Exemple #1
0
    def run_query(self, engine_type, line, cell):
        ip = get_ipython()

        try:
            args = self.parse_query_args(engine_type, line)
        except SystemExit:
            return

        self.code_list = []
        self.push_code("# translated code")
        query = self.build_query(cell)
        engine = self.build_engine(engine_type, args.database, args)

        # queue
        if args.queue:
            return self.submit_query(query, engine, args)

        # read_td_query
        self.push_code("_d = td.read_td_query(_q, _e)")
        if args.dry_run:
            return self.display_code_block()
        d = td.read_td_query(query, engine)

        # output
        r = self.post_process(d, args)
        if args.verbose:
            self.display_code_block()
        return r
Exemple #2
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    def run_query(self, engine_type, line, cell):
        ip = get_ipython()

        try:
            args = self.parse_query_args(engine_type, line)
        except SystemExit:
            return

        self.code_list = []
        self.push_code("# translated code")
        query = self.build_query(cell)
        engine = self.build_engine(engine_type, args.database, args)

        # queue
        if args.queue:
            return self.submit_query(query, engine, args)

        # read_td_query
        self.push_code("_d = td.read_td_query(_q, _e)")
        if args.dry_run:
            return self.display_code_block()
        d = td.read_td_query(query, engine)

        # output
        r = self.post_process(d, args)
        if args.verbose:
            self.display_code_block()
        return r
Exemple #3
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 def test_ok(self):
     read_td_query("select 1", self.engine)
     self.assert_query("select 1")
Exemple #4
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#!/usr/bin/python

import os
import sys
import pandas as pd
import pandas_td as td

print "load.py started"

con = td.connect(apikey="TD_APIKEY", endpoint='https://api.treasuredata.com')

# Type: Presto, Database: sample_datasets
engine = td.create_engine('presto:sample_datasets', con=con)

# Read Treasure Data query from into a DataFrame.
df = td.read_td_query('''
SELECT time, close FROM nasdaq LIMIT 100
''',
                      engine,
                      index_col='time',
                      parse_dates={'time': 's'})

print df.head

# Output DataFrame to TreasureData via Streaming Import. (If your dataset is large, this method is not recommended.)
td.to_td(df, 'workflow_temp.test_emr', con, if_exists='replace', index=False)

print "load.py finished"
Exemple #5
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 def test_ok(self):
     read_td_query('select 1', self.engine)
     self.assert_query('select 1')
Exemple #6
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 def test_ok(self):
     read_td_query('select 1', self.engine)
     self.assert_query('select 1')