BigQuery select alias using regex_extract_all in standard mode - sql

I'm unable to reference a SELECT alias in BigQuery (standard mode).
Trying to do this query:
SELECT
REGEXP_EXTRACT_ALL(text,
r"(<div \w+>)") AS matches
FROM
regex.test
WHERE
matches IS NOT NULL
Here are steps to reproduce.
bq mk regex
bq mk -t regex.test id:integer,text:string
echo '{"id":1, "text":"<div a>"}' | bq insert regex.test
echo '{"id":2, "text":"<div b>"}' | bq insert regex.test
echo '{"id":3, "text":"<div>"}' | bq insert regex.test
bq query --use_legacy_sql=false "select REGEXP_EXTRACT_ALL(text, r\"(<div \w+>)\") AS matches FROM regex.test WHERE id IS NOT NULL"
+--------------+
| matches |
+--------------+
| [u'<div b>'] |
| [] |
| [u'<div a>'] |
+--------------+
When I try to reference the matches alias, I see an error:
bq query --use_legacy_sql=false "select REGEXP_EXTRACT_ALL(text, r\"(<div \w+>)\") AS matches FROM regex.test WHERE matches IS NOT NULL"
Error in query string: Error processing job 'myname': Unrecognized name:
matches
I am unable to reference the alias matches, and am unable to filter those results WHERE matches IS NOT NULL.
Does anyone know what I'm doing incorrectly here?
Thanks!

Even in BQ, you can't use a column alias in the where clause. Just use a subquery:
SELECT t.*
FROM (SELECT REGEXP_EXTRACT_ALL(text, r"(<div \w+>)") AS matches
FROM regex.test
) t
WHERE ARRAY_LENGTH(matches) > 0

Check out SELECT list aliases visibility
The reason why comparing with NULL does't work for REGEXP_EXTRACT_ALL is because
it returns array so checking with length is the way. Comparing with NULL still will work for REGEXP_EXTRACT
In addition, ideally you should be able use REGEX_MATCH to filter out records w/o matches, but looks like there is an issue with this function in standard mode

Related

Cannot define a BigQuery column as ARRAY<STRUCT<INT64, INT64>>

I am trying to define a table that has a column that is an arrays of structs using standard sql. The docs here suggest this should work:
CREATE OR REPLACE TABLE ta_producer_conformed.FundStaticData
(
id STRING,
something ARRAY<STRUCT<INT64,INT64>>
)
but I get an error:
$ bq query --use_legacy_sql=false --location=asia-east2 "$(cat xxxx.ddl.temp.sql | awk 'ORS=" "')"
Waiting on bqjob_r6735048b_00000173ed2d9645_1 ... (0s) Current status: DONE
Error in query string: Error processing job 'xxxxx-10843454-yyyyy-
dev:bqjob_r6735048b_00000173ed2d9645_1': Illegal field name:
Changing the field (edit: column!) name does not fix it. What I am doing wrong?
The fields within the struct need to be named so this works:
CREATE OR REPLACE TABLE ta_producer_conformed.FundStaticData
(
id STRING,
something ARRAY<STRUCT<x INT64,y INT64>>
)

How to pass variables as expressions in Bigquery timestamp_diff

Currently, I am trying to check the timestamp difference in hours with expressions passed as a variables through the command line. But I am unable to get the desired output when passing through variables.
a=2019-11-1812:49:43
b=2020-04-04 20:32:33
timediff=$(bq query --nouse_legacy_sql \ 'SELECT TIMESTAMP_DIFF(TIMESTAMP "'$a'", TIMESTAMP "$b", HOUR);')
Looks like the variables I am passing are not recognized. Can someone help me understand the correct way of doing it?
In addition to Hemant's answer to further contribute with the community I will provide an alternative method.
As stated in the documentation, it is possible to use parameterized queries in BigQuery using the Command-Line interface (CLI). You need to use the flag --parameter within your bq query command in order to specify the varibles/parameters you will use.
This flag must be in the format name:type:value. Although, if type is omitted it will used as STRING. As an example:
timediff= $(bq query --use_legacy_sql=false
--parameter='ts_value:TIMESTAMP:2016-12-07 08:00:00'
--parameter='ts_value1:TIMESTAMP:2016-12-07 09:00:00'
'SELECT
TIMESTAMP_DIFF(#ts_value,#ts_value1, HOUR)')
echo $timediff
And the output is:
+-----+
| f0_ |
+-----+
| -1 |
+-----+
You could use --format=csv to format the output as a line:
f0_ -1
In addition, I would like to add that you can use aliases to simplify your query. For instance:
alias bq_set="bq query --use_legacy_sql=false --format=pretty"
timediff=$(bq_set
--parameter='ts_value:TIMESTAMP:2016-12-07 08:00:00'
--parameter='ts_value1:TIMESTAMP:2016-12-07 09:00:00'
'SELECT
TIMESTAMP_DIFF(#ts_value,#ts_value1, HOUR)')
echo $timediff
The output:
+-----+
| f0_ |
+-----+
| -1 |
+-----+
As you can see it was just an alternative to simply your query.
Try using single quotes around the variables, but double-quotes around the entire query. For example:
a='2019-11-18 12:49:43'
b='2020-04-04 20:32:33'
timediff=$(bq query --format=csv --nouse_legacy_sql "SELECT TIMESTAMP_DIFF(TIMESTAMP '$a', TIMESTAMP '$b', HOUR);" | awk
'NR>1')
echo $timediff
-3319

