我的格式文件文件格式很好，如bellow。
TimeStamp|^|LineItem_organizationId|^|LineItem_lineItemId|^|StatementTypeCode|^|LineItemName|^|LocalLanguageLabel|^|FinancialConceptLocal|^|FinancialConceptGlobal|^|IsDimensional|^|InstrumentId|^|LineItemSequence|^|PhysicalMeasureId|^|FinancialConceptCodeGlobalSecondary|^|IsRangeAllowed|^|IsSegmentedByOrigin|^|SegmentGroupDescription|^|SegmentChildDescription|^|SegmentChildLocalLanguageLabel|^|LocalLanguageLabel.languageId|^|LineItemName.languageId|^|SegmentChildDescription.languageId|^|SegmentChildLocalLanguageLabel.languageId|^|SegmentGroupDescription.languageId|^|SegmentMultipleFundbDescription|^|SegmentMultipleFundbDescription.languageId|^|IsCredit|^|FinancialConceptLocalId|^|FinancialConceptGlobalId|^|FinancialConceptCodeGlobalSecondaryId|^|FFAction|!|
1506702452474|^|4295876606|^|1|^|BAL|^|Cash And Deposits|^|2|^||^|ACAE|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3018759|^||^|I|!|
1506702452475|^|4295876606|^|4|^|BAL|^|Raw Materials And Supplies|^||^||^|AIRM|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3018830|^||^|I|!|
1506702452476|^|4295876606|^|10|^|BAL|^|Total current assets|^||^||^|XTCA|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3019590|^||^|I|!|
1506702452477|^|4295876606|^|53|^|BAL|^|Deferred Assets Total|^||^||^|ADFN|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3014598|^||^|I|!|
1506702452478|^|4295876606|^|54|^|BAL|^|Total Assets|^||^||^|XTOT|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3016350|^||^|I|!|
1506702452479|^|4295876606|^|107|^|BAL|^|Total Number Of Treasury Stock|^||^||^|XTCTI|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3016331|^||^|I|!|
1506702452480|^|4295876606|^|108|^|BAL|^|Total Number Of Issued Shares|^||^||^|XTCII|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3016326|^||^|I|!|
1506702452481|^|4295876606|^|109|^|BAL|^|Total Number Of Issued Preferred Stock A|^||^||^|XTPII|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3016352|^||^|I|!|
1506702452482|^|4295876606|^|111|^|CAS|^|Loss before income taxes|^||^||^|ONET|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3019196|^||^|I|!|
1506702452483|^|4295876606|^|130|^|CAS|^|Subtotal|^||^||^|FFFF|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3014929|^||^|I|!|
1506702452484|^|4295876606|^|132|^|CAS|^|Net cash provided by (used in) operating activities|^||^||^|XTLO|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3016344|^||^|I|!|
1506702452485|^|4295876606|^|133|^|CAS|^|Purchase of property, plant and equipment|^||^||^|ICEX|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3014949|^||^|I|!|
1506702452486|^|4295876606|^|143|^|CAS|^|Net cash provided by (used in) investing activities|^||^||^|XTLI|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3016342|^||^|I|!|
1506702452487|^|4295876606|^|145|^|CAS|^|Proceeds from long-term loans payable|^||^||^|FLDI|^|false|^||^||^||^||^|false|^||^||^||^||^|505126|^|505074|^||^||^||^||^||^||^||^|3014931|^||^|I|!|
现在我必须将此文本文件加载到spark数据框中。
我可以这样做
val schema = StructType(Array(
StructField("OrgId", StringType),
StructField("LineItemId", StringType),
StructField("SegmentId", StringType),
StructField("SequenceId", StringType),
