spanner

Kubemq spanner target Connector

Kubemq gcp-spanner target connector allows services using kubemq server to access google spanner server.

Prerequisites

The following are required to run the gcp-spanner target connector:

• kubemq cluster
• gcp-spanner set up
• kubemq-targets deployment

Configuration

spanner target connector configuration properties:

Example:

bindings:
  - name: kubemq-query-gcp-spanner
    source:
      kind: kubemq.query
      name: kubemq-query
      properties:
        address: "kubemq-cluster:50000"
        client_id: "kubemq-query-gcp-spanner-connector"
        auth_token: ""
        channel: "query.gcp.spanner"
        group:   ""
        auto_reconnect: "true"
        reconnect_interval_seconds: "1"
        max_reconnects: "0"
    target:
      kind: gcp.spanner
      name: target-gcp-spanner
      properties:
        db: "id"
        credentials: 'json'

Usage

Query Request

create query request.

Query metadata setting:

Example:

{
  "metadata": {
    "method": "query",
    "query": "select * from table"
  },
  "data": null
}

Read Table Request by columns

read table by table_name

Read Table metadata setting:

Example:

{
  "metadata": {
    "method": "read",
    "table_name": "<myTable>"
  },
  "data": "W1wiaWRcIixcIm5hbWVcIl0="
}

Insert Or Update Table

insert or update a table

Insert Or Update metadata setting:

Example:

{
  "metadata": {
    "method": "insert_or_update"
  },
  "data": "W3tcInRhYmxlX25hbWVcIjpcInRlc3QyXCIsXCJjb2x1bW5fbmFtZXNcIjpbXCJpZFwiLFwibmFtZVwiXSxcImNvbHVtbl92YWx1ZXNcIjpbMTcsXCJuYW1lMVwiXSxcImNvbHVtbl90eXBlXCI6W1wiSU5UNjRcIixcIlNUUklOR1wiXX0se1widGFibGVfbmFtZVwiOlwidGVzdDJcIixcImNvbHVtbl9uYW1lc1wiOltcImlkXCIsXCJuYW1lXCJdLFwiY29sdW1uX3ZhbHVlc1wiOlsxOCxcIm5hbWUyXCJdLFwiY29sdW1uX3R5cGVcIjpbXCJJTlQ2NFwiLFwiU1RSSU5HXCJdfV0="
}