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Version: 1.17.1 (latest)

Review dlt schema

During the first dlt.Pipeline run, dlt produces a dlt.Schema from the data processed. This schema tells how data was stored on destination.

You can access the live dlt.Schema via the property dlt.Pipeline.default_schema.

pipeline = dlt.pipeline(pipeline_name="chess_pipeline", destination="duckdb")
pipeline.run(chess_source())

print(pipeline.default_schema)

For review, testing, data validation, documentation, etc. you can get a read-only and human-readable copy using Python code or the dlt CLI.

Export to dict​

Export to a Python dictionary. This is ideal for programmatic use (data validation, testing, manipulating metadata).

The conversion is lossless and allows you to reconstruct the dlt.Schema object. This is not available via the CLI.

schema_dict = pipeline.default_schema.to_dict()
See dict
{
  "version": 2,
  "version_hash": "iW0MtTw8NXm1r/amMiYpOF63Of44Mx5VfYOh5DM6/7s=",
  "engine_version": 11,
  "name": "fruit_with_ref",
  "tables": {
      "_dlt_version": {
          "name": "_dlt_version",
          "columns": {
              "version": {"name": "version", "data_type": "bigint", "nullable": False},
              "engine_version": {
                  "name": "engine_version",
                  "data_type": "bigint",
                  "nullable": False,
              },
              "inserted_at": {"name": "inserted_at", "data_type": "timestamp", "nullable": False},
              "schema_name": {"name": "schema_name", "data_type": "text", "nullable": False},
              "version_hash": {"name": "version_hash", "data_type": "text", "nullable": False},
              "schema": {"name": "schema", "data_type": "text", "nullable": False},
          },
          "write_disposition": "skip",
          "resource": "_dlt_version",
          "description": "Created by DLT. Tracks schema updates",
      },
      "_dlt_loads": {
          "name": "_dlt_loads",
          "columns": {
              "load_id": {"name": "load_id", "data_type": "text", "nullable": False},
              "schema_name": {"name": "schema_name", "data_type": "text", "nullable": True},
              "status": {"name": "status", "data_type": "bigint", "nullable": False},
              "inserted_at": {"name": "inserted_at", "data_type": "timestamp", "nullable": False},
              "schema_version_hash": {
                  "name": "schema_version_hash",
                  "data_type": "text",
                  "nullable": True,
              },
          },
          "write_disposition": "skip",
          "resource": "_dlt_loads",
          "description": "Created by DLT. Tracks completed loads",
      },
      "customers": {
          "columns": {
              "id": {"name": "id", "nullable": False, "primary_key": True, "data_type": "bigint"},
              "name": {
                  "x-annotation-pii": True,
                  "name": "name",
                  "data_type": "text",
                  "nullable": True,
              },
              "city": {"name": "city", "data_type": "text", "nullable": True},
              "_dlt_load_id": {"name": "_dlt_load_id", "data_type": "text", "nullable": False},
              "_dlt_id": {
                  "name": "_dlt_id",
                  "data_type": "text",
                  "nullable": False,
                  "unique": True,
                  "row_key": True,
              },
          },
          "write_disposition": "append",
          "name": "customers",
          "resource": "customers",
          "x-normalizer": {"seen-data": True},
      },
      "purchases": {
          "columns": {
              "id": {"name": "id", "nullable": False, "primary_key": True, "data_type": "bigint"},
              "customer_id": {"name": "customer_id", "data_type": "bigint", "nullable": True},
