Snowflake：加载具有一些 ARRAY 字段的本地文件时出错

Question

I am getting an Error when loading a LOCAL file that has some ARRAY fields. I do not get this for source files where all fields are STRINGS.

CREATED TABLE:

CREATE TABLE "TESTDB"."LAYER2"."CREW" ("TCONST" STRING, "DIRECTORS" ARRAY, "WRITERS" ARRAY);

DATA FILE:

tconst  directors   writers
tt0000001   nm0005690   \N
tt0000002   nm0721526   \N
tt0000003   nm0721526   \N
tt0000004   nm0721526   \N
tt0000005   nm0005690   \N
tt0000006   nm0617588   nm0617588
tt0000007   nm0374658,nm0005690 \N
tt0000008   nm0719756   nm0331003,nm0759866,nm0173952,nm0719756,nm0816458

SQL

PUT file://<file_path>/title.crew_1.tsv @TEST_2/ui1770650179898

COPY INTO "TESTDB"."LAYER2"."TEST_2" FROM @/ui1770650179898 
FILE_FORMAT = '"TESTDB"."LAYER1"."TSV"' ON_ERROR = 
'ABORT_STATEMENT' PURGE = TRUE;

ERROR MESSAGE:

Unable to copy files into table. Error parsing JSON: nm0005690 File '@TEST_2/ui1770650179898/sample.samplefile.tsv', line 2, character 11 Row 1, column "TEST_2"["DIRECTORS":2] If you would like to continue loading when an error is encountered, use other values such as 'SKIP_FILE' or 'CONTINUE' for the ON_ERROR option. For more information on loading options, please run 'info loading_data' in a SQL client.

I feel it is an easy answer -- troubleshooted various methods with no success and could not find anything on the web to point me in the right direction.

Any assistance would be greatly appreciated.

Answer 1

You need to convert strings to arrays. I assume that the delimiter is the tab character:

create file format csvtab type=csv field_delimiter = '\t' skip_header=1;

COPY INTO "CREW" FROM 
(select $1, SPLIT($2,','), SPLIT($3,',') from @mystage)
FILE_FORMAT = csvtab ON_ERROR = 'ABORT_STATEMENT' ;

select * from "CREW";

+-----------+---------------------------+---------------------------------------------------------------+
|  TCONST   |         DIRECTORS         |                            WRITERS                            |
+-----------+---------------------------+---------------------------------------------------------------+
| tt0000001 | ["nm0005690"]             |                                                               |
| tt0000002 | ["nm0721526"]             |                                                               |
| tt0000003 | ["nm0721526"]             |                                                               |
| tt0000004 | ["nm0721526"]             |                                                               |
| tt0000005 | ["nm0005690"]             |                                                               |
| tt0000006 | ["nm0617588"]             | ["nm0617588"]                                                 |
| tt0000007 | ["nm0374658","nm0005690"] |                                                               |
| tt0000008 | ["nm0719756"]             | ["nm0331003","nm0759866","nm0173952","nm0719756","nm0816458"] |
+-----------+---------------------------+---------------------------------------------------------------+