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https://issues.apache.org/jira/browse/CASSANDRA-7970?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14267990#comment-14267990
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Les Hartzman commented on CASSANDRA-7970:
-----------------------------------------
Reading through the proposals, I can understand the idea of providing some
flexibility. But I think that it would be wrong to allow for numeric values to
be implicitly converted to strings. It seems that this came up from the idea of
converting a map<int, text> structure into JSON. But what was the purpose of
this enhancement to begin with? It seemed to me that the purpose of this was to
allow for the storage and retrieval of JSON in a columnar format as opposed to
a CLOB. If the focus remains solely on the reading and writing of 'normal'
JSON, there is no issue.
I think that this issue has expanded beyond what was intended: "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."
> 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
>
>
> 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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