              "inventory_id": {"name": "inventory_id", "data_type": "bigint", "nullable": True},
              "quantity": {"name": "quantity", "data_type": "bigint", "nullable": True},
              "date": {"name": "date", "data_type": "text", "nullable": True},
              "_dlt_load_id": {"name": "_dlt_load_id", "data_type": "text", "nullable": False},
              "_dlt_id": {
                  "name": "_dlt_id",
                  "data_type": "text",
                  "nullable": False,
                  "unique": True,
                  "row_key": True,
              },
          },
          "write_disposition": "append",
          "references": [
              {
                  "columns": ["customer_id"],
                  "referenced_table": "customers",
                  "referenced_columns": ["id"],
              }
          ],
          "name": "purchases",
          "resource": "purchases",
          "x-normalizer": {"seen-data": True},
      },
      "_dlt_pipeline_state": {
          "columns": {
              "version": {"name": "version", "data_type": "bigint", "nullable": False},
              "engine_version": {
                  "name": "engine_version",
                  "data_type": "bigint",
                  "nullable": False,
              },
              "pipeline_name": {"name": "pipeline_name", "data_type": "text", "nullable": False},
              "state": {"name": "state", "data_type": "text", "nullable": False},
              "created_at": {"name": "created_at", "data_type": "timestamp", "nullable": False},
              "version_hash": {"name": "version_hash", "data_type": "text", "nullable": True},
              "_dlt_load_id": {"name": "_dlt_load_id", "data_type": "text", "nullable": False},
              "_dlt_id": {
                  "name": "_dlt_id",
                  "data_type": "text",
                  "nullable": False,
                  "unique": True,
                  "row_key": True,
              },
          },
          "write_disposition": "append",
          "file_format": "preferred",
          "name": "_dlt_pipeline_state",
          "resource": "_dlt_pipeline_state",
          "x-normalizer": {"seen-data": True},
      },
      "purchases__items": {
          "name": "purchases__items",
          "columns": {
              "name": {"name": "name", "data_type": "text", "nullable": True},
              "price": {"name": "price", "data_type": "bigint", "nullable": True},
              "_dlt_parent_id": {
                  "name": "_dlt_parent_id",
                  "data_type": "text",
                  "nullable": False,
                  "parent_key": True,
              },
              "_dlt_list_idx": {
                  "name": "_dlt_list_idx",
                  "data_type": "bigint",
                  "nullable": False,
              },
              "_dlt_id": {
                  "name": "_dlt_id",
                  "data_type": "text",
                  "nullable": False,
                  "unique": True,
                  "row_key": True,
              },
          },
          "parent": "purchases",
          "x-normalizer": {"seen-data": True},
      },
  },
  "settings": {
      "detections": ["iso_timestamp"],
      "default_hints": {
          "not_null": [
              "_dlt_id",
              "_dlt_root_id",
              "_dlt_parent_id",
              "_dlt_list_idx",
              "_dlt_load_id",
          ],
          "parent_key": ["_dlt_parent_id"],
          "root_key": ["_dlt_root_id"],
          "unique": ["_dlt_id"],
          "row_key": ["_dlt_id"],
      },
  },
  "normalizers": {
      "names": "snake_case",
      "json": {"module": "dlt.common.normalizers.json.relational"},
  },
  "previous_hashes": [
      "+stnjP5XdPbykNQJVpK/zpfo0iVbyRFfSIIRzuPzcI4=",
      "nTU+qnLwEmiMSWTwu+QH321j4zl8NrOVL4Hx/GxQAHE=",
  ],
}

