By using Bigquery SQL (#standardSQL) , I want to extract 0.1e1 and 0.55e6 to another column and convert data type float -> int64.
\nsub_total:\n- !ruby/object:BigDecimal 18:0.1e1\n- !ruby/object:BigDecimal 18:0.55e6\ninvoice_number:\n- \n- '
My expected:
String | 1 | 550000
Use regexp_extract_all()
to extract the strings. Then convert to a float and then to an integer to sum them:
select t.*,
(select sum(cast(cast(val as float64) as int64))
from unnest(regexp_extract_all(str, '[0-9][.][0-9]*e[0-9]+')) val
)
from (select ' \nsub_total:\n- !ruby/object:BigDecimal 18:0.1e1\n- !ruby/object:BigDecimal 18:0.55e6\ninvoice_number:\n- \n- ' as str
) t;
EDIT:
If you want to extract these into an array, just use:
select t.*,
(select array_agg(cast(cast(val as float64) as int64))
from unnest(regexp_extract_all(str, '[0-9][.][0-9]*e[0-9]+')) val
) as int_array
from (select ' \nsub_total:\n- !ruby/object:BigDecimal 18:0.1e1\n- !ruby/object:BigDecimal 18:0.55e6\ninvoice_number:\n- \n- ' as str
) t
If you want these in separate columns, just use array operations.
EDIT:
If you want the values in separate columns:
select t.*, ar[safe_ordinal(1)] as col1,
ar[safe_ordinal(2)] as col2
from (select t.*,
array_agg(cast(cast(val as float64) as int64)) as ar
from (select ' \nsub_total:\n- !ruby/object:BigDecimal 18:0.1e1\n- !ruby/object:BigDecimal 18:0.55e6\ninvoice_number:\n- \n- ' as str
) t
) t
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