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Simple example flow for extracting JSON data using a landing table with a Materialized View

· 2 min read


How do I work with JSON message using a source or landing table to extract with a Materialized View?
How do I work with JSON without the experimental JSON Object?


A common pattern to work with JSON data is to send the data to a landing table and use JSONExtract functions to pull the data onto a new table using a Materialized View trigger. This is normally done in the following flow and pattern:

source data --> MergeTree table --> Materialized View (with base table) --> application/client

The landing table should have a raw string field where you would store the raw json. It should also have one to two other fields that can be used for management of that table so that it could be partitioned and trimmed as the data ages.

*some integrations can add fields to the original data for example if using the ClickHouse Kafka Connector Sink.

Simplified example below:

  • create the example database
create database db1;
  • create a landing table where your raw json will be inserted:
create table db1.table2_json_raw
id Int32,
timestamp DateTime,
raw String
engine = MergeTree()
order by timestamp;
  • create the base table for the materialized view
create table db1.table2_json_mv_base
id Int32,
timestamp DateTime,
raw_string String,
custId Int8,
custName String
engine = MergeTree()
order by timestamp;
  • create the materialized view to the base table
create materialized view db1.table2_json_mv to db1.table2_json_mv_base
raw as raw_string,
simpleJSONExtractRaw(raw, 'customerId') as custId,
simpleJSONExtractRaw(raw, 'customerName') as custName
  • insert some sample rows
 insert into db1.table2_json_raw
(1, '2024-05-16 00:00:00', '{"customerId":1, "customerName":"ABC"}'),
(2, '2024-05-16 00:00:01', '{"customerId":2, "customerName":"XYZ"}');
  • view the results from the extraction and the materialized view that would be used in the queries
clickhouse-cloud :) select * from db1.table2_json_mv;

FROM db1.table2_json_mv

Query id: 12655fd3-567a-4dfb-9ef7-abc4b11ad044

│ 1 │ 2024-05-16 00:00:00 │ {"customerId":1, "customerName":"ABC"} │ 1 │ "ABC" │
│ 2 │ 2024-05-16 00:00:01 │ {"customerId":2, "customerName":"XYZ"} │ 2 │ "XYZ" │

Additional Reference links:
Materialized Views:
Working with JSON:
JSON functions: