问题描述
我正在尝试实现将数据存储到拼花结构的功能,将其输出到拼花文件,如果输出拼花文件存在,请使用dask追加拼花结构
self.flag = True
self.columns = ['original_ids','masked_ids','masked_labels','masked_positions']
fields = [
pa.field('original_ids',pa.list_(pa.int32())),pa.field('masked_ids',pa.field('masked_labels',pa.field('masked_positions',]
self.myschema = pa.schema(fields)
df_input = pd.DataFrame({'original_ids' : [original_ids],'masked_ids' : [masked_ids],'masked_labels' : [masked_lm_ids],'masked_positions': [masked_lm_positions]})
df_input = dd.from_pandas(df_input,npartitions=1)
if self.flag:
dd.to_parquet(df_input,self.output_f,engine='pyarrow',compression='gzip',write_index=False,compute=True,append=False,ignore_divisions=True,schema=self.myschema)
self.flag = False
else:
dd.to_parquet(df_input,append=True,schema=self.myschema)
但是我遇到下一个错误:
File "/usr/local/lib/python3.7/site-packages/dask/dataframe/io/parquet/core.py",line 424,in to_parquet
**kwargs_pass
File "/usr/local/lib/python3.7/site-packages/dask/dataframe/io/parquet/arrow.py",line 583,in initialize_write
"Previous: {} | New: {}".format(names,list(df.columns))
ValueError: Appended columns not the same.
Previous: ['item','item','item'] | New: ['original_ids','masked_positions']
如何更改现有代码以解决此错误?
解决方法
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