Schema Evolution Examples
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Example 1: Adding a New Field to an Avro Schema
Consider an Avro schema product
with the fields id
and color
:
{"type": "record","name": "product","fields": [{ "name": "id", "type": "long"},{ "name": "color", "type": [ "null","string" ]}]}
The fields are loaded into the SingleStoreDB table t
through the Pipeline via the following commands:
CREATE TABLE t(id BIGINT DEFAULT 0, color VARCHAR(30) DEFAULT NULL, input_record JSON DEFAULT NULL);CREATE PIPELINE p AS LOAD DATA FS "/path/to/files/data.avro"INTO TABLE tFORMAT AVROSCHEMA REGISTRY "your_schema_registry_host_name_or_ip:your_schema_registry_port"(id <- %::id,color <- %::color,input_record <- %);
Now, the Avro schema evolves with a new field price
:
{"type": "record","name": "product","fields": [{ "name": "id", "type": "long"},{ "name": "color", "type": [ "null", "string" ]}{ "name": "price", "type": "float" }]}
To reflect the addition of the new field, you need to first update the table t
along with the default value of the new field age
:
ALTER TABLE t ADD field price FLOAT DEFAULT NULL;
Using the CREATE OR REPLACE PIPELINE
command, update the Pipeline to load the new field.
CREATE OR REPLACE PIPELINE p AS LOAD DATA FS "/path/to/files/data.avro"INTO TABLE tFORMAT AVROSCHEMA REGISTRY "your_schema_registry_host_name_or_ip:your_schema_registry_port"(id <- %::id,color <- %::color,price <- %::price DEFAULT NULL,input_record <- %);
Populating the Pipeline’s Target Table with a Default Value
If, prior to updating the Avro schema to include the new field price
, you updated the Pipeline and its target table to include the field, the table’s field would be populated with the DEFAULT
value.ALTER
statement that alters the table (DEFAULT NULL
in this example), or in the CREATE OR REPLACE PIPELINE
statement that alters the Pipeline (DEFAULT NULL
in this example).DEFAULT
value is specified in both places, as in this example, the table’s DEFAULT
value is used.DEFAULT
value is specified in neither place, an error is thrown.
Example 2: Removing a Field from an Avro Schema
Consider an Avro schema product
with the fields id
, item
, and price
:
{"type": "record","name": "product","fields": [{ "name": "id", "type": "long"},{ "name": "color", "type": [ "null", "string" ]}{ "name": "price", "type": "float" }]}
Load the schema into the SingleStoreDB table t
through the Pipeline by the following command:
CREATE OR REPLACE PIPELINE p AS LOAD DATA FS "/path/to/files/data.avro"INTO TABLE tFORMAT AVROSCHEMA REGISTRY "your_schema_registry_host_name_or_ip:your_schema_registry_port"(id <- %::id,color <- %::color,price <- %::price,input_record <- %);
Now, the Avro schema evolves by no longer containing the field price
:
{"type": "record","name": "data","fields": [{ "name": "id", "type": "long"},{ "name": "color", "type": [ "null", "string" ]}}
Run the following commands in sequence to evolve the schema:
STOP PIPELINE DETACH p;
Note: The DETACH
option in the STOP PIPELINE
command allows to temporarily stop a pipeline in order to make changes to a source table to remove a field.
ALTER TABLE t REMOVE field age;
CREATE OR REPLACE PIPELINE p AS LOAD DATA FS "/path/to/files/data.avro"INTO TABLE tFORMAT AVROSCHEMA REGISTRY ""(id <- %::id,color <- %::color,input_record <- %);
START PIPELINE p;
Example 3: Connecting to Confluent Schema Registry Over SSL
Note
This example only applies to SingleStoreDB 7.
The following example shows how to connect to Confluent Schema Registry over SSL, using the SSL configuration settings in the CONFIG
and CREDENTIALS
clauses of CREATE PIPELINE
.
CREATE OR REPLACE PIPELINE p AS LOAD DATA FS "/path/to/files/data.avro"INTO TABLE tFORMAT AVROSCHEMA REGISTRY ""(id <- %::id,color <- %::color,input_record <- %);CONFIG '{"schema.registry.ssl.certificate.location": "/var/private/ssl/client_memsql_client.pem","schema.registry.ssl.key.location": "/var/private/ssl/client_memsql_client.key","schema.registry.ssl.ca.location": "/var/private/ssl/ca-cert.pem"}'CREDENTIALS '{"schema.registry.ssl.key.password": "abcdefgh"}'
START PIPELINE p;
Note
You can use a subset of the `ssl.
-
schema.
,registry. ssl. key. location schema.
, andregistry. ssl. ca. location schema.
registry. ssl. key. password -
schema.
,registry. ssl. certificate. location schema.
, andregistry. ssl. key. location schema.
registry. ssl. key. password
schema.
is only required if your SSL certificate key has a password.
Last modified: September 5, 2023