StructField("Action", StringType)))
val textRdd1 = sc.textFile("s3://trfsdisu/SPARK/Text1.txt")
val rowRdd1 = textRdd1.map(line => Row.fromSeq(line.split("\\|\\^\\|", -1)))
var df1 = sqlContext.createDataFrame(rowRdd1, schema).drop("index")
但是通过这种方式我创建了模式，所以例如，如果我有100列的文本文件，我必须写100次。
所以我需要加载像csv这样的文件。
val df1 = spark.read.format("csv").option("header", "true").option("mode", "DROPMALFORMED").load("s3://sdi/SPARK/FinancialLineItem/MAIN")
但这不适合我，因为我的文本文件不是csv格式。
那么有没有办法在火花数据框中以csv样式加载文本文件？
val dfMainOutput = df1result.join(latestForEachKey, Seq("LineItem_organizationId", "LineItem_lineItemId"), "outer")
.select($"LineItem_organizationId", $"LineItem_lineItemId",$"DataPartiotion",
when($"StatementTypeCode_1".isNotNull, $"StatementTypeCode_1").otherwise($"StatementTypeCode").as("StatementTypeCode"),
when($"StatementTypeCode_1".isNotNull, $"StatementTypeCode_1").otherwise($"StatementTypeCode").alias("StatementtypeCode"),
when($"LineItemName_1".isNotNull, $"LineItemName_1").otherwise($"LineItemName").as("LineItemName"),
when($"LocalLanguageLabel_1".isNotNull, $"LocalLanguageLabel_1").otherwise($"LocalLanguageLabel").as("LocalLanguageLabel"),
when($"FinancialConceptLocal_1".isNotNull, $"FinancialConceptLocal_1").otherwise($"FinancialConceptLocal").as("FinancialConceptLocal"),
when($"FinancialConceptGlobal_1".isNotNull, $"FinancialConceptGlobal_1").otherwise($"FinancialConceptGlobal").as("FinancialConceptGlobal"),
when($"IsDimensional_1".isNotNull, $"IsDimensional_1").otherwise($"IsDimensional").as("IsDimensional"),
when($"InstrumentId_1".isNotNull, $"InstrumentId_1").otherwise($"InstrumentId").as("InstrumentId"),
when($"LineItemSequence_1".isNotNull, $"LineItemSequence_1").otherwise($"LineItemSequence").as("LineItemSequence"),
when($"PhysicalMeasureId_1".isNotNull, $"PhysicalMeasureId_1").otherwise($"PhysicalMeasureId").as("PhysicalMeasureId"),
when($"FinancialConceptCodeGlobalSecondary_1".isNotNull, $"FinancialConceptCodeGlobalSecondary_1").otherwise($"FinancialConceptCodeGlobalSecondary").as("FinancialConceptCodeGlobalSecondary"),
when($"IsRangeAllowed_1".isNotNull, $"IsRangeAllowed_1").otherwise($"IsRangeAllowed".cast(DataTypes.StringType)).as("IsRangeAllowed"),
when($"IsSegmentedByOrigin_1".isNotNull, $"IsSegmentedByOrigin_1").otherwise($"IsSegmentedByOrigin".cast(DataTypes.StringType)).as("IsSegmentedByOrigin"),
when($"SegmentGroupDescription".isNotNull, $"SegmentGroupDescription").otherwise($"SegmentGroupDescription").as("SegmentGroupDescription"),
when($"SegmentChildDescription_1".isNotNull, $"SegmentChildDescription_1").otherwise($"SegmentChildDescription").as("SegmentChildDescription"),
when($"SegmentChildLocalLanguageLabel_1".isNotNull, $"SegmentChildLocalLanguageLabel_1").otherwise($"SegmentChildLocalLanguageLabel").as("SegmentChildLocalLanguageLabel"),
when($"LocalLanguageLabel_languageId_1".isNotNull, $"LocalLanguageLabel_languageId_1").otherwise($"LocalLanguageLabel_languageId").as("LocalLanguageLabel_languageId"),
when($"LineItemName_languageId_1".isNotNull, $"LineItemName_languageId_1").otherwise($"LineItemName_languageId").as("LineItemName_languageId"),
