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https://issues.apache.org/jira/browse/PARQUET-1033?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16050897#comment-16050897
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yugu commented on PARQUET-1033:
-------------------------------
Thanks for the response!
{code:java}
Column : 0 max def : 1 max rep : 0
is required 0 is repeated 0 is optional 1
Column 0: c (INT64,NONE)
Column 0, Values: 1000
Column 0, uncompsize/compsize 9321/5340
, Null Values: 0, Distinct Values: 0
Column : 1 max def : 1 max rep : 0
is required 0 is repeated 0 is optional 1
Column 1: b (INT64,NONE)
Column 1, Values: 1000
Column 1, uncompsize/compsize 9305/5336
, Null Values: 3, Distinct Values: 0
Column : 2 max def : 1 max rep : 0
is required 0 is repeated 0 is optional 1
Column 2: e (DOUBLE,NONE)
Column 2, Values: 1000
Column 2, uncompsize/compsize 9305/7286
, Null Values: 3, Distinct Values: 0
Column : 3 max def : 1 max rep : 0
is required 0 is repeated 0 is optional 1
Column 3: f (INT64,NONE)
Column 3, Values: 1000
Column 3, uncompsize/compsize 9281/5361
, Null Values: 6, Distinct Values: 0
{code}
> Mismatched Read and Write
> -------------------------
>
> Key: PARQUET-1033
> URL: https://issues.apache.org/jira/browse/PARQUET-1033
> Project: Parquet
> Issue Type: Bug
> Components: parquet-cpp
> Affects Versions: cpp-1.1.0
> Environment: Rstudio
> Reporter: yugu
> Attachments: bla.csv, wrong.csv
>
>
> The readbatchspaced reads in more lines than the actual data in file with
> nulls.
> So I've been trying to write something like [bla.csv] with mixed nulls.
> The problem is that, when I use writebatchspaced to write and readbatchspaced
> to read back,
> Instead of getting the correct values, I'm getting less values than I
> initially wrote and additional nulls in the middle, a brief example as follows
> written
> {code:c++}
> -2147483648
> -2147483648
> 30
> 40
> 50
> 60
> 70
> 80
> 90
> -2147483648
> -2147483648
> {code}
> actual read
> {code:c++}
> -2147483648
> -2147483648
> -2147483648
> -2147483648
> 30
> 40
> 50
> 60
> 70
> -2147483648
> 9
> 80
> 90
> -2147483648
> -2147483648
> {code}
> My code for reader
> {code: c++}
> int64_t rows_read = _c_reader->ReadBatchSpaced(arraysize,
> definition_level.data(), repetition_level.data(), ivalues.data(),
> valid_bits.data(), 0, &levels_read, &values_read, &null_count);
> for (int tmp = 0; tmp < rows_read; tmp ++)
> {
> if (definition_level[tmp] < col_rep_type[__c])
> {
> ivalues[tmp] = NA_INTEGER;
> }
> //simply set value
> if (fsize != 1 && filter[tmp + offset + cur_offset])
> {
> //rvec[__c].set(fcnt[__c],0,values[tmp]);
> dff.set_value(fcnt[__c],0,__c,ivalues[tmp]);
> fcnt[__c] ++;
> }
> else if (fsize == 1)
> {
> //rvec[__c].set(tmp,offset+cur_offset,values[tmp]);
> dff.set_value(tmp,offset+cur_offset,__c,ivalues[tmp]);
> }
> }
> {code}
> my code for writer
> {code: c++}
> parquet::Int64Writer* int64_writer =
> static_cast<parquet::Int64Writer*>(rg_writer->NextColumn());
> IntegerVector tmpvec = df[__c];
> for (int tmp = 0; tmp < rows_to_write; tmp++)
> {
> ivec[tmp] = tmpvec[tmp+offset];
> if (tmpvec[tmp+offset] == NA_INTEGER)
> {
> def_level[tmp]=0;
> }
> }
> int64_writer->WriteBatchSpaced(rows_to_write, def_level.data(),
> rep_level.data(), valid_bits.data(), 0, ivec.data());
> {code}
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