Java Code Examples for org.apache.flink.table.utils.TypeStringUtils#writeTypeInfo()
The following examples show how to use
org.apache.flink.table.utils.TypeStringUtils#writeTypeInfo() .
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Example 1
Source File: FeatureBorder.java From Alink with Apache License 2.0 | 5 votes |
public static String getTypeString(TypeInformation<?> type) { String typeStr = TypeStringUtils.writeTypeInfo(type); if ("VARCHAR".equals(typeStr)) { typeStr = "STRING"; } return typeStr; }
Example 2
Source File: FlinkTypeConverter.java From Alink with Apache License 2.0 | 5 votes |
/** * Convert TypeInformation array to string format array. * * @param types TypeInformation array * @return string representation of the types. */ public static String[] getTypeString(TypeInformation<?>[] types) { String[] sqlTypes = new String[types.length]; for (int i = 0; i < types.length; i++) { sqlTypes[i] = TypeStringUtils.writeTypeInfo(types[i]); } return sqlTypes; }
Example 3
Source File: LiteralValue.java From flink with Apache License 2.0 | 4 votes |
/** * Type information of the literal value. E.g. Types.BOOLEAN. * * @param typeInfo type information describing the value */ public LiteralValue of(TypeInformation<?> typeInfo) { Preconditions.checkNotNull(typeInfo, "Type information must not be null."); this.typeInfo = TypeStringUtils.writeTypeInfo(typeInfo); return this; }
Example 4
Source File: LiteralValue.java From flink with Apache License 2.0 | 4 votes |
/** * Type information of the literal value. E.g. Types.BOOLEAN. * * @param typeInfo type information describing the value */ public LiteralValue of(TypeInformation<?> typeInfo) { Preconditions.checkNotNull(typeInfo, "Type information must not be null."); this.typeInfo = TypeStringUtils.writeTypeInfo(typeInfo); return this; }
Example 5
Source File: Json.java From Flink-CEPplus with Apache License 2.0 | 3 votes |
/** * Sets the schema using type information. * * <p>JSON objects are represented as ROW types. * * <p>The schema might be nested. * * @param schemaType type information that describes the schema */ public Json schema(TypeInformation<Row> schemaType) { Preconditions.checkNotNull(schemaType); this.schema = TypeStringUtils.writeTypeInfo(schemaType); this.jsonSchema = null; this.deriveSchema = null; return this; }
Example 6
Source File: Json.java From flink with Apache License 2.0 | 3 votes |
/** * Sets the schema using type information. * * <p>JSON objects are represented as ROW types. * * <p>The schema might be nested. * * @param schemaType type information that describes the schema */ public Json schema(TypeInformation<Row> schemaType) { Preconditions.checkNotNull(schemaType); this.schema = TypeStringUtils.writeTypeInfo(schemaType); this.jsonSchema = null; this.deriveSchema = null; return this; }
Example 7
Source File: Json.java From flink with Apache License 2.0 | 3 votes |
/** * Sets the schema using type information. * * <p>JSON objects are represented as ROW types. * * <p>The schema might be nested. * * @param schemaType type information that describes the schema * @deprecated {@link Json} supports derive schema from table schema by default, * it is no longer necessary to explicitly declare the format schema. * This method will be removed in the future. */ @Deprecated public Json schema(TypeInformation<Row> schemaType) { Preconditions.checkNotNull(schemaType); this.schema = TypeStringUtils.writeTypeInfo(schemaType); this.jsonSchema = null; this.deriveSchema = null; return this; }
Example 8
Source File: FlinkTypeConverter.java From Alink with Apache License 2.0 | 2 votes |
/** * Convert TypeInformation to string representation. * * @param type TypeInformation * @return string representation of the type. */ public static String getTypeString(TypeInformation<?> type) { return TypeStringUtils.writeTypeInfo(type); }