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Getting error while inserting array of json to bigQuery
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0
Error while reading data, error message: Failed to parse JSON: No object found when new array is started.; BeginArray returned false
I have created below sample json data. which is array of json. And each json object is in new line.
It works, when I load only one json object without keeping inside array.
JSON body -
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
google-bigquery
edited Jan 3 at 12:53
Tamir Klein
1,39111120
asked Jan 3 at 10:51
jyotijyoti
166
add a comment |
0
Error while reading data, error message: Failed to parse JSON: No object found when new array is started.; BeginArray returned false
I have created below sample json data. which is array of json. And each json object is in new line.
It works, when I load only one json object without keeping inside array.
JSON body -
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
google-bigquery
edited Jan 3 at 12:53
Tamir Klein
1,39111120
asked Jan 3 at 10:51
jyotijyoti
166
Can you explain how you do the insert command and provide an example
– Tamir Klein
Jan 3 at 11:17
I have uploaded this data in a file say -mydata.json in GCS bucket. Then from the google console webUI, I am creating table keeping schema auto-detect true. and uploading this file from GCS.
– jyoti
Jan 3 at 11:25
1
If you want the get 3 lines in BigQuery you can remove the from your JSON and it should work
– Tamir Klein
Jan 3 at 11:27
I did tried that. It dint work
– jyoti
Jan 4 at 8:56
add a comment |
0
0
0
Error while reading data, error message: Failed to parse JSON: No object found when new array is started.; BeginArray returned false
I have created below sample json data. which is array of json. And each json object is in new line.
It works, when I load only one json object without keeping inside array.
JSON body -
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
google-bigquery
edited Jan 3 at 12:53
Tamir Klein
1,39111120
asked Jan 3 at 10:51
jyotijyoti
166
Error while reading data, error message: Failed to parse JSON: No object found when new array is started.; BeginArray returned false
I have created below sample json data. which is array of json. And each json object is in new line.
It works, when I load only one json object without keeping inside array.
JSON body -
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
google-bigquery
google-bigquery
edited Jan 3 at 12:53
Tamir Klein
1,39111120
asked Jan 3 at 10:51
jyotijyoti
166
edited Jan 3 at 12:53
Tamir Klein
1,39111120
asked Jan 3 at 10:51
jyotijyoti
166
edited Jan 3 at 12:53
Tamir Klein
1,39111120
edited Jan 3 at 12:53
Tamir Klein
1,39111120
edited Jan 3 at 12:53
Tamir Klein
1,39111120
1,39111120
asked Jan 3 at 10:51
jyotijyoti
166
asked Jan 3 at 10:51
jyotijyoti
166
asked Jan 3 at 10:51
jyotijyoti
166
166
Can you explain how you do the insert command and provide an example
– Tamir Klein
Jan 3 at 11:17
I have uploaded this data in a file say -mydata.json in GCS bucket. Then from the google console webUI, I am creating table keeping schema auto-detect true. and uploading this file from GCS.
– jyoti
Jan 3 at 11:25
1
If you want the get 3 lines in BigQuery you can remove the from your JSON and it should work
– Tamir Klein
Jan 3 at 11:27
I did tried that. It dint work
– jyoti
Jan 4 at 8:56
add a comment |
Can you explain how you do the insert command and provide an example
– Tamir Klein
Jan 3 at 11:17
I have uploaded this data in a file say -mydata.json in GCS bucket. Then from the google console webUI, I am creating table keeping schema auto-detect true. and uploading this file from GCS.
– jyoti
Jan 3 at 11:25
1
If you want the get 3 lines in BigQuery you can remove the from your JSON and it should work
– Tamir Klein
Jan 3 at 11:27
I did tried that. It dint work
– jyoti
Jan 4 at 8:56
Can you explain how you do the insert command and provide an example
– Tamir Klein
Jan 3 at 11:17
Can you explain how you do the insert command and provide an example
– Tamir Klein
Jan 3 at 11:17
I have uploaded this data in a file say -mydata.json in GCS bucket. Then from the google console webUI, I am creating table keeping schema auto-detect true. and uploading this file from GCS.
– jyoti
Jan 3 at 11:25
I have uploaded this data in a file say -mydata.json in GCS bucket. Then from the google console webUI, I am creating table keeping schema auto-detect true. and uploading this file from GCS.
– jyoti
Jan 3 at 11:25
1
1
If you want the get 3 lines in BigQuery you can remove the from your JSON and it should work
– Tamir Klein
Jan 3 at 11:27
If you want the get 3 lines in BigQuery you can remove the from your JSON and it should work
– Tamir Klein
Jan 3 at 11:27
I did tried that. It dint work
– jyoti
Jan 4 at 8:56
I did tried that. It dint work
– jyoti
Jan 4 at 8:56
add a comment |
1 Answer
1
active
oldest
votes
1
As explained in the documentation for loading JSON data stored in GCS to BigQuery, the JSON data must be in Newline Delimited JSON format, in which each line is a valid independent JSON value, therefore instead of (1), you should use (2)):
(1)
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
(2)
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
UPDATE:
Here a step-by-step guide in order to show how this works:
Create a JSON file (file.json in my case) with the content I shared (make sure to remove the array brackets and also the commas , at the end of each line:
$ cat file.json
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
Load the file to BQ, running a command like below:
$ bq load --autodetect --source_format=NEWLINE_DELIMITED_JSON dataset.table file.json
Upload complete.
