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tap-sybase

singer_sybase_tap

Singer tap that extracts data from a sybase database and produces JSON-formatted data following the Singer spec. This TAP was built against Sybase Version 16 also known as Adapter Server Enterprise or officially as SAP Adaptive Server Enterprise (ASE) 16.0. Compatibility with older versions of Sybase is unknown, I would recommend testing the TAP for compatibility.

This is a PipelineWise and Meltano compatible tap connector.

Open in Visual Studio Code

How to use it

If you want to run this Singer Tap independently please read further.

Usage

This section dives into basic usage of tap-sybase by walking through extracting data from a table. It assumes that you can connect to and read from a Sybase database.

Install

First, make sure Python 3 is installed on your system or follow these installation instructions for Mac or Ubuntu.

It's recommended to use a virtualenv:

  python3 -m venv venv

or

  python3 -m venv venv
  . venv/bin/activate
  pip install --upgrade pip

Then build the tap_sybase Python Application

  python setup.py install

Have a source database

There's some important business data siloed in this sybase database -- we need to extract it. Here's the table we'd like to sync:

sybase> select * from example_db.animals;
+----|----------|----------------------+
| id | name     | likes_getting_petted |
+----|----------|----------------------+
|  1 | aardvark |                    0 |
|  2 | bear     |                    0 |
|  3 | cow      |                    1 |
+----|----------|----------------------+
3 rows in set (0.00 sec)

Create the configuration file

Create a config file containing the database connection credentials, e.g.:

{
  "host": "localhost",
  "port": "2638",
  "user": "root",
  "password": "password",
  "database": "databasename"
}

These are the same basic configuration properties used by the sybase command-line client (sybase). The following options can be added optionally:

Filter Databases (filter_dbs)

Optional:

To filter the discovery to a particular schema within a database. This is useful if you have a large number of schemas and wish to speed up the discovery.

{
  "filter_dbs": "your database schema name",
}

Use Date Data-type (use_date_datatype)

Optional:

To emit a date as a date without a time component or time without an UTC offset. This is helpful to avoid time conversions or to just work with a date datetype in the target database. If this boolean config item is not set, the default behaviour is false i.e. emit date datatypes as a datetime. It is recommended to set this on if you have time datetypes and are having issues uploading into into a target database.

{
  "use_date_datatype": true
}

TDS Version (tds_version)

Optional:

Set the version of TDS to use when communicating with Sybase Server (the default is None). This is used by pymssql with connecting and fetching data from Sybase databases. See the pymssql documentation and FreeTDS documentation for more details.

{
  "tds_version": "7.3"
}

Character Set (characterset)

Optional:

The characterset for the database / source system. The default is utf8, however older databases might use a charactersets like cp1252 for the encoding. If you have errors with a UnicodeDecodeError: 'utf-8' codec can't decode byte .... then a solution is examine the characterset of the source database / system and make an appropriate substitution for utf8 like cp1252.

{
  "characterset": "utf8"
}

Singer Decimal (use_singer_decimal)

Optional:

To emit all numeric values as strings and treat floats as string data types for the target, set use_singer_decimal to true. The resulting SCHEMA message will contain an attribute in additionalProperties containing the scale and precision of the discovered property:

SCHEMA message
"property": {
            "inclusion": "available",
            "format": "singer.decimal",
            "type": [
              "null",
              "number"
            ],
            "additionalProperties": {
              "scale_precision": "(12,0)"
            }

Usage:

{
  "use_singer_decimal": true
}

Fetchmany/Array size (cursor_array_size)

Optional:

To make use of fetchmany(x) instead of fetchone(), use cursor_array_size with an integer value indicating the number of rows to pull. This can help in some architectures by pulling more rows into memory. The default if omitted is 1, the tap will still use fetchmany, but with an argument of 1, under the assumption that fetchmany(1) === fetchone(). Usage:

{
  "cursor_array_size": 10000
}

These are the same basic configuration properties used by the sybase command-line client (tap-sybase).

Discovery mode

The tap can be invoked in discovery mode to find the available tables and columns in the database:

$ tap-sybase --config config.json --discover

A discovered catalog is output, with a JSON-schema description of each table. A source table directly corresponds to a Singer stream.