Export to JSON​

Export to a JSON string. This is useful for passing between services, store to a file, or add to documentation. The conversion is lossless.

# it's "pretty" JSON because the output is indented for human-readability
schema_json = pipeline.default_schema.to_pretty_json()
# `chess_pipeline` is the name of the pipeline
dlt pipeline chess_pipeline schema --format json
See JSON
{
"version": 2,
"version_hash": "iW0MtTw8NXm1r/amMiYpOF63Of44Mx5VfYOh5DM6/7s=",
"engine_version": 11,
"name": "fruit_with_ref",
"tables": {
  "_dlt_version": {
    "columns": {
      "version": {
        "data_type": "bigint",
        "nullable": false
      },
      "engine_version": {
        "data_type": "bigint",
        "nullable": false
      },
      "inserted_at": {
        "data_type": "timestamp",
        "nullable": false
      },
      "schema_name": {
        "data_type": "text",
        "nullable": false
      },
      "version_hash": {
        "data_type": "text",
        "nullable": false
      },
      "schema": {
        "data_type": "text",
        "nullable": false
      }
    },
    "write_disposition": "skip",
    "resource": "_dlt_version",
    "description": "Created by DLT. Tracks schema updates"
  },
  "_dlt_loads": {
    "columns": {
      "load_id": {
        "data_type": "text",
        "nullable": false
      },
      "schema_name": {
        "data_type": "text",
        "nullable": true
      },
      "status": {
        "data_type": "bigint",
        "nullable": false
      },
      "inserted_at": {
        "data_type": "timestamp",
        "nullable": false
      },
      "schema_version_hash": {
        "data_type": "text",
        "nullable": true
      }
    },
    "write_disposition": "skip",
    "resource": "_dlt_loads",
    "description": "Created by DLT. Tracks completed loads"
  },
  "customers": {
    "columns": {
      "id": {
        "nullable": false,
        "primary_key": true,
        "data_type": "bigint"
      },
      "name": {
        "x-annotation-pii": true,
        "data_type": "text",
        "nullable": true
      },
      "city": {
        "data_type": "text",
        "nullable": true
      },
      "_dlt_load_id": {
        "data_type": "text",
        "nullable": false
      },
      "_dlt_id": {
        "data_type": "text",
        "nullable": false,
        "unique": true,
        "row_key": true
      }
    },
    "write_disposition": "append",
    "resource": "customers",
    "x-normalizer": {
      "seen-data": true
    }
  },
  "purchases": {
    "columns": {
      "id": {
        "nullable": false,
        "primary_key": true,
        "data_type": "bigint"
      },
      "customer_id": {
        "data_type": "bigint",
        "nullable": true
      },
      "inventory_id": {
        "data_type": "bigint",
        "nullable": true
      },
      "quantity": {
        "data_type": "bigint",
        "nullable": true
      },
      "date": {
        "data_type": "text",
        "nullable": true
      },
      "_dlt_load_id": {
        "data_type": "text",
        "nullable": false
      },
      "_dlt_id": {
        "data_type": "text",
        "nullable": false,
        "unique": true,
        "row_key": true
      }
    },
    "write_disposition": "append",
    "references": [
      {
        "columns": [
          "customer_id"
        ],
        "referenced_table": "customers",
        "referenced_columns": [
          "id"
        ]
      }
    ],
    "resource": "purchases",
    "x-normalizer": {
      "seen-data": true
    }
  },
  "_dlt_pipeline_state": {
    "columns": {
      "version": {
        "data_type": "bigint",
        "nullable": false
      },
      "engine_version": {
        "data_type": "bigint",
        "nullable": false
      },
      "pipeline_name": {
        "data_type": "text",
        "nullable": false
      },
      "state": {
        "data_type": "text",
        "nullable": false
      },
      "created_at": {
        "data_type": "timestamp",
        "nullable": false
      },
      "version_hash": {
        "data_type": "text",
        "nullable": true
      },
      "_dlt_load_id": {
        "data_type": "text",
        "nullable": false
      },
      "_dlt_id": {
        "data_type": "text",
        "nullable": false,
        "unique": true,
        "row_key": true
      }
    },
    "write_disposition": "append",
    "file_format": "preferred",
    "resource": "_dlt_pipeline_state",
    "x-normalizer": {
      "seen-data": true
    }
  },
  "purchases__items": {
    "columns": {
      "name": {
        "data_type": "text",
        "nullable": true
      },
      "price": {
        "data_type": "bigint",
        "nullable": true
      },
      "_dlt_parent_id": {
        "data_type": "text",
        "nullable": false,
        "parent_key": true
      },
      "_dlt_list_idx": {
        "data_type": "bigint",
        "nullable": false
      },
      "_dlt_id": {
        "data_type": "text",
        "nullable": false,
        "unique": true,
        "row_key": true
      }
    },
    "parent": "purchases",
    "x-normalizer": {
      "seen-data": true
    }
  }
},
"settings": {
  "detections": [
    "iso_timestamp"
  ],
  "default_hints": {
    "not_null": [
      "_dlt_id",
      "_dlt_root_id",
      "_dlt_parent_id",
      "_dlt_list_idx",
      "_dlt_load_id"
    ],
    "parent_key": [
      "_dlt_parent_id"
    ],
    "root_key": [
      "_dlt_root_id"
    ],
    "unique": [
      "_dlt_id"
    ],
    "row_key": [
      "_dlt_id"
    ]
  }
},
"normalizers": {
  "names": "snake_case",
  "json": {
    "module": "dlt.common.normalizers.json.relational"
  }
},
"previous_hashes": [
  "+stnjP5XdPbykNQJVpK/zpfo0iVbyRFfSIIRzuPzcI4=",
  "nTU+qnLwEmiMSWTwu+QH321j4zl8NrOVL4Hx/GxQAHE="
]
}

Export to YAML​

Export to a YAML string. It serves the same purposes a JSON export. The conversion is lossless.

