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@ -32,7 +32,7 @@ import nzpy as nz #--- netezza drivers
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import sqlite3
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import sqlite3
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import copy
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import copy
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import os
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import os
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import time
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class SQLRW :
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class SQLRW :
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lock = RLock()
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lock = RLock()
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@ -357,7 +357,7 @@ class SQLWriter(SQLRW,Writer):
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#
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#
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# Writing with schema information ...
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# Writing with schema information ...
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rows = _info.iloc[i].to_sql(self.table,self._engine,schema=self.schema,if_exists='append',index=False)
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rows = _info.iloc[i].to_sql(self.table,self._engine,schema=self.schema,if_exists='append',index=False)
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time.sleep(1)
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else:
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else:
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_fields = ",".join(self.fields)
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_fields = ",".join(self.fields)
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_sql = _sql.replace(":fields",_fields)
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_sql = _sql.replace(":fields",_fields)
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@ -495,10 +495,11 @@ class BQWriter(BigQuery,Writer):
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# _df.to_gbq(**self.mode) #if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000)
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# _df.to_gbq(**self.mode) #if_exists='append',destination_table=partial,credentials=credentials,chunksize=90000)
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#
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#
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# Let us adjust the chunking here
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# Let us adjust the chunking here
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self._chunkks = 10 if _df.shape[0] > SQLRW.MAX_CHUNK and self._chunks == 1 else self._chunks
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self._chunks = 10 if _df.shape[0] > SQLRW.MAX_CHUNK and self._chunks == 1 else self._chunks
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_indexes = np.array_split(np.arange(_df.shape[0]),self._chunks)
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_indexes = np.array_split(np.arange(_df.shape[0]),self._chunks)
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for i in _indexes :
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for i in _indexes :
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_df.iloc[i].to_gbq(**self.mode)
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_df.iloc[i].to_gbq(**self.mode)
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time.sleep(1)
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pass
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pass
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#
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#
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# Aliasing the big query classes allowing it to be backward compatible
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# Aliasing the big query classes allowing it to be backward compatible
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