All columns have NULLABLE problem when destination table with overwrite preference on Bigquery
I've running a query to make changes column data type and choose destination table queried table itself. I choose write preferece "Overwrite table". Table all columns are REQUIRED and table is not empty. But after run the query, all columns mode change NULLABLE. My cast query like :
SELECT
CAST(id AS STRING) as id, column1, column2
FROM
dataset.mytable;
Is it always that way, or I'm making a mistake?
google-bigquery asked Dec 27 at 12:36
Ebru Peker
224
add a comment |
I've running a query to make changes column data type and choose destination table queried table itself. I choose write preferece "Overwrite table". Table all columns are REQUIRED and table is not empty. But after run the query, all columns mode change NULLABLE. My cast query like :
SELECT
CAST(id AS STRING) as id, column1, column2
FROM
dataset.mytable;
Is it always that way, or I'm making a mistake?
google-bigquery asked Dec 27 at 12:36
Ebru Peker
224
What happens if you set the destination table to a new table, rather than overwriting the source table - do you get the desired results? Since you cannot change the data types in a table (stackoverflow.com/questions/53745229/…) I would not expect the overwrite function to work in this way.
– Ben P
Dec 27 at 13:39
add a comment |
I've running a query to make changes column data type and choose destination table queried table itself. I choose write preferece "Overwrite table". Table all columns are REQUIRED and table is not empty. But after run the query, all columns mode change NULLABLE. My cast query like :
SELECT
CAST(id AS STRING) as id, column1, column2
FROM
dataset.mytable;
Is it always that way, or I'm making a mistake?
google-bigquery asked Dec 27 at 12:36
Ebru Peker
224
I've running a query to make changes column data type and choose destination table queried table itself. I choose write preferece "Overwrite table". Table all columns are REQUIRED and table is not empty. But after run the query, all columns mode change NULLABLE. My cast query like :
SELECT
CAST(id AS STRING) as id, column1, column2
FROM
dataset.mytable;
Is it always that way, or I'm making a mistake?
google-bigquery google-bigquery asked Dec 27 at 12:36
Ebru Peker
224
asked Dec 27 at 12:36
Ebru Peker
224
asked Dec 27 at 12:36
Ebru Peker
224
asked Dec 27 at 12:36
Ebru Peker
224
asked Dec 27 at 12:36
Ebru Peker
224
224
What happens if you set the destination table to a new table, rather than overwriting the source table - do you get the desired results? Since you cannot change the data types in a table (stackoverflow.com/questions/53745229/…) I would not expect the overwrite function to work in this way.
– Ben P
Dec 27 at 13:39
add a comment |
What happens if you set the destination table to a new table, rather than overwriting the source table - do you get the desired results? Since you cannot change the data types in a table (stackoverflow.com/questions/53745229/…) I would not expect the overwrite function to work in this way.
– Ben P
Dec 27 at 13:39
What happens if you set the destination table to a new table, rather than overwriting the source table - do you get the desired results? Since you cannot change the data types in a table (stackoverflow.com/questions/53745229/…) I would not expect the overwrite function to work in this way.
– Ben P
Dec 27 at 13:39
What happens if you set the destination table to a new table, rather than overwriting the source table - do you get the desired results? Since you cannot change the data types in a table (stackoverflow.com/questions/53745229/…) I would not expect the overwrite function to work in this way.
– Ben P
Dec 27 at 13:39
add a comment |
2 Answers
2
active
oldest
votes
I'm making a mistake?
Nope, it is by design, when you overwrite table original schema is lost and columns are nullable by default
Is it always that way?
You should use CREATE OR REPLACE TABLE DDL statement to achieve your goal. Something like below
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable`
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
add a comment |
Thank you for your help, it works fine. But, partitioned by ingestion time tables do not work this way. I can't achieve overwrite with query like:
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) PARTITION BY DATE(_PARTITIONTIME) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable` where _PARTITIONTIME is not null;
edited 2 days ago
iamdanchiv
2,00032028
answered 2 days ago
Ebru Peker
224
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
I'm making a mistake?
Nope, it is by design, when you overwrite table original schema is lost and columns are nullable by default
Is it always that way?
You should use CREATE OR REPLACE TABLE DDL statement to achieve your goal. Something like below
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable`
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
add a comment |
I'm making a mistake?
Nope, it is by design, when you overwrite table original schema is lost and columns are nullable by default
Is it always that way?
You should use CREATE OR REPLACE TABLE DDL statement to achieve your goal. Something like below
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable`
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
add a comment |
I'm making a mistake?
Nope, it is by design, when you overwrite table original schema is lost and columns are nullable by default
Is it always that way?
You should use CREATE OR REPLACE TABLE DDL statement to achieve your goal. Something like below
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable`
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
I'm making a mistake?
Nope, it is by design, when you overwrite table original schema is lost and columns are nullable by default
Is it always that way?
You should use CREATE OR REPLACE TABLE DDL statement to achieve your goal. Something like below
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable`
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
answered Dec 27 at 13:43
Mikhail Berlyant
55.5k43368
55.5k43368
add a comment |
add a comment |
Thank you for your help, it works fine. But, partitioned by ingestion time tables do not work this way. I can't achieve overwrite with query like:
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) PARTITION BY DATE(_PARTITIONTIME) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable` where _PARTITIONTIME is not null;
edited 2 days ago
iamdanchiv
2,00032028
answered 2 days ago
Ebru Peker
224
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
add a comment |
Thank you for your help, it works fine. But, partitioned by ingestion time tables do not work this way. I can't achieve overwrite with query like:
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) PARTITION BY DATE(_PARTITIONTIME) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable` where _PARTITIONTIME is not null;
edited 2 days ago
iamdanchiv
2,00032028
answered 2 days ago
Ebru Peker
224
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
add a comment |
Thank you for your help, it works fine. But, partitioned by ingestion time tables do not work this way. I can't achieve overwrite with query like:
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) PARTITION BY DATE(_PARTITIONTIME) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable` where _PARTITIONTIME is not null;
edited 2 days ago
iamdanchiv
2,00032028
answered 2 days ago
Ebru Peker
224
Thank you for your help, it works fine. But, partitioned by ingestion time tables do not work this way. I can't achieve overwrite with query like:
CREATE OR REPLACE TABLE `project.dataset.mytable` (
id STRING NOT NULL,
column1 INT64 NOT NULL,
column2 INT64 NOT NULL
) PARTITION BY DATE(_PARTITIONTIME) AS
SELECT CAST(id AS STRING) as id, column1, column2
FROM `project.dataset.mytable` where _PARTITIONTIME is not null;
edited 2 days ago
iamdanchiv
2,00032028
answered 2 days ago
Ebru Peker
224
edited 2 days ago
iamdanchiv
2,00032028
edited 2 days ago
iamdanchiv
2,00032028
edited 2 days ago
iamdanchiv
2,00032028
2,00032028
answered 2 days ago
Ebru Peker
224
answered 2 days ago
Ebru Peker
224
answered 2 days ago
Ebru Peker
224
224
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
add a comment |
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review
– iamnotmaynard
2 days ago
add a comment |
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What happens if you set the destination table to a new table, rather than overwriting the source table - do you get the desired results? Since you cannot change the data types in a table (stackoverflow.com/questions/53745229/…) I would not expect the overwrite function to work in this way.
– Ben P
Dec 27 at 13:39