>>>pipeline_explain.txt
=== Orders
ID:          default_catalog.default_database.Orders
Type:        stream
Stage:       flink
Primary key: id, time
Timestamp:   time
Row count:   ~1e8
---
Schema:
 - id: BIGINT NOT NULL
 - customerid: BIGINT NOT NULL
 - time: TIMESTAMP_LTZ(3) *ROWTIME* NOT NULL
 - entries: RecordType:peek_no_expand(BIGINT NOT NULL productid, BIGINT NOT NULL quantity, DOUBLE NOT NULL unit_price, DOUBLE discount) NOT NULL ARRAY NOT NULL
Inputs:
 - default_catalog.default_database.Orders__base
Annotations:
 - features: DENORMALIZE (feature)
 - stream-root: Orders
Plan:
LogicalWatermarkAssigner(rowtime=[time], watermark=[-($2, 1:INTERVAL SECOND)])
  LogicalTableScan(table=[[default_catalog, default_database, Orders]])
SQL:
CREATE TEMPORARY TABLE `Orders__schema` (
  `id` BIGINT NOT NULL,
  `customerid` BIGINT NOT NULL,
  `time` TIMESTAMP(3) WITH LOCAL TIME ZONE NOT NULL,
  `entries` ROW(`productid` BIGINT NOT NULL, `quantity` BIGINT NOT NULL, `unit_price` DOUBLE NOT NULL, `discount` DOUBLE) NOT NULL ARRAY NOT NULL
)
WITH (
  'connector' = 'datagen'
);
CREATE TABLE `Orders` (
  PRIMARY KEY (`id`, `time`) NOT ENFORCED,
  WATERMARK FOR `time` AS `time` - INTERVAL '0.001' SECOND
)
WITH (
  'format' = 'flexible-json',
  'path' = 'file:/mock',
  'source.monitor-interval' = '10 sec',
  'connector' = 'filesystem'
)
LIKE `Orders__schema`
=== SpecialOrderSummary
ID:          default_catalog.default_database.SpecialOrderSummary
Type:        state
Stage:       flink
Primary key: customerid
Timestamp:   -
Row count:   ~5e6
---
Schema:
 - customerid: BIGINT NOT NULL
 - num_special_orders: BIGINT NOT NULL
Inputs:
 - default_catalog.default_database.Orders
Plan:
LogicalAggregate(group=[{0}], num_special_orders=[COUNT()])
  LogicalProject(customerid=[$1])
    LogicalProject(id=[$0], customerid=[$1], time=[$2], entries=[$3], isSpecialOrder=[>($0, 1000)])
      LogicalFilter(condition=[<($0, 1000000)])
        LogicalTableScan(table=[[default_catalog, default_database, Orders]])
SQL:
CREATE VIEW `SpecialOrderSummary` AS  WITH SpecialOrders AS (
    SELECT *, id > 1000 AS isSpecialOrder FROM Orders WHERE id < 1000000
)
SELECT customerid, COUNT(*) AS num_special_orders
FROM SpecialOrders
GROUP BY customerid;

=== SpecialOrderSummaryDatabase
ID:          default_catalog.default_database.SpecialOrderSummaryDatabase
Type:        state
Stage:       postgres
Primary key: customerid
Timestamp:   -
Row count:   ~5e6
---
Schema:
 - customerid: BIGINT NOT NULL
 - num_special_orders: BIGINT NOT NULL
Inputs:
 - default_catalog.default_database.Orders
Plan:
LogicalAggregate(group=[{0}], num_special_orders=[COUNT()])
  LogicalProject(customerid=[$1])
    LogicalProject(id=[$0], customerid=[$1], time=[$2], entries=[$3], isSpecialOrder=[>($0, 1000)])
      LogicalFilter(condition=[<($0, 1000000)])
        LogicalTableScan(table=[[default_catalog, default_database, Orders]])
SQL:
CREATE VIEW `SpecialOrderSummaryDatabase` AS  WITH SpecialOrders AS (
    SELECT *, id > 1000 AS isSpecialOrder FROM Orders WHERE id < 1000000
)
SELECT customerid, COUNT(*) AS num_special_orders
FROM SpecialOrders
GROUP BY customerid;

>>>flink-sql-no-functions.sql
CREATE TEMPORARY TABLE `Orders__schema` (
  `id` BIGINT NOT NULL,
  `customerid` BIGINT NOT NULL,
  `time` TIMESTAMP(3) WITH LOCAL TIME ZONE NOT NULL,
  `entries` ROW(`productid` BIGINT NOT NULL, `quantity` BIGINT NOT NULL, `unit_price` DOUBLE NOT NULL, `discount` DOUBLE) NOT NULL ARRAY NOT NULL
)
WITH (
  'connector' = 'datagen'
);
CREATE TABLE `Orders` (
  PRIMARY KEY (`id`, `time`) NOT ENFORCED,
  WATERMARK FOR `time` AS `time` - INTERVAL '0.001' SECOND
)
WITH (
  'format' = 'flexible-json',
  'path' = 'file:/mock',