{
  "streams": [
    {
      "tap_stream_id": "example_db-animals",
      "table_name": "animals",
      "schema": {
        "type": "object",
        "properties": {
          "name": {
            "inclusion": "available",
            "type": [
              "null",
              "string"
            ],
            "maxLength": 255
          },
          "id": {
            "inclusion": "automatic",
            "minimum": -2147483648,
            "maximum": 2147483647,
            "type": [
              "null",
              "integer"
            ]
          },
          "likes_getting_petted": {
            "inclusion": "available",
            "type": [
              "null",
              "boolean"
            ]
          }
        }
      },
      "metadata": [
        {
          "breadcrumb": [],
          "metadata": {
            "row-count": 3,
            "table-key-properties": [
              "id"
            ],
            "database-name": "example_db",
            "selected-by-default": false,
            "is-view": false,
          }
        },
        {
          "breadcrumb": [
            "properties",
            "id"
          ],
          "metadata": {
            "sql-datatype": "int(11)",
            "selected-by-default": true
          }
        },
        {
          "breadcrumb": [
            "properties",
            "name"
          ],
          "metadata": {
            "sql-datatype": "varchar(255)",
            "selected-by-default": true
          }
        },
        {
          "breadcrumb": [
            "properties",
            "likes_getting_petted"
          ],
          "metadata": {
            "sql-datatype": "tinyint(1)",
            "selected-by-default": true
          }
        }
      ],
      "stream": "animals"
    }
  ]
}

Field selection

In sync mode, tap-sybase consumes the catalog and looks for tables and fields have been marked as selected in their associated metadata entries.

Redirect output from the tap's discovery mode to a file so that it can be modified:

$ tap-sybase -c config.json --discover > properties.json

Then edit properties.json to make selections. In this example we want the animals table. The stream's metadata entry (associated with "breadcrumb": []) gets a top-level selected flag, as does its columns' metadata entries. Additionally, we will mark the animals table to replicate using a FULL_TABLE strategy. For more, information, see Replication methods and state file.

[
  {
    "breadcrumb": [],
    "metadata": {
      "row-count": 3,
      "table-key-properties": [
        "id"
      ],
      "database-name": "example_db",
      "selected-by-default": false,
      "is-view": false,
      "selected": true,
      "replication-method": "FULL_TABLE"
    }
  },
  {
    "breadcrumb": [
      "properties",
      "id"
    ],
    "metadata": {
      "sql-datatype": "int(11)",
      "selected-by-default": true,
      "selected": true
    }
  },
  {
    "breadcrumb": [
      "properties",
      "name"
    ],
    "metadata": {
      "sql-datatype": "varchar(255)",
      "selected-by-default": true,
      "selected": true
    }
  },
  {
    "breadcrumb": [
      "properties",
      "likes_getting_petted"
    ],
    "metadata": {
      "sql-datatype": "tinyint(1)",
      "selected-by-default": true,
      "selected": true
    }
  }
]

Sync mode

With a properties catalog that describes field and table selections, the tap can be invoked in sync mode:

$ tap-sybase -c config.json --properties properties.json

Messages are written to standard output following the Singer specification. The resultant stream of JSON data can be consumed by a Singer target.

{"value": {"currently_syncing": "example_db-animals"}, "type": "STATE"}

{"key_properties": ["id"], "stream": "animals", "schema": {"properties": {"name": {"inclusion": "available", "maxLength": 255, "type": ["null", "string"]}, "likes_getting_petted": {"inclusion": "available", "type": ["null", "boolean"]}, "id": {"inclusion": "automatic", "minimum": -2147483648, "type": ["null", "integer"], "maximum": 2147483647}}, "type": "object"}, "type": "SCHEMA"}

{"stream": "animals", "version": 1509133344771, "type": "ACTIVATE_VERSION"}

{"record": {"name": "aardvark", "likes_getting_petted": false, "id": 1}, "stream": "animals", "version": 1509133344771, "type": "RECORD"}

