Add VectorType support to CDC connector

[aymkhalil]

Minimal CDC connector patch to support vector type. Please note:

• I have to do custom changes to the agent locally in order to run with C vsearch branch locally. However, this patch only adds support on the Connector. A new agent version is required once the artifacts of DSE7 (dse-db) and C5 (cassanda-all) artifacts are released. As long as the Vector Type is not part of the Primary Key, the agent doesn't require any changes.
• Integration tests needs docker images build. Will send follow up PRs as those images become available.
• Codecs PR from the messaging commons package were not necessary as the VectorType is explicitly read as via the row.getCqlVector(fieldName) API
• The resulting schema on the data topic is captured in this example (not the item_vector field in the value section):

  {
  "version": 0,
  "schemaInfo": {
  "name": "data-ks1.embeddings",
  "schema": {
    "key": {
      "name": "embeddings",
      "schema": {
        "type": "record",
        "name": "embeddings",
        "namespace": "ks1",
        "doc": "Table ks1.embeddings",
        "fields": [
          {
            "name": "id",
            "type": "int"
          }
        ]
      },
      "type": "AVRO",
      "timestamp": 0,
      "properties": {}
    },
    "value": {
      "name": "embeddings",
      "schema": {
        "type": "record",
        "name": "embeddings",
        "namespace": "ks1",
        "doc": "Table ks1.embeddings",
        "fields": [
          {
            "name": "item_vector",
            "type": [
              "null",
              {
                "type": "array",
                "items": "float"
              }
            ]
          },
          {
            "name": "value",
            "type": [
              "null",
              "string"
            ]
          }
        ]
      },
      "type": "AVRO",
      "timestamp": 0,
      "properties": {}
    }
  },
  "type": "KEY_VALUE",
  "timestamp": 1688589573106,
  "properties": {
    "key.schema.name": "embeddings",
    "key.schema.properties": "{}",
    "key.schema.type": "AVRO",
    "kv.encoding.type": "SEPARATED",
    "value.schema.name": "embeddings",
    "value.schema.properties": "{}",
    "value.schema.type": "AVRO"
  }
  }
  }