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i want to convert a report which is in text format into a xlsx document. but the problem is data in text file has some missing column values

typical report data is like this,
A simple approach that i wanted to follow was to use space as a delimeter but the data is not in a well structured manner

read the first line of the file and split each column by checking if there is more than 1 whitespace. In addition to that you count how long each column is.
after that you can simply go through the other rows containing data and extract the information, by checking the length of the column you are at
(and please don't put images of text into stackoverflow, actual text is better)
EDIT:
python implementation:
import pandas as pd
import re
file = "path/to/file.txt"
with open("file", "r") as f:
line = f.readline()
columns = re.split(" +", line)
column_sizes = [re.finditer(column, line).__next__().start() for column in columns]
column_sizes.append(-1)
# ------
f.readline()
rows = []
while True:
line = f.readline()
if len(line) == 0:
break
elif line[-1] != "\n":
line += "\n"
row = []
for i in range(len(column_sizes)-1):
value = line[column_sizes[i]:column_sizes[i+1]]
row.append(value)
rows.append(row)
columns = [column.strip() for column in columns]
df = pd.DataFrame(data=rows, columns=columns)
print(df)
df.to_excel(file.split(".")[0] + ".xlsx")

You are correct that export from text to csv is not a practical start, however it would be good for import. So here is your 100% well structured source text to be saved into plain text.
And here is the import to Excel

you can use google lens to get your data out of this picture then copy and paste to excel file. the easiest way.
or first convert this into pdf then use google lens. go to file scroll to print option in print setting their is an option of MICROSOFT PRINT TO PDF select that and press print it will ask you for location then give it and use it

How to set ORC BytesColumnVector value to NULL?

I'm writing an ORC file using Groovy.
One of the columns is a String. The ORC column type is:
.addField("Name", TypeDescription.createString())
The column vector is:
BytesColumnVector vName = (BytesColumnVector) batch.cols[1]
The values to be assigned to vName may include NULLs, but I can't get ORC to write a null value into its data.
Attempting to assign a null value through set(), setValue() or setRef() throws a null pointer error, either at the point of assignment, or when the batch row is written deeper within ORC.
The closest I can get is this:
byte[] b = new byte[0]
vName.setRef (i,b,0,0)
but this puts an empty string into the data file, as shown in the following dump snippet (see the second column, 'Name'):
{"ProductID":355,"Name":"","MakeFlag":false,"StandardCost":0,"Weight":null,"ModifiedDate":"2014-02-08 10:01:36.827"}
Any thoughts on how to set a null string?
EDIT: With the answer to this question, I was able to complete some code to write the contents of a database table to ORC. It may be useful to people searching for ORC-related examples.
https://www.linkedin.com/pulse/orc-adls-polybase-ron-dunn/enter link description here

An empty string is what I use. I don't think there's another way to do it.
Just make sure you mark the column as containing nulls.
Your code would ideally look like this:
BytesColumnVector vName = (BytesColumnVector) batch.cols[1];
byte[] EMPTY_BYTES = "".getBytes(StandardCharsets.UTF_8);
vName.setRef(i, EMPTY_BYTES, 0, 0);
vName.isNull[i] = true;
vName.noNulls = false;

what is this error and how do I prevent this? The bucket expression values are not comparable and no comparator specified