# it's "pretty" YAML because the output is indented for human-readability
schema_yaml = pipeline.default_schema.to_pretty_yaml()
# `chess_pipeline` is the name of the pipeline
dlt pipeline chess_pipeline schema --format yaml
See YAML
version: 2
version_hash: iW0MtTw8NXm1r/amMiYpOF63Of44Mx5VfYOh5DM6/7s=
engine_version: 11
name: fruit_with_ref
tables:
_dlt_version:
  columns:
    version:
      data_type: bigint
      nullable: false
    engine_version:
      data_type: bigint
      nullable: false
    inserted_at:
      data_type: timestamp
      nullable: false
    schema_name:
      data_type: text
      nullable: false
    version_hash:
      data_type: text
      nullable: false
    schema:
      data_type: text
      nullable: false
  write_disposition: skip
  resource: _dlt_version
  description: Created by DLT. Tracks schema updates
_dlt_loads:
  columns:
    load_id:
      data_type: text
      nullable: false
    schema_name:
      data_type: text
      nullable: true
    status:
      data_type: bigint
      nullable: false
    inserted_at:
      data_type: timestamp
      nullable: false
    schema_version_hash:
      data_type: text
      nullable: true
  write_disposition: skip
  resource: _dlt_loads
  description: Created by DLT. Tracks completed loads
customers:
  columns:
    id:
      nullable: false
      primary_key: true
      data_type: bigint
    name:
      x-annotation-pii: true
      data_type: text
      nullable: true
    city:
      data_type: text
      nullable: true
    _dlt_load_id:
      data_type: text
      nullable: false
    _dlt_id:
      data_type: text
      nullable: false
      unique: true
      row_key: true
  write_disposition: append
  resource: customers
  x-normalizer:
    seen-data: true
purchases:
  columns:
    id:
      nullable: false
      primary_key: true
      data_type: bigint
    customer_id:
      data_type: bigint
      nullable: true
    inventory_id:
      data_type: bigint
      nullable: true
    quantity:
      data_type: bigint
      nullable: true
    date:
      data_type: text
      nullable: true
    _dlt_load_id:
      data_type: text
      nullable: false
    _dlt_id:
      data_type: text
      nullable: false
      unique: true
      row_key: true
  write_disposition: append
  references:
  - columns:
    - customer_id
    referenced_table: customers
    referenced_columns:
    - id
  resource: purchases
  x-normalizer:
    seen-data: true
_dlt_pipeline_state:
  columns:
    version:
      data_type: bigint
      nullable: false
    engine_version:
      data_type: bigint
      nullable: false
    pipeline_name:
      data_type: text
      nullable: false
    state:
      data_type: text
      nullable: false
    created_at:
      data_type: timestamp
      nullable: false
    version_hash:
      data_type: text
      nullable: true
    _dlt_load_id:
      data_type: text
      nullable: false
    _dlt_id:
      data_type: text
      nullable: false
      unique: true
      row_key: true
  write_disposition: append
  file_format: preferred
  resource: _dlt_pipeline_state
  x-normalizer:
    seen-data: true
purchases__items:
  columns:
    name:
      data_type: text
      nullable: true
    price:
      data_type: bigint
      nullable: true
    _dlt_parent_id:
      data_type: text
      nullable: false
      parent_key: true
    _dlt_list_idx:
      data_type: bigint
      nullable: false
    _dlt_id:
      data_type: text
      nullable: false
      unique: true
      row_key: true
  parent: purchases
  x-normalizer:
    seen-data: true
settings:
detections:
- iso_timestamp
default_hints:
  not_null:
  - _dlt_id
  - _dlt_root_id
  - _dlt_parent_id
  - _dlt_list_idx
  - _dlt_load_id
  parent_key:
  - _dlt_parent_id
  root_key:
  - _dlt_root_id
  unique:
  - _dlt_id
  row_key:
  - _dlt_id
normalizers:
names: snake_case
json:
  module: dlt.common.normalizers.json.relational
previous_hashes:
- +stnjP5XdPbykNQJVpK/zpfo0iVbyRFfSIIRzuPzcI4=
- nTU+qnLwEmiMSWTwu+QH321j4zl8NrOVL4Hx/GxQAHE=

Export to DBML​

DBML (Database Markup Language) is an open-source DSL to define and document database schemas and structures. Exporting your dlt.Schema to DBML, allows you to view it in a DBML frontend such as dbdiagram.io, chartdb.io, or VSCode extensions.