Waiting on bqjob_XXXXXXXXXXX ... (1s) Current status: DONE
Now query the table in order to check that the content was uploaded correctly:
$ bq query --use_legacy_sql=false "SELECT * FROM dataset.table"
Waiting on bqjob_r3ef14ac0d0a6c856_000001681819e9fc_1 ... (0s) Current status: DONE
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| sellerId | price | create_time | marktet_place | brand | country_code | category_name | gtin | item_name |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| 234 | 2239 | 2017-07-19 16:00:46 | india | Om-Publication | IN | books | 123456 | dfkhjf |
| 234 | 2239 | 2017-08-19 16:00:46 | flipMe | Toy | IN | toy | 1234234445 | toy-gun |
| 234 | 2239 | 2017-09-19 16:00:46 | drone-maker | Drone-XX | IN | drone | 12342356456 | Drone |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
answered Jan 3 at 12:59
dsestodsesto
4,46121226
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
add a comment |
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1 Answer
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1 Answer
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1
As explained in the documentation for loading JSON data stored in GCS to BigQuery, the JSON data must be in Newline Delimited JSON format, in which each line is a valid independent JSON value, therefore instead of (1), you should use (2)):
(1)
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
(2)
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
UPDATE:
Here a step-by-step guide in order to show how this works:
Create a JSON file (file.json in my case) with the content I shared (make sure to remove the array brackets and also the commas , at the end of each line:
$ cat file.json
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
Load the file to BQ, running a command like below:
$ bq load --autodetect --source_format=NEWLINE_DELIMITED_JSON dataset.table file.json
Upload complete.
Waiting on bqjob_XXXXXXXXXXX ... (1s) Current status: DONE
Now query the table in order to check that the content was uploaded correctly:
$ bq query --use_legacy_sql=false "SELECT * FROM dataset.table"
Waiting on bqjob_r3ef14ac0d0a6c856_000001681819e9fc_1 ... (0s) Current status: DONE
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| sellerId | price | create_time | marktet_place | brand | country_code | category_name | gtin | item_name |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| 234 | 2239 | 2017-07-19 16:00:46 | india | Om-Publication | IN | books | 123456 | dfkhjf |
| 234 | 2239 | 2017-08-19 16:00:46 | flipMe | Toy | IN | toy | 1234234445 | toy-gun |
| 234 | 2239 | 2017-09-19 16:00:46 | drone-maker | Drone-XX | IN | drone | 12342356456 | Drone |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
answered Jan 3 at 12:59
dsestodsesto
4,46121226
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
add a comment |
1
As explained in the documentation for loading JSON data stored in GCS to BigQuery, the JSON data must be in Newline Delimited JSON format, in which each line is a valid independent JSON value, therefore instead of (1), you should use (2)):
(1)
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
(2)
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
UPDATE:
Here a step-by-step guide in order to show how this works:
Create a JSON file (file.json in my case) with the content I shared (make sure to remove the array brackets and also the commas , at the end of each line:
$ cat file.json
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
Load the file to BQ, running a command like below:
$ bq load --autodetect --source_format=NEWLINE_DELIMITED_JSON dataset.table file.json
Upload complete.
Waiting on bqjob_XXXXXXXXXXX ... (1s) Current status: DONE
Now query the table in order to check that the content was uploaded correctly:
$ bq query --use_legacy_sql=false "SELECT * FROM dataset.table"
Waiting on bqjob_r3ef14ac0d0a6c856_000001681819e9fc_1 ... (0s) Current status: DONE
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| sellerId | price | create_time | marktet_place | brand | country_code | category_name | gtin | item_name |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| 234 | 2239 | 2017-07-19 16:00:46 | india | Om-Publication | IN | books | 123456 | dfkhjf |
| 234 | 2239 | 2017-08-19 16:00:46 | flipMe | Toy | IN | toy | 1234234445 | toy-gun |
| 234 | 2239 | 2017-09-19 16:00:46 | drone-maker | Drone-XX | IN | drone | 12342356456 | Drone |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
answered Jan 3 at 12:59
dsestodsesto
4,46121226
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
add a comment |
1
1
1
As explained in the documentation for loading JSON data stored in GCS to BigQuery, the JSON data must be in Newline Delimited JSON format, in which each line is a valid independent JSON value, therefore instead of (1), you should use (2)):
(1)
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
(2)
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
UPDATE:
Here a step-by-step guide in order to show how this works:
Create a JSON file (file.json in my case) with the content I shared (make sure to remove the array brackets and also the commas , at the end of each line:
$ cat file.json
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
Load the file to BQ, running a command like below:
$ bq load --autodetect --source_format=NEWLINE_DELIMITED_JSON dataset.table file.json
Upload complete.