{"record": {"name": "bear", "likes_getting_petted": false, "id": 2}, "stream": "animals", "version": 1509133344771, "type": "RECORD"}

{"record": {"name": "cow", "likes_getting_petted": true, "id": 3}, "stream": "animals", "version": 1509133344771, "type": "RECORD"}

{"stream": "animals", "version": 1509133344771, "type": "ACTIVATE_VERSION"}

{"value": {"currently_syncing": "example_db-animals", "bookmarks": {"example_db-animals": {"initial_full_table_complete": true}}}, "type": "STATE"}

{"value": {"currently_syncing": null, "bookmarks": {"example_db-animals": {"initial_full_table_complete": true}}}, "type": "STATE"}

Replication methods and state file

In the above example, we invoked tap-sybase without providing a state file and without specifying a replication method. The two ways to replicate a given table are FULL_TABLE, and INCREMENTAL. Note: tap-sybase was cloned from tap-mssql, and the LOG_BASED based replication is not available. Code and documentation left for a potential future update.

Full Table

Full-table replication extracts all data from the source table each time the tap is invoked.

Log Based

NOTE: NOT IMPLEMENTED! Notes below are from TAP-MSSQL.

Log_Based replication extracts change data from the MS SQL Server Change Data Capture (CDC) tables, are a MS SQL feature. This code and documentation has been left in with the view that Sybase may have a CDC Log based replication method.

This method allows you to replicate just the changes to a table e.g. the Inserts, Deletes, and Updates. For this method to work you must enrol the database in question and tables that you wish to replicate.

See : https://docs.microsoft.com/en-us/sql/relational-databases/track-changes/enable-and-disable-change-data-capture-sql-server for more details.

Please Note: CDC is different to Change Tracking which is a older approach for tracking change. Log Based only works with CDC, it does not work with Change Tracking!

To find out more about setting up CDC, refer to this page MSSQL CDC Setup

Incremental

Incremental replication works in conjunction with a state file to only extract new records each time the tap is invoked. This requires a replication key to be specified in the table's metadata as well.

Example

Let's sync the animals table again, but this time using incremental replication. The replication method and replication key are set in the table's metadata entry in properties file:

{
  "streams": [
    {
      "tap_stream_id": "example_db-animals",
      "table_name": "animals",
      "schema": { ... },
      "metadata": [
        {
          "breadcrumb": [],
          "metadata": {
            "row-count": 3,
            "table-key-properties": [
              "id"
            ],
            "database-name": "example_db",
            "selected-by-default": false,
            "is-view": false,
            "replication-method": "INCREMENTAL",
            "replication-key": "id"
          }
        },
        ...
      ],
      "stream": "animals"
    }
  ]
}

We have no meaningful state so far, so just invoke the tap in sync mode again without a state file:

$ tap-sybase -c config.json --properties properties.json

The output messages look very similar to when the table was replicated using the default FULL_TABLE replication method. One important difference is that the STATE messages now contain a replication_key_value -- a bookmark or high-water mark -- for data that was extracted:

{"type": "STATE", "value": {"currently_syncing": "example_db-animals"}}

{"stream": "animals", "type": "SCHEMA", "schema": {"type": "object", "properties": {"id": {"type": ["null", "integer"], "minimum": -2147483648, "maximum": 2147483647, "inclusion": "automatic"}, "name": {"type": ["null", "string"], "inclusion": "available", "maxLength": 255}, "likes_getting_petted": {"type": ["null", "boolean"], "inclusion": "available"}}}, "key_properties": ["id"]}

{"stream": "animals", "type": "ACTIVATE_VERSION", "version": 1509135204169}

{"stream": "animals", "type": "RECORD", "version": 1509135204169, "record": {"id": 1, "name": "aardvark", "likes_getting_petted": false}}

{"stream": "animals", "type": "RECORD", "version": 1509135204169, "record": {"id": 2, "name": "bear", "likes_getting_petted": false}}

{"stream": "animals", "type": "RECORD", "version": 1509135204169, "record": {"id": 3, "name": "cow", "likes_getting_petted": true}}

{"type": "STATE", "value": {"bookmarks": {"example_db-animals": {"version": 1509135204169, "replication_key_value": 3, "replication_key": "id"}}, "currently_syncing": "example_db-animals"}}

{"type": "STATE", "value": {"bookmarks": {"example_db-animals": {"version": 1509135204169, "replication_key_value": 3, "replication_key": "id"}}, "currently_syncing": null}}

Note that the final STATE message has a replication_key_value of 3, reflecting that the extraction ended on a record that had an id of 3. Subsequent invocations of the tap will pick up from this bookmark.

