CODEWITHSUNDEEP
pythongoogle-bigquery
Ishank Gulati
Ishank Gulati

Reputation: 655

Bad Request error while querying data from bigquery in a loop

I am querying data from bigquery using get_data_from_bq method mentioned below in a loop:

def get_data_from_bq(product_ids):
    format_strings = ','.join([("\"" + str(_id) + "\"") for _id in product_ids])
    query = "select productId, eventType, count(*) as count from [xyz:xyz.abc] where productId in (" + format_strings + ") and eventTime > CAST(\"" + time_thresh +"\" as DATETIME) group by eventType, productId order by productId;"
    query_job = bigquery_client.query(query, job_config=job_config)
    return query_job.result()

While for the first query(iteration) data returned is correct, all the subsequent queries are throwing the below-mentioned exception

    results = query_job.result()
  File "/home/ishank/.local/lib/python2.7/site-packages/google/cloud/bigquery/job.py", line 2415, in result
    super(QueryJob, self).result(timeout=timeout)
  File "/home/ishank/.local/lib/python2.7/site-packages/google/cloud/bigquery/job.py", line 660, in result
    return super(_AsyncJob, self).result(timeout=timeout)
  File "/home/ishank/.local/lib/python2.7/site-packages/google/api_core/future/polling.py", line 120, in result
    raise self._exception
google.api_core.exceptions.BadRequest: 400 Cannot explicitly modify anonymous table xyz:_bf4dfedaed165b3ee62d8a9efa.anon1db6c519_b4ff_dbc67c17659f

Edit 1: Below is a sample query which is throwing the above exception. Also, this is running smoothly in bigquery console.

select productId, eventType, count(*) as count from [xyz:xyz.abc] where productId in ("168561","175936","161684","161681","161686") and eventTime > CAST("2018-05-30 11:21:19" as DATETIME) group by eventType, productId order by productId;

Upvotes: 6

Views: 4268

Answers (2)

Kevin Chien
Kevin Chien

Reputation: 99

Edited:

Federico Bertola is correct on the solution and the temporary table that is written to by BigQuery see this link.

I did not get an error with my sample code querying from a public table last time, but I can reproduce the error today, so it is possible this symptom can appear intermittent. I can confirm the error is resolved with Federico’s suggestion.

You can get the “super(QueryJob, self).result(timeout=timeout)” error when the query string lacks quotes around the parameters in the query. It seems you have made a similar mistake with the parameter format_strings in your query. You can fix this problem by ensuring there is quotes escaped around the parameter:

(" + myparam + ")

, should be written as

(\"" + myparam + "\")

You should examine your query string where you use parameters, and start with a simpler query such as

select productId, eventType, count(*) as count from `xyz:xyz.abc`

, and grow your query as you go.

For the record, here is what worked for me:

from google.cloud import bigquery
client = bigquery.Client()
job_config = bigquery.QueryJobConfig()

def get_data_from_bq(myparam):  
    query = "SELECT word, SUM(word_count) as count FROM `publicdata.samples.shakespeare` WHERE word IN (\""+myparam+"\") GROUP BY word;"
    query_job = client.query(query, job_config=job_config) 
    return query_job.result()

mypar = "raisin"
x = 1
while (x<9):
    iterator = get_data_from_bq(mypar)
    print "==%d iteration==" % x
    x += 1

Upvotes: 1

Federico Bertola
Federico Bertola

Reputation: 96

I had the exact same issue. The problem is not the query itself, it's that you are most likely reusing the same QueryJobConfig. When you perform a query, unless you set a destination, BigQuery stores the result in an anonymous table which is stated in the QueryJobConfig object. If you reuse this configuration, BigQuery tries to store the new result in the same anonymous table, hence the error. I don't particularly like this behaviour, to be honest.

You should rewrite your code like that:

def get_data_from_bq(product_ids):
    format_strings = ','.join([("\"" + str(_id) + "\"") for _id in product_ids])
    query = "select productId, eventType, count(*) as count from [xyz:xyz.abc] where productId in (" + format_strings + ") and eventTime > CAST(\"" + time_thresh +"\" as DATETIME) group by eventType, productId order by productId;"
    query_job = bigquery_client.query(query, job_config=QueryJobConfig())
    return query_job.result()

Hope this helps!

Upvotes: 8

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