Forked from clemsos/csv_to_elastic_search_bulk_insert.py
Created
February 18, 2014 10:54
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from pyelasticsearch import ElasticSearch | |
import pandas as pd | |
from time import time | |
root_path="/home/clemsos/Dev/mitras/" | |
raw_data_path=root_path+"data/" | |
csv_filename="week10.csv" | |
t0=time() | |
# size of the bulk | |
chunksize=5000 | |
# open csv file | |
f = open(raw_data_path+csv_filename) # read csv | |
# parse csv with pandas | |
csvfile=pd.read_csv(f, iterator=True, chunksize=chunksize) | |
# init ElasticSearch | |
es = ElasticSearch('http://localhost:9200/') | |
# init index | |
try : | |
es.delete_index("weiboscope") | |
except : | |
pass | |
es.create_index("weiboscope") | |
# start bulk indexing | |
print "now indexing %s..."%(csv_filename) | |
for i,df in enumerate(csvfile): | |
print i | |
records=df.where(pd.notnull(df), None).T.to_dict() | |
list_records=[records[it] for it in records] | |
try : | |
es.bulk_index("weiboscope","tweet",list_records) | |
except : | |
print "error!, skiping some tweets sorry" | |
pass | |
print "done in %.3fs"%(time()-t0) |
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