我正在尝试使用Data Binding examples编写orc文件,以便稍后由hive读取。
正在编写的文件具有正确的行数,但列中没有内容。我可以看到两者都试图在配置单元中使用select查询读取文件,并且都使用hive --orcfiledump -d
。
我尝试了指南中提供的示例,它编写了两个长类型列,并且hive正确读取了生成的文件。我怀疑这与我正在写字符串列这一事实有关,但我仍然无法使其正常工作。
这就是我目前正在编写文件的方式:
// File schema
String outputFormat = "struct<";
for(int i=0;i<outputSchema.length;i++){
outputFormat+=outputSchema[i]+":string,";
}
outputFormat+="lastRecordHash:string,currentHash:string>";
TypeDescription orcSchema = TypeDescription.fromString(outputFormat);
// Initializes buffers
VectorizedRowBatch batch = orcSchema.createRowBatch();
ArrayList<BytesColumnVector> orcBuffers = new ArrayList<>(numFields+2);
for(int i=0;i<numFields+2;i++){
BytesColumnVector bcv = (BytesColumnVector) batch.cols[i];
orcBuffers.add(i, bcv);
}
...
// Initializes writer
Writer writer=null;
try{
writer = OrcFile.createWriter(new Path(hdfsUri+outputPath), OrcFile.writerOptions(conf).setSchema(orcSchema));
partitionCounter++;
}
catch(IOException e){
log.error("Cannot open hdfs file. Reason: "+e.getMessage());
session.transfer(flowfile, hdfsFailure);
return;
}
// Writes content
String[] records = ...
for(int i=0;i<records.length;i++){
fields = records[i].split(fieldSeparator);
int row=batch.size++;
// Filling the orc buffers
for(int j=0;j<numFields;j++){
orcBuffers.get(j).vector[row] = fields[j].getBytes();
hashDigest.append(fields[j]);
}
if (batch.size == batch.getMaxSize()) {
try{
writer.addRowBatch(batch);
batch.reset();
}
catch(IOException e){
log.error("Cannot write to hdfs. Reason: "+e.getMessage());
return;
}
}
}
if (batch.size != 0) {
try{
writer.addRowBatch(batch);
batch.reset();
}
catch(IOException e){
log.error("Cannot write to hdfs. Reason: "+e.getMessage());
return;
}
}
writer.close();
非常感谢任何建议或有用的参考。
谢谢大家。
答案 0 :(得分:0)
看起来像我需要的API文档的深入审查。我错过了什么:
initBuffer()
上致电BytesColumnVector
setVal()
的列的值。这也可以使用setRef()
来完成。它被记录为两者中最快的,但我不知道是否符合我的具体情况,我会尝试。这是更新的代码:
// File schema
String outputFormat = "struct<";
for(int i=0;i<outputSchema.length;i++){
outputFormat+=outputSchema[i]+":string,";
}
outputFormat+="lastRecordHash:string,currentHash:string>";
TypeDescription orcSchema = TypeDescription.fromString(outputFormat);
// Initializes buffers
VectorizedRowBatch batch = orcSchema.createRowBatch();
ArrayList<BytesColumnVector> orcBuffers = new ArrayList<>(numFields+2);
for(int i=0;i<numFields+2;i++){
BytesColumnVector bcv = (BytesColumnVector) batch.cols[i];
bcv.initBuffer();
orcBuffers.add(i, bcv);
}
...
// Initializes writer
Writer writer=null;
try{
writer = OrcFile.createWriter(new Path(hdfsUri+outputPath), OrcFile.writerOptions(conf).setSchema(orcSchema));
partitionCounter++;
}
catch(IOException e){
log.error("Cannot open hdfs file. Reason: "+e.getMessage());
session.transfer(flowfile, hdfsFailure);
return;
}
// Writes content
String[] records = ...
for(int i=0;i<records.length;i++){
fields = records[i].split(fieldSeparator);
int row=batch.size++;
// Filling the orc buffers
for(int j=0;j<numFields;j++){
orcBuffers.get(j).setVal(row, fields[j].getBytes());
hashDigest.append(fields[j]);
}
if (batch.size == batch.getMaxSize()) {
try{
writer.addRowBatch(batch);
batch.reset();
}
catch(IOException e){
log.error("Cannot write to hdfs. Reason: "+e.getMessage());
return;
}
}
}
if (batch.size != 0) {
try{
writer.addRowBatch(batch);
batch.reset();
}
catch(IOException e){
log.error("Cannot write to hdfs. Reason: "+e.getMessage());
return;
}
}
writer.close();