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From marmbrus <>
Subject [GitHub] spark pull request: [SPARK-10186][SQL] support postgre array type ...
Date Mon, 16 Nov 2015 23:54:39 GMT
Github user marmbrus commented on a diff in the pull request:
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/jdbc/JdbcDialects.scala ---
    @@ -64,13 +64,18 @@ abstract class JdbcDialect {
        * Get the custom datatype mapping for the given jdbc meta information.
        * @param sqlType The sql type (see java.sql.Types)
        * @param typeName The sql type name (e.g. "BIGINT UNSIGNED")
    -   * @param size The size of the type.
    +   * @param precision The precision of the type.
    +   * @param scale The scale of the type.
        * @param md Result metadata associated with this type.
        * @return The actual DataType (subclasses of [[org.apache.spark.sql.types.DataType]])
        *         or null if the default type mapping should be used.
       def getCatalystType(
    -    sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): Option[DataType]
= None
    +    sqlType: Int,
    +    typeName: String,
    +    precision: Int,
    +    scale: Int,
    +    md: MetadataBuilder): Option[DataType] = None
    --- End diff --
    This is a public API, if we add fields here we are going to break any existing implementations.
 Do we have to do this?

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