>>>pipeline_explain.txt
=== Output
ID:          default_catalog.default_database.Output
Type:        stream
Stage:       flink
Primary key: key_col
Timestamp:   -
Row count:   ~1e8
---
Schema:
 - key_col: VARCHAR(2147483647) CHARACTER SET "UTF-16LE"
 - int_col: INTEGER
Inputs:
 - iceberg.my_database.my_table
Plan:
LogicalProject(key_col=[$0], int_col=[$1])
  LogicalTableScan(table=[[iceberg, my_database, my_table]])
SQL:
CREATE VIEW `Output` AS  SELECT * FROM iceberg.my_database.my_table;

=== my_table
ID:          iceberg.my_database.my_table
Type:        stream
Stage:       flink
Primary key: -
Timestamp:   -
Row count:   ~1e8
---
Schema:
 - key_col: VARCHAR(2147483647) CHARACTER SET "UTF-16LE"
 - int_col: INTEGER
Inputs:
 - iceberg.my_database.my_table__base
Plan:
LogicalTableScan(table=[[iceberg, my_database, my_table]])
SQL:
CREATE TABLE IF NOT EXISTS `my_table` (
  `key_col` STRING,
  `int_col` INTEGER
)
WITH (
  'format-version' = '2'
)
>>>flink-sql-no-functions.sql
CREATE DATABASE IF NOT EXISTS `iceberg`;
USE `iceberg`;
CREATE CATALOG `iceberg` WITH (
  'type' = 'iceberg',
  'catalog-type' = 'hadoop',
  'warehouse' = 'file:///tmp/iceberg/warehouse'
);
USE CATALOG `iceberg`;
CREATE DATABASE IF NOT EXISTS `my_database`;
USE `my_database`;
CREATE TABLE IF NOT EXISTS `my_table` (
  `key_col` STRING,
  `int_col` INTEGER
)
WITH (
  'format-version' = '2'
);
USE CATALOG `default_catalog`;
CREATE DATABASE IF NOT EXISTS `default_database`;
USE `default_database`;
CREATE VIEW `Output`
AS
SELECT *
FROM `iceberg`.`my_database`.`my_table`;
CREATE TABLE `Output_1` (
  `key_col` VARCHAR(2147483647) CHARACTER SET `UTF-16LE`,
  `int_col` INTEGER,
  `__pk_hash` CHAR(32) CHARACTER SET `UTF-16LE`,
  PRIMARY KEY (`__pk_hash`) NOT ENFORCED
)
WITH (
  'connector' = 'jdbc-sqrl',
  'driver' = 'org.postgresql.Driver',
  'password' = '${POSTGRES_PASSWORD}',
  'sink.on-conflict.action' = 'IGNORE',
  'table-name' = 'Output_1',
  'url' = 'jdbc:postgresql://${POSTGRES_AUTHORITY}',
  'username' = '${POSTGRES_USERNAME}'
);
EXECUTE STATEMENT SET BEGIN
INSERT INTO `default_catalog`.`default_database`.`Output_1`
SELECT `key_col`, `int_col`, `hash_columns`(`key_col`) AS `__pk_hash`
 FROM `default_catalog`.`default_database`.`Output`
;
END
>>>kafka.json
{
  "topics" : [ ],
  "testRunnerTopics" : [ ]
}
>>>postgres.json
{
  "statements" : [
    {
      "name" : "Output_1",
      "type" : "TABLE",
      "sql" : "CREATE TABLE IF NOT EXISTS \"Output_1\" (\"key_col\" TEXT, \"int_col\" INTEGER, \"__pk_hash\" TEXT, PRIMARY KEY (\"__pk_hash\"))",
      "fields" : [
        {
          "name" : "key_col",
          "type" : "TEXT",
          "nullable" : true
        },
        {
          "name" : "int_col",
          "type" : "INTEGER",
          "nullable" : true
        },
        {
          "name" : "__pk_hash",
          "type" : "TEXT",
          "nullable" : true
        }
      ],
      "primaryKey" : [
        "__pk_hash"
      ],
      "partitionKey" : [ ],
      "partitionType" : "NONE",
      "numPartitions" : 0,
      "ttl" : 0.0
    },
    {
      "name" : "Output",
      "type" : "VIEW",
      "sql" : "CREATE OR REPLACE VIEW \"Output\"(\"key_col\", \"int_col\") AS SELECT \"key_col\", \"int_col\"\nFROM \"Output_1\"",
      "fields" : [
        {
          "name" : "key_col",
          "type" : "TEXT",
          "nullable" : true
        },
        {
          "name" : "int_col",
          "type" : "INTEGER",
          "nullable" : true
        }
      ]
    }
  ]
}
>>>vertx.json
{
  "models" : {
    "v1" : {
      "queries" : [
        {
          "type" : "args",
          "parentType" : "Query",
          "fieldName" : "Output",
          "exec" : {
            "arguments" : [
              {
                "type" : "variable",
                "path" : "limit"
              },
              {
                "type" : "variable",
                "path" : "offset"
              }
            ],
            "query" : {
              "type" : "SqlQuery",
              "sql" : "SELECT \"key_col\", \"int_col\"\nFROM \"Output_1\"",
              "parameters" : [ ],
              "pagination" : "LIMIT_AND_OFFSET",
              "cacheDurationMs" : 0,
              "database" : "POSTGRES"
            }
          }
        }
      ],
      "mutations" : [ ],
      "subscriptions" : [ ],
      "operations" : [
        {
          "function" : {
            "name" : "GetOutput",
            "parameters" : {
              "type" : "object",
              "properties" : {
                "offset" : {
                  "type" : "integer"
                },
                "limit" : {
                  "type" : "integer"
                }
              },
              "required" : [ ]
            }
          },
          "format" : "JSON",
          "apiQuery" : {
            "query" : "query Output($limit: Int = 10, $offset: Int = 0) {\nOutput(limit: $limit, offset: $offset) {\nkey_col\nint_col\n}\n\n}",
            "queryName" : "Output",
            "operationType" : "QUERY"
          },
          "mcpMethod" : "TOOL",
          "restMethod" : "GET",
          "uriTemplate" : "queries/Output{?offset,limit}"
        }
      ],
      "schema" : {
        "type" : "string",
        "schema" : "\"An RFC-3339 compliant Full Date Scalar\"\nscalar Date\n\n\"A DateTime scalar that handles both full RFC3339 and shorter timestamp formats\"\nscalar DateTime\n\n\"A JSON scalar\"\nscalar JSON\n\n\"24-hour clock time value string in the format `hh:mm:ss` or `hh:mm:ss.sss`.\"\nscalar LocalTime\n\n\"A 64-bit signed integer\"\nscalar Long\n\ntype Query {\n  Output(limit: Int = 10, offset: Int = 0): [my_table!]\n}\n\nenum _McpMethodType {\n  NONE\n  TOOL\n  RESOURCE\n}\n\nenum _RestMethodType {\n  NONE\n  GET\n  POST\n}\n\ntype my_table {\n  key_col: String\n  int_col: Int\n}\n\ndirective @api(mcp: _McpMethodType, rest: _RestMethodType, uri: String) on QUERY | MUTATION | FIELD_DEFINITION\n"
      }
    }
  }
}