Waiting on bqjob_XXXXXXXXXXX ... (1s) Current status: DONE
Now query the table in order to check that the content was uploaded correctly:
$ bq query --use_legacy_sql=false "SELECT * FROM dataset.table"
Waiting on bqjob_r3ef14ac0d0a6c856_000001681819e9fc_1 ... (0s) Current status: DONE
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| sellerId | price | create_time | marktet_place | brand | country_code | category_name | gtin | item_name |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| 234 | 2239 | 2017-07-19 16:00:46 | india | Om-Publication | IN | books | 123456 | dfkhjf |
| 234 | 2239 | 2017-08-19 16:00:46 | flipMe | Toy | IN | toy | 1234234445 | toy-gun |
| 234 | 2239 | 2017-09-19 16:00:46 | drone-maker | Drone-XX | IN | drone | 12342356456 | Drone |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
answered Jan 3 at 12:59
dsestodsesto
4,46121226
As explained in the documentation for loading JSON data stored in GCS to BigQuery, the JSON data must be in Newline Delimited JSON format, in which each line is a valid independent JSON value, therefore instead of (1), you should use (2)):
(1)
[
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" },
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" },
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
]
(2)
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
UPDATE:
Here a step-by-step guide in order to show how this works:
Create a JSON file (file.json in my case) with the content I shared (make sure to remove the array brackets and also the commas , at the end of each line:
$ cat file.json
{ "item_name": "dfkhjf", "gtin": "123456", "brand": "Om-Publication","category_name": "books", "country_code": "IN", "marktet_place": "india", "price": 2239, "sellerId": 234, "create_time": "2017-07-19T16:00:46.000Z" }
{ "item_name": "toy-gun", "gtin": "1234234445", "brand": "Toy", "category_name": "toy", "country_code": "IN", "marktet_place": "flipMe", "price": 2239, "sellerId": 234, "create_time": "2017-08-19T16:00:46.000Z" }
{ "item_name": "Drone", "gtin": "12342356456", "brand": "Drone-XX", "category_name": "drone", "country_code": "IN", "marktet_place": "drone-maker", "price": 2239, "sellerId": 234, "create_time": "2017-09-19T16:00:46.000Z" }
Load the file to BQ, running a command like below:
$ bq load --autodetect --source_format=NEWLINE_DELIMITED_JSON dataset.table file.json
Upload complete.
Waiting on bqjob_XXXXXXXXXXX ... (1s) Current status: DONE
Now query the table in order to check that the content was uploaded correctly:
$ bq query --use_legacy_sql=false "SELECT * FROM dataset.table"
Waiting on bqjob_r3ef14ac0d0a6c856_000001681819e9fc_1 ... (0s) Current status: DONE
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| sellerId | price | create_time | marktet_place | brand | country_code | category_name | gtin | item_name |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
| 234 | 2239 | 2017-07-19 16:00:46 | india | Om-Publication | IN | books | 123456 | dfkhjf |
| 234 | 2239 | 2017-08-19 16:00:46 | flipMe | Toy | IN | toy | 1234234445 | toy-gun |
| 234 | 2239 | 2017-09-19 16:00:46 | drone-maker | Drone-XX | IN | drone | 12342356456 | Drone |
+----------+-------+---------------------+---------------+----------------+--------------+---------------+-------------+-----------+
answered Jan 3 at 12:59
dsestodsesto
4,46121226
edited Jan 4 at 9:25
answered Jan 3 at 12:59
dsestodsesto
4,46121226
answered Jan 3 at 12:59
dsestodsesto
4,46121226
answered Jan 3 at 12:59
dsestodsesto
4,46121226
4,46121226
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
add a comment |
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
@jyoti I have updated my answer, showing the step-by-step process to make the load work. If you still encounter issues with this, please be as specific as possible with the issues / errors that you are seeing.
– dsesto
Jan 4 at 9:26
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
Thanks. It works fine.
– jyoti
Jan 4 at 10:36
add a comment |
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Can you explain how you do the insert command and provide an example
– Tamir Klein
Jan 3 at 11:17
I have uploaded this data in a file say -mydata.json in GCS bucket. Then from the google console webUI, I am creating table keeping schema auto-detect true. and uploading this file from GCS.
– jyoti
Jan 3 at 11:25
1
If you want the get 3 lines in BigQuery you can remove the from your JSON and it should work
– Tamir Klein
Jan 3 at 11:27
I did tried that. It dint work
– jyoti
Jan 4 at 8:56