Create table name in Hive using variable subsitution

I'd like to create a table name in Hive using variable substitution.
E.g.
SET market = "AUS";
create table ${hiveconf:market_cd}_active as ... ;
But it fails. Any idea how it can be achieved?
You should use backtrics (``) for name for that, like:
SET market=AUS;
CREATE TABLE `${hiveconf:market}_active` AS SELECT 1;
DESCRIBE `${hiveconf:market}_active`;
Example run script.sql from beeline:
$ beeline -u jdbc:hive2://localhost:10000/ -n hadoop -f script.sql
Connecting to jdbc:hive2://localhost:10000/
...
0: jdbc:hive2://localhost:10000/> SET market=AUS;
No rows affected (0.057 seconds)
0: jdbc:hive2://localhost:10000/> CREATE TABLE `${hiveconf:market}_active` AS SELECT 1;
...
INFO : Dag name: CREATE TABLE `AUS_active` AS SELECT 1(Stage-1)
...
INFO : OK
No rows affected (12.402 seconds)
0: jdbc:hive2://localhost:10000/> DESCRIBE `${hiveconf:market}_active`;
...
INFO : Executing command(queryId=hive_20190801194250_1a57e6ec-25e7-474d-b31d-24026f171089): DESCRIBE `AUS_active`
...
INFO : OK
+-----------+------------+----------+
| col_name | data_type | comment |
+-----------+------------+----------+
| _c0 | int | |
+-----------+------------+----------+
1 row selected (0.132 seconds)
0: jdbc:hive2://localhost:10000/> Closing: 0: jdbc:hive2://localhost:10000/
Markovitz's criticisms are correct, but do not produce a correct solution. In summary, you can use variable substitution for things like string comparisons, but NOT for things like naming variables and tables. If you know much about language compilers and parsers, you get a sense of why this would be true. You could construct such behavior in a language like Java, but SQL is just too crude.
Running that code produces an error, "cannot recognize input near '$' '{' 'hiveconf' in table name".(I am running Hortonworks, Hive 1.2.1000.2.5.3.0-37).
I spent a couple hours Googling and experimenting with different combinations of punctuation, different tools ranging from command line, Ambari, and DB Visualizer, etc., and I never found any way to construct a table name or a field name with a variable value. I think you're stuck with using variables in places where you need a string literal, like comparisons, but you cannot use them in place of reserved words or existing data structures, if that makes sense. By example:
--works
drop table if exists user_rgksp0.foo;
-- Does NOT work:
set MY_FILE_NAME=user_rgksp0.foo;
--drop table if exists ${hiveconf:MY_FILE_NAME};
-- Works
set REPORT_YEAR=2018;
select count(1) as stationary_event_count, day, zip_code, route_id from aaetl_dms_pub.dms_stationary_events_pub
where part_year = '${hiveconf:REPORT_YEAR}'
-- Does NOT Work:
set MY_VAR_NAME='zip_code'
select count(1) as stationary_event_count, day, '${hiveconf:MY_VAR_NAME}', route_id from aaetl_dms_pub.dms_stationary_events_pub
where part_year = 2018
The qualifies should be removed
You're using the wrong variable name
SET market=AUS; create table ${hiveconf:market}_active as select 1;

Remove header from query result in bq command line

I have a query $(bq query --format=csv "select value from $BQConfig where parameter = 'Columnwidth'") .
The output of the query in csv format is :
value
3 4 6 8
here i want to get only the result 3 4 6 8 not the value which is just a header.
I have gone through google document and found that --noprint_header works only for bq extract. i didnt find anything for bq query.
If you are on a bash shell, you could use sed or awk to skip the first lines:
bq query --format=csv "SELECT 1 x" | sed "2 d"
Or:
bq query --format=csv "SELECT 1 x" | awk 'NR>2'
You can use the --skip_leading_rows argument (source : Create a table from a file)

BigQuery Table Wildcard Function Aliases?

According to documentation here, I should be able to reference a table wildcard function as an alias:
...
FROM
[project_name:]datasetId.tableId |
(subselect_clause) |
table wildcard function
[[AS] alias]
...
But, when I try to do this, things fail:
bq query "SELECT * FROM TABLE_QUERY(my_data, \"TIMESTAMP(table_id) BETWEEN TIMESTAMP('2014-05-21') AND TIMESTAMP('2014-06-10')\") AS blah WHERE blah.foo = 5 LIMIT 30"
Waiting on bqjob_some_id ... (0s) Current status: DONE
BigQuery error in query operation: Error processing job 'some_id': Field 'blah.foo' not found in table 'mydata.20140521'; did you mean 'foo2'?
I want to do a join on the data returned from the wildcard function treating it as a single table, so aliasing it is very important to me. Ideas?
The page you linked to does mention "Do not use alias with a table wildcard function."
You might want to try
SELECT *
FROM (SELECT * FROM TABLE_QUERY(--insert query here--)) AS blah
WHERE blah.foo = 5 LIMIT 30"