when($"SegmentChildDescription_languageId_1".isNotNull, $"SegmentChildDescription_languageId_1").otherwise($"SegmentChildDescription_languageId").as("SegmentChildDescription_languageId"),
when($"SegmentChildLocalLanguageLabel_languageId_1".isNotNull, $"SegmentChildLocalLanguageLabel_languageId_1").otherwise($"SegmentChildLocalLanguageLabel_languageId").as("SegmentChildLocalLanguageLabel_languageId"),
when($"SegmentGroupDescription_languageId_1".isNotNull, $"SegmentGroupDescription_languageId_1").otherwise($"SegmentGroupDescription_languageId").as("SegmentGroupDescription_languageId"),
when($"SegmentMultipleFundbDescription_1".isNotNull, $"SegmentMultipleFundbDescription_1").otherwise($"SegmentMultipleFundbDescription").as("SegmentMultipleFundbDescription"),
when($"SegmentMultipleFundbDescription_languageId_1".isNotNull, $"SegmentMultipleFundbDescription_languageId_1").otherwise($"SegmentMultipleFundbDescription_languageId").as("SegmentMultipleFundbDescription_languageId"),
when($"IsCredit_1".isNotNull, $"IsCredit_1").otherwise($"IsCredit".cast(DataTypes.StringType)).as("IsCredit"),
when($"FinancialConceptLocalId_1".isNotNull, $"FinancialConceptLocalId_1").otherwise($"FinancialConceptLocalId").as("FinancialConceptLocalId"),
when($"FinancialConceptGlobalId_1".isNotNull, $"FinancialConceptGlobalId_1").otherwise($"FinancialConceptGlobalId").as("FinancialConceptGlobalId"),
when($"FinancialConceptCodeGlobalSecondaryId_1".isNotNull, $"FinancialConceptCodeGlobalSecondaryId_1").otherwise($"FinancialConceptCodeGlobalSecondaryId").as("FinancialConceptCodeGlobalSecondaryId"),
when($"FFAction_1".isNotNull, $"FFAction_1").otherwise($"FFAction").as("FFAction"))
.filter(!$"FFAction".contains("D"))
答案 0 :(得分：2)
在尝试解决您的问题时，我遇到的第一个问题是使用spark-csv时，您只能使用字符分隔符而不是字符串分隔符。
我发现的解决方案有点棘手：
使用|作为分隔符从CSV加载数据。
import org.apache.spark.sql.SQLContext
val sqlContext = new SQLContext(sc);
val df = sqlContext.read.format("csv")
.option("header", "true")
.option("delimiter", "|")
.option("inferSchema",true")
.load("/home/robin/Bureau/Spark/csv_strange_delimiter.csv")
这将创建一个如下所示的数据框：
df.show
+----------+---+----------+---+---------+---+----------+---+------+
| OrgId| ^1|LineItemId| ^3|SegmentId| ^5|SequenceId| ^7|Action|
+----------+---+----------+---+---------+---+----------+---+------+
|4295877341| ^| 136| ^| 4| ^| 1| ^| I|
|4295877346| ^| 136| ^| 4| ^| 1| ^| I|
|4295877341| ^| 138| ^| 2| ^| 1| ^| I|
|4295877341| ^| 141| ^| 4| ^| 1| ^| I|
|4295877341| ^| 143| ^| 2| ^| 1| ^| I|
|4295877341| ^| 145| ^| 14| ^| 1| ^| I|
| 123456789| ^| 145| ^| 14| ^| 1| ^| I|
+----------+---+----------+---+---------+---+----------+---+------+
2：删除包含＆＃34; ^＆＃34;
的列val column_to_keep = df.columns.filter(v => (!v.contains("^"))).toSeq
val result = df.select(column_to_keep.head, column_to_keep.tail: _*)
result.show
+----------+----------+---------+----------+------+
| OrgId|LineItemId|SegmentId|SequenceId|Action|
+----------+----------+---------+----------+------+
|4295877341| 136| 4| 1| I|!||
|4295877346| 136| 4| 1| I|!||
|4295877341| 138| 2| 1| I|!||
|4295877341| 141| 4| 1| I|!||
|4295877341| 143| 2| 1| I|!||
|4295877341| 145| 14| 1| I|!||
| 123456789| 145| 14| 1| I|!||
+----------+----------+---------+----------+------+