "as is" in JSON plus some enrichment done by
the application (e.g. adding location of the sensors). For example sensors that
emit {{wind_direction}} and {{wind_speed}} in JSON format - the collecting
application could enrich it with {{sample_timestamp}} and {{gps_coordinates}}
using "conventional" {{VALUES}} syntax.
> JSON support for CQL
> --------------------
>
> Key: CASSANDRA-7970
> URL: https://issues.apache.org/jira/browse/CASSANDRA-7970
> Project: Cassandra
> Issue Type: New Feature
> Components: API
> Reporter: Jonathan Ellis
> Assignee: Tyler Hobbs
> Fix For: 3.0
>
> Attachments: 7970-trunk-v1.txt
>
>
> JSON is popular enough that not supporting it is becoming a competitive
> weakness. We can add JSON support in a way that is compatible with our
> performance goals by *mapping* JSON to an existing schema: one JSON documents
> maps to one CQL row.
> Thus, it is NOT a goal to support schemaless documents, which is a misfeature
> [1] [2] [3]. Rather, it is to allow a convenient way to easily turn a JSON
> document from a service or a user into a CQL row, with all the validation
> that entails.
> Since we are not looking to support schemaless documents, we will not be
> adding a JSON data type (CASSANDRA-6833) a la postgresql. Rather, we will
> map the JSON to UDT, collections, and primitive CQL types.
> Here's how this might look:
> {code}
> CREATE TYPE address (
> street text,
> city text,
> zip_code int,
> phones set<text>
> );
> CREATE TABLE users (
> id uuid PRIMARY KEY,
> name text,
> addresses map<text, address>
> );
> INSERT INTO users JSON
> {‘id’: 4b856557-7153,
> ‘name’: ‘jbellis’,
> ‘address’: {“home”: {“street”: “123 Cassandra Dr”,
> “city”: “Austin”,
> “zip_code”: 78747,
> “phones”: [2101234567]}}};
> SELECT JSON id, address FROM users;
> {code}
> (We would also want to_json and from_json functions to allow mapping a single
> column's worth of data. These would not require extra syntax.)
> [1] http://rustyrazorblade.com/2014/07/the-myth-of-schema-less/
> [2] https://blog.compose.io/schema-less-is-usually-a-lie/
> [3] http://dl.acm.org/citation.cfm?id=2481247
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