99 lines
3.2 KiB
Python
Executable File
99 lines
3.2 KiB
Python
Executable File
#!/usr/bin/env python
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# Copyright (c) 2016 MariaDB Corporation Ab
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#
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# Use of this software is governed by the Business Source License included
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# in the LICENSE.TXT file and at www.mariadb.com/bsl11.
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#
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# Change Date: 2025-03-08
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#
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# On the date above, in accordance with the Business Source License, use
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# of this software will be governed by version 2 or later of the General
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# Public License.
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import json
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import sys
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import argparse
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parser = argparse.ArgumentParser(description = """
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This program generates a schema file for a single table by reading a tab
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separated list of field and type names from the standard input.
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To use this script, pipe the output of the `mysql` command line into the
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`cdc_one_schema.py` script:
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mysql -ss -u <user> -p -h <host> -P <port> -e 'DESCRIBE `<database>`.`<table>`'|./cdc_one_schema.py <database> <table>
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Replace the <user>, <host>, <port>, <database> and <table> with appropriate
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values and run the command. Note that the `-ss` parameter is mandatory as that
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will generate the tab separated output instead of the default pretty-printed
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output.
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An .avsc file named after the database and table name will be generated in the
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current working directory. Copy this file to the location pointed by the
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`avrodir` parameter of the avrorouter.
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Alternatively, you can also copy the output of the `mysql` command to a file and
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feed it into the script if you cannot execute the SQL command directly:
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# On the database server
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mysql -ss -u <user> -p -h <host> -P <port> -e 'DESCRIBE `<database>`.`<table>`' > schema.tsv
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# On the MaxScale server
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./cdc_one_schema.py <database> <table> < schema.tsv
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""", formatter_class=argparse.RawDescriptionHelpFormatter)
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parser.add_argument("DATABASE", help="The database name where the table is located")
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parser.add_argument("TABLE", help="The name of the table")
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opts = parser.parse_args(sys.argv[1:])
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def parse_field(row):
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res = dict()
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parts = row[1].lower().split('(')
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name = parts[0]
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res["real_type"] = name
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if len(parts) > 1 and name not in ["enum", "set", "decimal"]:
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res["length"] = int(parts[1].split(')')[0])
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else:
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res["length"] = -1
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type = "string"
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if name in ("date", "datetime", "time", "timestamp", "year", "tinytext", "text",
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"mediumtext", "longtext", "char", "varchar", "enum", "set"):
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type = "string"
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elif name in ("tinyblob", "blob", "mediumblob", "longblob", "binary", "varbinary"):
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type = "bytes"
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elif name in ("int", "smallint", "mediumint", "integer", "tinyint", "short", "bit"):
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type = "int"
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elif name in ("float"):
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type = "float"
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elif name in ("double", "decimal"):
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type = "double"
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elif name in ("long", "bigint"):
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type = "long"
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res["type"] = ["null", type]
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res["name"] = row[0].lower()
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return res
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try:
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schema = dict(namespace="MaxScaleChangeDataSchema.avro", type="record", name="ChangeRecord", fields=[])
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for line in sys.stdin:
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schema["fields"].append(parse_field(line.split('\t')))
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print("Creating: {}.{}.000001.avsc".format(opts.DATABASE, opts.TABLE))
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dest = open("{}.{}.000001.avsc".format(opts.DATABASE, opts.TABLE), 'w')
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dest.write(json.dumps(schema))
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dest.close()
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except Exception as e:
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print(e)
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exit(1)
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