Normally, the target will echo the last STATE after it's finished processing data. For this example, let's manually write a state.json file using the STATE message:

{
  "bookmarks": {
    "example_db-animals": {
      "version": 1509135204169,
      "replication_key_value": 3,
      "replication_key": "id"
    }
  },
  "currently_syncing": null
}

Let's add some more animals to our farm:

sybase> insert into animals (name, likes_getting_petted) values ('dog', true), ('elephant', true), ('frog', false);

$ tap-sybase -c config.json --properties properties.json --state state.json

This invocation extracts any data since (and including) the replication_key_value:

{"type": "STATE", "value": {"bookmarks": {"example_db-animals": {"replication_key": "id", "version": 1509135204169, "replication_key_value": 3}}, "currently_syncing": "example_db-animals"}}

{"key_properties": ["id"], "schema": {"properties": {"name": {"maxLength": 255, "inclusion": "available", "type": ["null", "string"]}, "id": {"maximum": 2147483647, "minimum": -2147483648, "inclusion": "automatic", "type": ["null", "integer"]}, "likes_getting_petted": {"inclusion": "available", "type": ["null", "boolean"]}}, "type": "object"}, "type": "SCHEMA", "stream": "animals"}

{"type": "ACTIVATE_VERSION", "version": 1509135204169, "stream": "animals"}

{"record": {"name": "cow", "id": 3, "likes_getting_petted": true}, "type": "RECORD", "version": 1509135204169, "stream": "animals"}
{"record": {"name": "dog", "id": 4, "likes_getting_petted": true}, "type": "RECORD", "version": 1509135204169, "stream": "animals"}
{"record": {"name": "elephant", "id": 5, "likes_getting_petted": true}, "type": "RECORD", "version": 1509135204169, "stream": "animals"}
{"record": {"name": "frog", "id": 6, "likes_getting_petted": false}, "type": "RECORD", "version": 1509135204169, "stream": "animals"}

{"type": "STATE", "value": {"bookmarks": {"example_db-animals": {"replication_key": "id", "version": 1509135204169, "replication_key_value": 6}}, "currently_syncing": "example_db-animals"}}

{"type": "STATE", "value": {"bookmarks": {"example_db-animals": {"replication_key": "id", "version": 1509135204169, "replication_key_value": 6}}, "currently_syncing": null}}

Based on Stitch documentation

Build Instructions

This section dives into basic commands to build tap-sybase if an alteration is made to the code.

Setup Tools

You may need a copy of setup tools or an up to date version of setup tools to build tap-sybase

To do this follow these instructions.

  # Ensure you have first sourced the python virtual environment e.g.
  source venv/bin/activate

  python -m pip install --upgrade setuptools

To build the tap

Run the following command each time you need to rebuild the tap.

$ python setup.py install

Debugging in Visual Studio Code

To run the init.py python program in debug mode, you need to do the following two steps. Note: This was run within a Docker Container in Visual Studio Code.

  1. Create a .vscode/launch.json file. Note: The parameters config.json and properties.json should point to the files you have generated in previous steps above. If you want to test state, include the state parameter as shown below and prepare an appropriate state file as per the instructions in an earlier section.
{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python: Program",
            "type": "python",
            "request": "launch",
            "program": "${workspaceRoot}/tap_sybase/__init__.py",
            "args": [
                "-c", "config.json",
                "--properties", "properties.json"
                "--state", "state.json"
            ]
        }
    ]
}
  1. Add a main entry to the init.py file to run interactively

Add the following lines to the end of the init.py in the tap_sybase directory.

if __name__ == '__main__':
    main()  # pylint: disable=no-value-for-parameter