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v5.0
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    v5.0

      Values and Types

      In UQL, various values and types can be used to represent information within the graph database. Understanding these values and types is essential for effective query construction and data manipulation.

      Graph Types

      A graph type refers to the type of data retrieved from the database, which are nodes, edges and paths.

      Type
      Description
      NODE Represents a node, which includes a schema and a property set.
      EDGE Represents an edge type, which includes a schema and a property set.
      PATH Represents a path, which includes a sequence of nodes and edges that form the path.

      Property Types

      A property type refers to the data type of the values of a property. Ultipa supports the following property types:

      Category Type Description
      Numeric int32 32-bit signed integer with a range from -2,147,483,648 to 2,147,483,647.
      uint32 32-bit unsigned integer with a range 0 to 4,294,967,295.
      int64 64-bit signed integer with a range from -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807.
      uint64 64-bit unsigned integer with a range from 0 to 18,446,744,073,709,551,615.
      float 32-bit single-precision floating-point number with 6 to 7 significant digits (integer and fractional parts, excl. the decimal point).
      double 64-bit double-precision floating-point number with 15 to 16 significant digits (integer and fractional parts, excl. the decimal point).
      decimal Numbers can have a specified precision (1–65) and scale (0–30). For example, decimal(10,4) represents a decimal number with a precision of 10 (total digits, excluding the decimal point) and a scale of 4 (digits after the decimal point).
      Textual string A sequence of characters with a maximum length of 60,000 bytes. This is the default value type when creating a property.
      text A sequence of characters with no length limitation.
      Temporal datetime Date and time value with a range from 1000-01-01 00:00:00.000000 to 9999-12-31 23:59:59.499999, stored as uint64.
      timestamp A specific point in time, measured in seconds since 1970-01-01 00:00:00 UTC, stored as uint32.

      Note: If a value is assigned in date and time format, it is converted to a timestamp based on the local timezone or the timezone set via the SDK's RequestConfig. Similarly, when a timestamp is displayed in date and time format, it is also converted based on the local timezone or the timezone set via the SDK's RequestConfig.
      Spatial point A two-dimensional geographical coordinate that indicate a specific position; the two values are stored as double.
      List list An ordered homogenous collection of elements. Supports the following types: int32[], uint32[], int64[], uint64[], float[], double[], string[], text[], datetime[] and timestamp[].

      Constructed Value Types

      A constructed value type is a data type comprising composite elements. UQL supports the following constructed type:

      Type
      Description
      list An ordered homogenous or heterogeneous collection of elements.

      Result Types

      A result type refers to the data type of the values returned by a query. Ultipa defines the following result types.

      RESULT_TYPE_NODE

      This query returns all the information of @Paper nodes:

      find().nodes({@Paper}) as n
      return n{*}
      

      Data structure of n:

      {
        "data": [
          {
            "id": "P2",
            "uuid": "8718971077612535835",
            "schema": "Paper",
            "values": {
              "title": "Optimizing Queries",
              "score": 9
            }
          },
          {
            "id": "P1",
            "uuid": "8791028671650463770",
            "schema": "Paper",
            "values": {
              "title": "Efficient Graph Search",
              "score": 6
            }
          }
        ],
        "alias": "n",
        "type": 2,
        "type_desc": "RESULT_TYPE_NODE"
      }
      

      RESULT_TYPE_EDGE

      This query returns all the information of outgoing @Cites edges:

      n().re({@Cites} as e).n()
      return e{*}
      

      Data structure of e:

      {
        "data": [
          {
            "from": "P1",
            "to": "P2",
            "uuid": "1",
            "from_uuid": "8791028671650463770",
            "to_uuid": "8718971077612535835",
            "schema": "Cites",
            "values": {
              "weight": 2
            }
          }
        ],
        "alias": "e",
        "type": 3,
        "type_desc": "RESULT_TYPE_EDGE"
      }
      

      RESULT_TYPE_PATH

      This query returns all the information of outgoing 1-step paths:

      n().re().n() as p
      return p{*}
      

      Data structure of p:

      {
        "data": [
          {
            "nodes": [
              {
                "id": "P1",
                "uuid": "8791028671650463770",
                "schema": "Paper",
                "values": {
                  "title": "Efficient Graph Search",
                  "score": 6
                }
              },
              {
                "id": "P2",
                "uuid": "8718971077612535835",
                "schema": "Paper",
                "values": {
                  "title": "Optimizing Queries",
                  "score": 9
                }
              }
            ],
            "edges": [
              {
                "from": "P1",
                "to": "P2",
                "uuid": "1",
                "from_uuid": "8791028671650463770",
                "to_uuid": "8718971077612535835",
                "schema": "Cites",
                "values": {
                  "weight": 2
                }
              }
            ],
            "length": 1
          }
        ],
        "alias": "p",
        "type": 1,
        "type_desc": "RESULT_TYPE_PATH"
      }
      

      RESULT_TYPE_ATTR

      This query returns the title property of @Paper nodes:

      find().nodes({@Paper}) as n
      return n.title
      

      Data structure of n.title:

      {
        "data": {
          "alias": "n.title",
          "type": 4,
          "type_desc": "RESULT_TYPE_ATTR",
          "values": [
            "Optimizing Queries",
            "Efficient Graph Search"
          ]
        },
        "alias": "n.title",
        "type": 4,
        "type_desc": "RESULT_TYPE_ATTR"
      }
      

      RESULT_TYPE_TABLE

      This query returns a table:

      find().nodes({@Paper}) as n
      return table(n.title, n.score) as table
      

      Data structure of table:

      {
        "data": {
          "name": "table",
          "alias": "table",
          "headers": [
            "n.title",
            "n.score"
          ],
          "rows": [
            [
              "Optimizing Queries",
              "9"
            ],
            [
              "Efficient Graph Search",
              "6"
            ]
          ]
        },
        "alias": "table",
        "type": 5,
        "type_desc": "RESULT_TYPE_TABLE"
      }
      

      Null Value

      The null value is a special value available in all nullable types. Any non-null value is a material value.

      Null Scenarios

      The null values can arise in various contexts, including:

      • Default Assignment: When nodes or edges are inserted, nullable properties that lack specified values automatically receive null.
      • Explicit Null Specification: During node or edge insertion, nullable properties can be intentionally set to null.
      • Value Removal: Removing a property’s value replaces it with null.
      • New Property Assignment: When adding a new property to a schema, any existing nodes or edges with that schema are assigned null for the new property by default.
      • Nonexistent Property References: Referencing a property that does not exist returns null.
      • Optional Matching: When the OPTIONAL keyword is used with some clauses (find(), khop(), etc.), if no result is found, the clause yields null instead of empty return.

      Null in Comparisons

      The null value is not comparable to any other value due to its inherently unknown nature. Consequently, comparisons involving null using normal operators such as = or > do not typically yield true or false but rather an unknown result, also represented by null.

      Example
      Result
      RETURN null = null null
      RETURN null > 3 null
      RETURN [1,null,2] <> [1,null,2] null
      RETURN 3 IN [1,null,2] null
      RETURN null IN [1,2] null
      RETURN null IN [] 0

      Comparisons involving null require special handling with null predicates (IS NULL and IS NOT NULL).

      Example
      Result
      RETURN null IS NULL 1
      RETURN null IS NOT NULL 0

      Null Treatments

      The null values receive special treatment in some contexts. For instance:

      • Aggregate functions typically ignore null values.
      • The GROUP BY clause groups all null values together.
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