  'source.monitor-interval' = '10 sec',
  'connector' = 'filesystem'
)
LIKE `Orders__schema`;
CREATE VIEW `SpecialOrderSummary`
AS
WITH `SpecialOrders` AS (SELECT *, `id` > 1000 AS `isSpecialOrder`
  FROM `Orders`
  WHERE `id` < 1000000) SELECT `customerid`, COUNT(*) AS `num_special_orders`
  FROM `SpecialOrders`
  GROUP BY `customerid`;
CREATE VIEW `SpecialOrderSummaryDatabase`
AS
WITH `SpecialOrders` AS (SELECT *, `id` > 1000 AS `isSpecialOrder`
  FROM `Orders`
  WHERE `id` < 1000000) SELECT `customerid`, COUNT(*) AS `num_special_orders`
  FROM `SpecialOrders`
  GROUP BY `customerid`;
CREATE TABLE `Orders_1` (
  `id` BIGINT NOT NULL,
  `customerid` BIGINT NOT NULL,
  `time` TIMESTAMP(3) WITH LOCAL TIME ZONE NOT NULL,
  `entries` RAW('com.datasqrl.flinkrunner.stdlib.json.FlinkJsonType', 'AERjb20uZGF0YXNxcmwuZmxpbmtydW5uZXIuc3RkbGliLmpzb24uRmxpbmtKc29uVHlwZVNlcmlhbGl6ZXJTbmFwc2hvdAAAAAM='),
  PRIMARY KEY (`id`, `time`) NOT ENFORCED
)
WITH (
  'connector' = 'jdbc-sqrl',
  'driver' = 'org.postgresql.Driver',
  'password' = '${POSTGRES_PASSWORD}',
  'sink.on-conflict.action' = 'IGNORE',
  'table-name' = 'Orders_1',
  'url' = 'jdbc:postgresql://${POSTGRES_AUTHORITY}',
  'username' = '${POSTGRES_USERNAME}'
);
CREATE TABLE `SpecialOrderSummary_2` (
  `customerid` BIGINT NOT NULL,
  `num_special_orders` BIGINT NOT NULL,
  PRIMARY KEY (`customerid`) NOT ENFORCED
)
WITH (
  'connector' = 'jdbc-sqrl',
  'driver' = 'org.postgresql.Driver',
  'password' = '${POSTGRES_PASSWORD}',
  'table-name' = 'SpecialOrderSummary_2',
  'url' = 'jdbc:postgresql://${POSTGRES_AUTHORITY}',
  'username' = '${POSTGRES_USERNAME}'
);
EXECUTE STATEMENT SET BEGIN
INSERT INTO `default_catalog`.`default_database`.`Orders_1`
SELECT `id`, `customerid`, `time`, `to_jsonb`(`entries`) AS `entries`
 FROM `default_catalog`.`default_database`.`Orders`
;
INSERT INTO `default_catalog`.`default_database`.`SpecialOrderSummary_2`
 SELECT *
  FROM `default_catalog`.`default_database`.`SpecialOrderSummary`
 ;
 END
>>>kafka.json
{
  "topics" : [ ],
  "testRunnerTopics" : [ ]
}
>>>postgres.json
{
  "statements" : [
    {
      "name" : "Orders_1",
      "type" : "TABLE",
      "sql" : "CREATE TABLE IF NOT EXISTS \"Orders_1\" (\"id\" BIGINT NOT NULL, \"customerid\" BIGINT NOT NULL, \"time\" TIMESTAMP WITH TIME ZONE NOT NULL, \"entries\" JSONB, PRIMARY KEY (\"id\",\"time\"))",
      "fields" : [
        {
          "name" : "id",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "customerid",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "time",
          "type" : "TIMESTAMP WITH TIME ZONE",
          "nullable" : false
        },
        {
          "name" : "entries",
          "type" : "JSONB",
          "nullable" : true
        }
      ],
      "primaryKey" : [
        "id",
        "time"
      ],
      "partitionKey" : [ ],
      "partitionType" : "NONE",
      "numPartitions" : 0,
      "ttl" : 0.0
    },
    {
      "name" : "SpecialOrderSummary_2",
      "type" : "TABLE",
      "sql" : "CREATE TABLE IF NOT EXISTS \"SpecialOrderSummary_2\" (\"customerid\" BIGINT NOT NULL, \"num_special_orders\" BIGINT NOT NULL, PRIMARY KEY (\"customerid\"))",
      "fields" : [
        {
          "name" : "customerid",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "num_special_orders",
          "type" : "BIGINT",
          "nullable" : false
        }
      ],
      "primaryKey" : [
        "customerid"
      ],
      "partitionKey" : [ ],
      "partitionType" : "NONE",
      "numPartitions" : 0,
      "ttl" : 0.0
    },
    {
      "name" : "Orders",
      "type" : "VIEW",
      "sql" : "CREATE OR REPLACE VIEW \"Orders\"(\"id\", \"customerid\", \"time\", \"entries\") AS SELECT *\nFROM \"Orders_1\"",