Note that the conversion is lossy. You can't fully recreate dlt.Schema from a DBML schema. However, this is a planned feature!

schema_dbml = pipeline.default_schema.to_dbml()
# `chess_pipeline` is the name of the pipeline
dlt pipeline chess_pipeline schema --format dbml
See DBML
Table "customers" {
  "id" bigint [pk, not null]
  "name" text
  "city" text
  "_dlt_load_id" text [not null]
  "_dlt_id" text [unique, not null]
}

Table "purchases" {
  "id" bigint [pk, not null]
  "customer_id" bigint
  "inventory_id" bigint
  "quantity" bigint
  "date" text
  "_dlt_load_id" text [not null]
  "_dlt_id" text [unique, not null]
}

Table "purchases__items" {
  "name" text
  "price" bigint
  "_dlt_parent_id" text [not null]
  "_dlt_list_idx" bigint [not null]
  "_dlt_id" text [unique, not null]
}

Table "_dlt_version" {
  "version" bigint [not null]
  "engine_version" bigint [not null]
  "inserted_at" timestamp [not null]
  "schema_name" text [not null]
  "version_hash" text [not null]
  "schema" text [not null]
  Note {
      'Created by DLT. Tracks schema updates'
  }
}

Table "_dlt_loads" {
  "load_id" text [not null]
  "schema_name" text
  "status" bigint [not null]
  "inserted_at" timestamp [not null]
  "schema_version_hash" text
  Note {
      'Created by DLT. Tracks completed loads'
  }
}

Table "_dlt_pipeline_state" {
  "version" bigint [not null]
  "engine_version" bigint [not null]
  "pipeline_name" text [not null]
  "state" text [not null]
  "created_at" timestamp [not null]
  "version_hash" text
  "_dlt_load_id" text [not null]
  "_dlt_id" text [unique, not null]
}

Ref {
  "customers"."_dlt_load_id" > "_dlt_loads"."load_id"
}

Ref {
  "purchases"."customer_id" <> "customers"."id"
}

Ref {
  "purchases"."_dlt_load_id" > "_dlt_loads"."load_id"
}

Ref {
  "_dlt_pipeline_state"."_dlt_load_id" > "_dlt_loads"."load_id"
}

Ref {
  "purchases__items"."_dlt_parent_id" > "purchases"."_dlt_id"
}

Ref {
  "_dlt_version"."version_hash" < "_dlt_loads"."schema_version_hash"
}

Ref {
  "_dlt_version"."schema_name" <> "_dlt_loads"."schema_name"
}

TableGroup "customers" {
  "customers"
}

TableGroup "purchases" {
  "purchases"
  "purchases__items"
}

TableGroup "_dlt" {
  "_dlt_version"
  "_dlt_loads"
  "_dlt_pipeline_state"
}

chartdb dbml render

Export to Graphviz​

Graphviz is an open soruce graph visualization engine which uses the DOT language. dlt allows you to export your dlt.Schema as DOT string, which can be rendered using the Python graphviz library, lightweight JS libraries (e.g., d3-graphviz), or IDE extensions.

Note that the conversion is lossy. You can't fully recreate dlt.Schema from a DOT string.

schema_dot = pipeline.default_schema.to_dot()
# `chess_pipeline` is the name of the pipeline
dlt pipeline chess_pipeline schema --format dot
See DOT

This uses the DOT HTML-like language to render nodes as tables.

digraph fruit_with_ref {
  rankdir=LR;
  graph [fontname="helvetica", fontcolor="{TABLE_BORDER_COLOR}", layout="twopi", ranksep=5, root="_dlt_loads"];
  node [penwidth=0, margin=0, fontname="helvetica"];
  edge [fontname="helvetica", fontcolor="{TABLE_BORDER_COLOR}", color="{TABLE_BORDER_COLOR}"];

"customers" [id="customers"; label=<
  <table border="0" color="#1c1c34" cellborder="1" cellspacing="0" cellpadding="6">
              <tr>
          <td port="p0" bgcolor="#bbca06">
              <font color="#1c1c34"><b>customers</b></font>
          </td>
      </tr>

      <tr>
          <td align="left" port="f1" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left"><B>id🔑</B></td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f2" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">name</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f3" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">city</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f4" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_load_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f5" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr>
  </table>
>];

"purchases" [id="purchases"; label=<
  <table border="0" color="#1c1c34" cellborder="1" cellspacing="0" cellpadding="6">
              <tr>
          <td port="p0" bgcolor="#bbca06">
              <font color="#1c1c34"><b>purchases</b></font>
          </td>
      </tr>

