K SQL / ksqlDB поддерживает массивы. Вот как сделать то, о чем вы просите:
-- Declare the stream
CREATE STREAM TEST1
(WHS ARRAY<STRUCT<"action" VARCHAR
, "Update-Date-Time" VARCHAR
, "Number" VARCHAR
, "Abbr" VARCHAR
, "Name" VARCHAR
, "Name2" VARCHAR
, "Country-Code" VARCHAR
, "Addr-1" VARCHAR
, "Addr-2" VARCHAR
, "Addr-4" VARCHAR
, "City" VARCHAR
, "State" VARCHAR>>)
WITH (KAFKA_TOPIC ='test1'
,VALUE_FORMAT='JSON');
-- Set querying from beginning of the topic
SET 'auto.offset.reset' = 'earliest';
-- Query the array
ksql> SELECT WHS FROM TEST1 EMIT CHANGES LIMIT 1;
+------------------------------------------------------------------------------------------------------------------------------------------------------+
|WHS |
+------------------------------------------------------------------------------------------------------------------------------------------------------+
|[{ACTION=finished, Update-Date-Time=2020-04-11 09:00:02:25, NUMBER=0, ABBR=, NAME=, NAME2=, Country-Code=, Addr-1=, Addr-2=, Addr-4=, City=, STATE=}] |
Limit Reached
Query terminated
ksql>
-- Flatten the array
ksql> SELECT EXPLODE(WHS) FROM TEST1 EMIT CHANGES LIMIT 1;
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|KSQL_COL_0 |
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|{ACTION=finished, Update-Date-Time=2020-04-11 09:00:02:25, NUMBER=0, ABBR=, NAME=, NAME2=, Country-Code=, Addr-1=, Addr-2=, Addr-4=, City=, STATE=} |
Limit Reached
Query terminated
ksql>
Вы можете записать это в другой поток (topi c):
ksql> CREATE STREAM TEST1_EXPLODE WITH (KAFKA_TOPIC='NEW_TEST1') AS SELECT EXPLODE(WHS) FROM TEST1 EMIT CHANGES;
Message
-------------------------------------------
Created query with ID CSAS_TEST1_EXPLODE_155
-------------------------------------------
ksql> PRINT NEW_TEST1;
…
Value format: JSON or KAFKA_STRING
rowtime: 4/27/20 8:28:46 AM UTC, key: <null>, value: {"KSQL_COL_0":{"ACTION":"finished","Update-Date-Time":"2020-04-11 09:00:02:25","NUMBER":"0","ABBR":"","NAME":"","NAME2":"","Country-Code":"","Addr-1":"","Addr-2":"","Addr-4":"","City":"","STATE":""}}
Если вы хотите сгладить Получив структуру вы тоже можете это сделать:
CREATE STREAM TEST1_FLATTENED AS SELECT EXPLODE(WHS)->"action" AS "action" ,
EXPLODE(WHS)->"Update-Date-Time" AS "Update-Date-Time" ,
EXPLODE(WHS)->"Number" AS "Number" ,
EXPLODE(WHS)->"Abbr" AS "Abbr" ,
EXPLODE(WHS)->"Name" AS "Name" ,
EXPLODE(WHS)->"Name2" AS "Name2" ,
EXPLODE(WHS)->"Country-Code" AS "Country-Code" ,
EXPLODE(WHS)->"Addr-1" AS "Addr-1" ,
EXPLODE(WHS)->"Addr-2" AS "Addr-2" ,
EXPLODE(WHS)->"Addr-4" AS "Addr-4" ,
EXPLODE(WHS)->"City" AS "City" ,
EXPLODE(WHS)->"State" AS "State"
FROM TEST1 EMIT CHANGES;
ksql> PRINT TEST1_FLATTENED;
…
Value format: JSON or KAFKA_STRING
rowtime: 4/27/20 8:28:46 AM UTC, key: <null>, value: {"action":"finished","Update-Date-Time":"2020-04-11 09:00:02:25","Number":"0","Abbr":"","Name":"","Name2":"","Country-Code":"","Addr-1":"","Addr-2":"","Addr-4":"","City":"","State":""}