[GitHub] spark pull request #22379: [SPARK-25393][SQL] Adding new function from_csv()

[gatorsmile <gi...@git.apache.org>]

Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/22379#discussion_r222771917
  
    --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/csvExpressions.scala ---
    @@ -0,0 +1,104 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.sql.catalyst.expressions
    +
    +import org.apache.spark.sql.AnalysisException
    +import org.apache.spark.sql.catalyst.InternalRow
    +import org.apache.spark.sql.catalyst.csv._
    +import org.apache.spark.sql.catalyst.expressions.codegen.CodegenFallback
    +import org.apache.spark.sql.catalyst.util._
    +import org.apache.spark.sql.types._
    +import org.apache.spark.unsafe.types.UTF8String
    +
    +/**
    + * Converts a CSV input string to a [[StructType]] with the specified schema.
    + */
    +// scalastyle:off line.size.limit
    +@ExpressionDescription(
    +  usage = "_FUNC_(csvStr, schema[, options]) - Returns a struct value with the given `csvStr` and `schema`.",
    +  examples = """
    +    Examples:
    +      > SELECT _FUNC_('1, 0.8', 'a INT, b DOUBLE');
    +       {"a":1, "b":0.8}
    --- End diff --
    
    Also add an example with options.


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