      <tr>
          <td align="left" port="f1" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left"><B>id🔑</B></td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f2" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">customer_id</td>
                      <td align="right"><font>bigint</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f3" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">inventory_id</td>
                      <td align="right"><font>bigint</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f4" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">quantity</td>
                      <td align="right"><font>bigint</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f5" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">date</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f6" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_load_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f7" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr>
  </table>
>];

"purchases__items" [id="purchases__items"; label=<
  <table border="0" color="#1c1c34" cellborder="1" cellspacing="0" cellpadding="6">
              <tr>
          <td port="p0" bgcolor="#bbca06">
              <font color="#1c1c34"><b>purchases__items</b></font>
          </td>
      </tr>

      <tr>
          <td align="left" port="f1" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">name</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f2" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">price</td>
                      <td align="right"><font>bigint</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f3" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_parent_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f4" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_list_idx</td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f5" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr>
  </table>
>];

"_dlt_version" [id="_dlt_version";tooltip="Created by DLT. Tracks schema updates";label=<
  <table border="0" color="#1c1c34" cellborder="1" cellspacing="0" cellpadding="6">
              <tr>
          <td port="p0" bgcolor="#bbca06">
              <font color="#1c1c34"><b>_dlt_version</b></font>
          </td>
      </tr>

      <tr>
          <td align="left" port="f1" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">version</td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f2" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">engine_version</td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f3" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">inserted_at</td>
                      <td align="right"><font>timestamp <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f4" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">schema_name</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f5" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">version_hash</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f6" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">schema</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr>
  </table>
>];

"_dlt_loads" [id="_dlt_loads";tooltip="Created by DLT. Tracks completed loads";label=<
  <table border="0" color="#1c1c34" cellborder="1" cellspacing="0" cellpadding="6">
              <tr>
          <td port="p0" bgcolor="#bbca06">
              <font color="#1c1c34"><b>_dlt_loads</b></font>
          </td>
      </tr>

      <tr>
          <td align="left" port="f1" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">load_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f2" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">schema_name</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f3" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">status</td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f4" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">inserted_at</td>
                      <td align="right"><font>timestamp <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f5" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">schema_version_hash</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr>
  </table>
>];

"_dlt_pipeline_state" [id="_dlt_pipeline_state"; label=<
  <table border="0" color="#1c1c34" cellborder="1" cellspacing="0" cellpadding="6">
              <tr>
          <td port="p0" bgcolor="#bbca06">
              <font color="#1c1c34"><b>_dlt_pipeline_state</b></font>
          </td>
      </tr>

      <tr>
          <td align="left" port="f1" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">version</td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f2" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">engine_version</td>
                      <td align="right"><font>bigint <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f3" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">pipeline_name</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f4" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">state</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f5" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">created_at</td>
                      <td align="right"><font>timestamp <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f6" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">version_hash</td>
                      <td align="right"><font>text</font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f7" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_load_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr><tr>
          <td align="left" port="f8" bgcolor="#e7e2dd">
              <table cellpadding="0" cellspacing="0" border="0">
                  <tr>
                      <td align="left">_dlt_id</td>
                      <td align="right"><font>text <B>NN</B></font></td>
                  </tr>
              </table>
          </td>
      </tr>
  </table>
>];

customers:p0 -> _dlt_loads:p0 [style=invis]
customers:f4:_ -> _dlt_loads:f1:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
purchases:p0 -> customers:p0 [style=invis]
purchases:f2:_ -> customers:f1:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
purchases:p0 -> _dlt_loads:p0 [style=invis]
purchases:f6:_ -> _dlt_loads:f1:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
_dlt_pipeline_state:p0 -> _dlt_loads:p0 [style=invis]
_dlt_pipeline_state:f7:_ -> _dlt_loads:f1:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
purchases__items:p0 -> purchases:p0 [style=invis]
purchases__items:f3:_ -> purchases:f7:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
_dlt_version:p0 -> _dlt_loads:p0 [style=invis]
_dlt_version:f5:_ -> _dlt_loads:f5:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
_dlt_version:p0 -> _dlt_loads:p0 [style=invis]
_dlt_version:f4:_ -> _dlt_loads:f2:_ [dir=both, penwidth=1, color="#1c1c34", arrowtail="vee", arrowhead="dot"];
}

graphviz dot render

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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