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124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
"""
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dependency:
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- spark and SPARK_HOME environment variable must be set
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"""
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from pyspark.sql import SparkSession
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from pyspark import SparkContext
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import copy
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class Iceberg :
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def __init__(self,**_args):
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"""
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providing catalog meta information (you must get this from apache iceberg)
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"""
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#
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# Turning off logging (it's annoying & un-professional)
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#
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# _spconf = SparkContext()
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# _spconf.setLogLevel("ERROR")
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#
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# @TODO:
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# Make arrangements for additional configuration elements
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#
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self._session = SparkSession.builder.getOrCreate()
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# self._session.sparkContext.setLogLevel("ERROR")
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self._catalog = self._session.catalog
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self._table = _args['table'] if 'table' in _args else None
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if 'catalog' in _args :
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#
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# Let us set the default catalog
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self._catalog.setCurrentCatalog(_args['catalog'])
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else:
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# No current catalog has been set ...
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pass
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if 'database' in _args :
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self._database = _args['database']
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self._catalog.setCurrentDatabase(self._database)
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else:
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#
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# Should we set the default as the first one if available ?
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#
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pass
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self._catalogName = self._catalog.currentCatalog()
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self._databaseName = self._catalog.currentDatabase()
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def meta (self,**_args) :
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"""
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This function should return the schema of a table (only)
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"""
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_schema = []
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try:
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_tableName = self._getPrefix(**_args) + f".{_args['table']}"
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_tmp = self._session.table(_tableName).schema
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_schema = _tmp.jsonValue()['fields']
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for _item in _schema :
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del _item['nullable'],_item['metadata']
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except Exception as e:
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pass
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return _schema
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def _getPrefix (self,**_args):
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_catName = self._catalogName if 'catalog' not in _args else _args['catalog']
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_datName = self._databaseName if 'database' not in _args else _args['database']
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return '.'.join([_catName,_datName])
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def has (self,**_args):
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try:
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_prefix = self._getPrefix(**_args)
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if _prefix.endswith('.') :
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return False
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return _args['table'] in [_item.name for _item in self._catalog.listTables(_prefix)]
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except Exception as e:
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print (e)
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return False
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def apply(self,sql):
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pass
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def close(self):
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self._session.stop()
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class Reader(Iceberg) :
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def __init__(self,**_args):
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super().__init__(**_args)
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def read(self,**_args):
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_table = self._table
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_prefix = self._getPrefix(**_args)
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if 'table' in _args or _table:
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_table = _args['table'] if 'table' in _args else _table
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_table = _prefix + f'.{_table}'
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return self._session.table(_table).toPandas()
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else:
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sql = _args['sql']
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return self._session.sql(sql).toPandas()
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pass
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class Writer (Iceberg):
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"""
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Writing data to an Apache Iceberg data warehouse (using pyspark)
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"""
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def __init__(self,**_args):
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super().__init__(**_args)
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self._mode = 'append' if 'mode' not in _args else _args['mode']
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self._table = None if 'table' not in _args else _args['table']
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def write(self,_data,**_args):
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_prefix = self._getPrefix(**_args)
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if 'table' not in _args and not self._table :
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raise Exception (f"Table Name should be specified for catalog/database {_prefix}")
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rdd = self._session.createDataFrame(_data,verifySchema=False)
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_mode = self._mode if 'mode' not in _args else _args['mode']
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_table = self._table if 'table' not in _args else _args['table']
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# print (_data.shape,_mode,_table)
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if not self._session.catalog.tableExists(_table):
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# # @TODO:
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# # add partitioning information here
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rdd.writeTo(_table).using('iceberg').create()
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# # _mode = 'overwrite'
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# # rdd.write.format('iceberg').mode(_mode).saveAsTable(_table)
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else:
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# rdd.writeTo(_table).append()
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# # _table = f'{_prefix}.{_table}'
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rdd.write.format('iceberg').mode('append').save(_table)
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