      "fields" : [
        {
          "name" : "id",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "customerid",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "time",
          "type" : "TIMESTAMP WITH TIME ZONE",
          "nullable" : false
        },
        {
          "name" : "entries",
          "type" : "JSONB",
          "nullable" : true
        }
      ]
    },
    {
      "name" : "SpecialOrderSummary",
      "type" : "VIEW",
      "sql" : "CREATE OR REPLACE VIEW \"SpecialOrderSummary\"(\"customerid\", \"num_special_orders\") AS SELECT *\nFROM \"SpecialOrderSummary_2\"",
      "fields" : [
        {
          "name" : "customerid",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "num_special_orders",
          "type" : "BIGINT",
          "nullable" : false
        }
      ]
    },
    {
      "name" : "SpecialOrderSummaryDatabase",
      "type" : "VIEW",
      "sql" : "CREATE OR REPLACE VIEW \"SpecialOrderSummaryDatabase\"(\"customerid\", \"num_special_orders\") AS SELECT \"customerid\", COUNT(*) AS \"num_special_orders\"\nFROM \"Orders_1\"\nWHERE \"id\" < 1000000\nGROUP BY \"customerid\"",
      "fields" : [
        {
          "name" : "customerid",
          "type" : "BIGINT",
          "nullable" : false
        },
        {
          "name" : "num_special_orders",
          "type" : "BIGINT",
          "nullable" : false
        }
      ]
    }
  ]
}
>>>vertx.json
{
  "models" : {
    "v1" : {
      "queries" : [
        {
          "type" : "args",
          "parentType" : "Query",
          "fieldName" : "Orders",
          "exec" : {
            "arguments" : [
              {
                "type" : "variable",
                "path" : "limit"
              },
              {
                "type" : "variable",
                "path" : "offset"
              }
            ],
            "query" : {
              "type" : "SqlQuery",
              "sql" : "SELECT *\nFROM \"Orders_1\"",
              "parameters" : [ ],
              "pagination" : "LIMIT_AND_OFFSET",
              "cacheDurationMs" : 0,
              "database" : "POSTGRES"
            }
          }
        },
        {
          "type" : "args",
          "parentType" : "Query",
          "fieldName" : "SpecialOrderSummary",
          "exec" : {
            "arguments" : [
              {
                "type" : "variable",
                "path" : "limit"
              },
              {
                "type" : "variable",
                "path" : "offset"
              }
            ],
            "query" : {
              "type" : "SqlQuery",
              "sql" : "SELECT *\nFROM \"SpecialOrderSummary_2\"",
              "parameters" : [ ],
              "pagination" : "LIMIT_AND_OFFSET",
              "cacheDurationMs" : 0,
              "database" : "POSTGRES"
            }
          }
        },
        {
          "type" : "args",
          "parentType" : "Query",
          "fieldName" : "SpecialOrderSummaryDatabase",
          "exec" : {
            "arguments" : [
              {
                "type" : "variable",
                "path" : "limit"
              },
              {
                "type" : "variable",
                "path" : "offset"
              }
            ],
            "query" : {
              "type" : "SqlQuery",
              "sql" : "SELECT \"customerid\", COUNT(*) AS \"num_special_orders\"\nFROM \"Orders_1\"\nWHERE \"id\" < 1000000\nGROUP BY \"customerid\"",
              "parameters" : [ ],
              "pagination" : "LIMIT_AND_OFFSET",
              "cacheDurationMs" : 0,
              "database" : "POSTGRES"
            }
          }
        }
      ],
      "mutations" : [ ],
