Export-从HDFS导到DBMS，支持配置读取文件编码，使用方法：--fileencoding gbk

src/java/org/apache/sqoop/mapreduce/TextExportMapper.java

@@ -31,6 +31,8 @@
 import org.apache.commons.logging.Log;
 import org.apache.commons.logging.LogFactory;
 
+import static org.apache.sqoop.tool.BaseSqoopTool.ENCODE;
+
 /**
  * Converts an input record from a string representation to a parsed Sqoop
  * record and emits that DBWritable to the OutputFormat for writeback to the
@@ -44,6 +46,7 @@ public class TextExportMapper
   public static final Log LOG =
     LogFactory.getLog(TextExportMapper.class.getName());
 
+  private String encoding;
   private SqoopRecord recordImpl;
 
   boolean enableDataDumpOnError;
@@ -80,13 +83,21 @@ protected void setup(Context context)
     }
 
     enableDataDumpOnError = conf.getBoolean(DUMP_DATA_ON_ERROR_KEY, false);
+
+    encoding = conf.get(ENCODE);
   }
 
 
   public void map(LongWritable key, Text val, Context context)
       throws IOException, InterruptedException {
     try {
-      recordImpl.parse(val);
+      // 据说转码比较消耗性能
+      if (encoding != null) {
+        String newValue = new String(val.getBytes(), 0, val.getLength(), encoding);
+        recordImpl.parse(newValue);
+      } else {
+        recordImpl.parse(val);
+      }
       context.write(recordImpl, NullWritable.get());
     } catch (Exception e) {
       // Something bad has happened

src/java/org/apache/sqoop/tool/BaseSqoopTool.java

@@ -174,6 +174,8 @@ public abstract class BaseSqoopTool extends com.cloudera.sqoop.tool.SqoopTool {
   public static final String THROW_ON_ERROR_ARG = "throw-on-error";
   public static final String ORACLE_ESCAPING_DISABLED = "oracle-escaping-disabled";
   public static final String ESCAPE_MAPPING_COLUMN_NAMES_ENABLED = "escape-mapping-column-names";
+  public static final String FILE_ENCODING = "fileencoding";//文件编码
+  public static final String ENCODE = "sqoop.mapreduce.export.encode";
 
   // Arguments for validation.
   public static final String VALIDATE_ARG = "validate";

src/java/org/apache/sqoop/tool/ExportTool.java

@@ -208,6 +208,23 @@ public void configureOptions(ToolOptions toolOptions) {
 
     toolOptions.addUniqueOptions(codeGenOpts);
     toolOptions.addUniqueOptions(getHCatalogOptions());
+
+    toolOptions.addUniqueOptions(getFileencodingOptions());
+  }
+
+  /**
+   * 文件编码
+   *
+   * @return
+   */
+  protected RelatedOptions getFileencodingOptions() {
+    RelatedOptions fileencodingOptions = new RelatedOptions("fileencoding arguments");
+    fileencodingOptions.addOption(OptionBuilder
+            .hasArg()
+            .withDescription("fileencoding")
+            .withLongOpt("fileencoding")
+            .create());
+    return fileencodingOptions;
   }
 
   @Override
@@ -279,6 +296,11 @@ public void applyOptions(CommandLine in, SqoopOptions out)
           out.setCall(in.getOptionValue(CALL_ARG));
       }
 
+      //设置文件编码
+      if (in.hasOption(FILE_ENCODING)) {
+          out.getConf().set(ENCODE, in.getOptionValue(FILE_ENCODING));
+      }
+
       applyValidationOptions(in, out);
       applyNewUpdateOptions(in, out);
       applyInputFormatOptions(in, out);

src/test/org/apache/sqoop/mapreduce/db/DateSplitterTest.java

@@ -24,13 +24,13 @@ public void split() throws Exception {
         long maxVal;
 
         int sqlDataType = Types.TIMESTAMP;
-        minVal = df.parse("2019-04-22 11:28:30").getTime();
-        maxVal = df.parse("2019-04-22 16:28:30").getTime();
+        minVal = df.parse("2019-04-22 00:00:00").getTime();
+        maxVal = df.parse("2019-04-22 23:59:59").getTime();
 
         String lowClausePrefix = colName + " >= ";
         String highClausePrefix = colName + " < ";
 
-        int numSplits = 2;
+        int numSplits = 1440;
         if (numSplits < 1) {
             numSplits = 1;
         }
@@ -45,7 +45,7 @@ public void split() throws Exception {
         }
 
         // For split size we are using seconds. So we need to convert to milliseconds.
-        long splitLimit = 3600 * MS_IN_SEC;
+        long splitLimit = -1 * MS_IN_SEC;
 
         // Gather the split point integers
         List<Long> splitPoints = dateSplitter.split(numSplits, splitLimit, minVal, maxVal);