      "subscriptions" : [ ],
      "operations" : [
        {
          "function" : {
            "name" : "GetOrders",
            "parameters" : {
              "type" : "object",
              "properties" : {
                "offset" : {
                  "type" : "integer"
                },
                "limit" : {
                  "type" : "integer"
                }
              },
              "required" : [ ]
            }
          },
          "format" : "JSON",
          "apiQuery" : {
            "query" : "query Orders($limit: Int = 10, $offset: Int = 0) {\nOrders(limit: $limit, offset: $offset) {\nid\ncustomerid\ntime\nentries {\nproductid\nquantity\nunit_price\ndiscount\n}\n}\n\n}",
            "queryName" : "Orders",
            "operationType" : "QUERY"
          },
          "mcpMethod" : "TOOL",
          "restMethod" : "GET",
          "uriTemplate" : "queries/Orders{?offset,limit}"
        },
        {
          "function" : {
            "name" : "GetSpecialOrderSummary",
            "parameters" : {
              "type" : "object",
              "properties" : {
                "offset" : {
                  "type" : "integer"
                },
                "limit" : {
                  "type" : "integer"
                }
              },
              "required" : [ ]
            }
          },
          "format" : "JSON",
          "apiQuery" : {
            "query" : "query SpecialOrderSummary($limit: Int = 10, $offset: Int = 0) {\nSpecialOrderSummary(limit: $limit, offset: $offset) {\ncustomerid\nnum_special_orders\n}\n\n}",
            "queryName" : "SpecialOrderSummary",
            "operationType" : "QUERY"
          },
          "mcpMethod" : "TOOL",
          "restMethod" : "GET",
          "uriTemplate" : "queries/SpecialOrderSummary{?offset,limit}"
        },
        {
          "function" : {
            "name" : "GetSpecialOrderSummaryDatabase",
            "parameters" : {
              "type" : "object",
              "properties" : {
                "offset" : {
                  "type" : "integer"
                },
                "limit" : {
                  "type" : "integer"
                }
              },
              "required" : [ ]
            }
          },
          "format" : "JSON",
          "apiQuery" : {
            "query" : "query SpecialOrderSummaryDatabase($limit: Int = 10, $offset: Int = 0) {\nSpecialOrderSummaryDatabase(limit: $limit, offset: $offset) {\ncustomerid\nnum_special_orders\n}\n\n}",
            "queryName" : "SpecialOrderSummaryDatabase",
            "operationType" : "QUERY"
          },
          "mcpMethod" : "TOOL",
          "restMethod" : "GET",
          "uriTemplate" : "queries/SpecialOrderSummaryDatabase{?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 Orders {\n  id: Long!\n  customerid: Long!\n  time: DateTime!\n  entries: [Orders_entriesOutput]!\n}\n\ntype Orders_entriesOutput {\n  productid: Long!\n  quantity: Long!\n  unit_price: Float!\n  discount: Float\n}\n\ntype Query {\n  Orders(limit: Int = 10, offset: Int = 0): [Orders!]\n  SpecialOrderSummary(limit: Int = 10, offset: Int = 0): [SpecialOrderSummary!]\n  SpecialOrderSummaryDatabase(limit: Int = 10, offset: Int = 0): [SpecialOrderSummaryDatabase!]\n}\n\ntype SpecialOrderSummary {\n  customerid: Long!\n  num_special_orders: Long!\n}\n\ntype SpecialOrderSummaryDatabase {\n  customerid: Long!\n  num_special_orders: Long!\n}\n\nenum _McpMethodType {\n  NONE\n  TOOL\n  RESOURCE\n}\n\nenum _RestMethodType {\n  NONE\n  GET\n  POST\n}\n\ndirective @api(mcp: _McpMethodType, rest: _RestMethodType, uri: String) on QUERY | MUTATION | FIELD_DEFINITION\n"
      }
    }
  }
}