Im using jasperReports with dynamicReports and I want to build a crosstab report. so far I have figured out that this error happens when I add columns that are numeric to rowGroups or columnGroups. this is what I get and I don't know why and I don't know how to solve this.
The error is:
The bucket expression values are not comparable and no comparator specified
My code is:
CrosstabValues crosstabValues = report.getCrosstab().getCrosstabValues();
Collection<CrosstabRowGroupBuilder> rowGroup = generateRowGroup(crosstabValues);
Collection<CrosstabColumnGroupBuilder> columnGroup = generateColumnGroup(crosstabValues);
Collection<CrosstabMeasureBuilder> measures = generateMeasures(crosstabValues);
CrosstabBuilder crosstab = ctab.crosstab();
for(CrosstabRowGroupBuilder row : rowGroup)
crosstab.addRowGroup(row);
for(CrosstabColumnGroupBuilder columnGroupBuilder : columnGroup)
crosstab.addColumnGroup(columnGroupBuilder);
for(CrosstabMeasureBuilder measure : measures)
crosstab.addMeasure(measure);
crosstab.headerCell(cmp.text(crosstabValues.getHeader())
.setStyle(getCrosstabHeaderCellStyle(report.getTemplate().getReportTemplateValues())));

the problem was the class I was giving to this method:
CrosstabRowGroupBuilder cTabRow = ctab.rowGroup(column.getName()
, getColumnTypeClass(column));
i was using Number class for all numeric data. the funny thing is that it worked for measures but it did not work for rowGroup or columnGroup. that is why I got confused.
now with Integer.Class or Long.Class it works good.

Crosstab must know in which order display rowHeader or columnHeader. And crosstab must know in which cell of crosstab put measure. It is possible only if crosstab is able compare rowGroup (and ColumnGroup) values.
Classes which used in rowGroup and columnGroup must implements Comparable interface

Faceting using SolrJ and Solr4

I've gone through the related questions on this site but haven't found a relevant solution.
When querying my Solr4 index using an HTTP request of the form
&facet=true&facet.field=country
The response contains all the different countries along with counts per country.
How can I get this information using SolrJ?
I have tried the following but it only returns total counts across all countries, not per country:
solrQuery.setFacet(true);
solrQuery.addFacetField("country");
The following does seem to work, but I do not want to have to explicitly set all the groupings beforehand:
solrQuery.addFacetQuery("country:usa");
solrQuery.addFacetQuery("country:canada");
Secondly, I'm not sure how to extract the facet data from the QueryResponse object.
So two questions:
1) Using SolrJ how can I facet on a field and return the groupings without explicitly specifying the groups?
2) Using SolrJ how can I extract the facet data from the QueryResponse object?
Thanks.
Update:
I also tried something similar to Sergey's response (below).
List<FacetField> ffList = resp.getFacetFields();
log.info("size of ffList:" + ffList.size());
for(FacetField ff : ffList){
String ffname = ff.getName();
int ffcount = ff.getValueCount();
log.info("ffname:" + ffname + "|ffcount:" + ffcount);
}
The above code shows ffList with size=1 and the loop goes through 1 iteration. In the output ffname="country" and ffcount is the total number of rows that match the original query.
There is no per-country breakdown here.
I should mention that on the same solrQuery object I am also calling addField and addFilterQuery. Not sure if this impacts faceting:
solrQuery.addField("user-name");
solrQuery.addField("user-bio");
solrQuery.addField("country");
solrQuery.addFilterQuery("user-bio:" + "(Apple OR Google OR Facebook)");
Update 2:
I think I got it, again based on what Sergey said below. I extracted the List object using FacetField.getValues().
List<FacetField> fflist = resp.getFacetFields();
for(FacetField ff : fflist){
String ffname = ff.getName();
int ffcount = ff.getValueCount();
List<Count> counts = ff.getValues();
for(Count c : counts){
String facetLabel = c.getName();
long facetCount = c.getCount();
}
}
In the above code the label variable matches each facet group and count is the corresponding count for that grouping.

Actually you need only to set facet field and facet will be activated (check SolrJ source code):
solrQuery.addFacetField("country");
Where did you look for facet information? It must be in QueryResponse.getFacetFields (getValues.getCount)

In the solr Response you should use QueryResponse.getFacetFields() to get List of FacetFields among which figure "country". so "country" is idenditfied by QueryResponse.getFacetFields().get(0)
you iterate then over it to get List of Count objects using
QueryResponse.getFacetFields().get(0).getValues().get(i)
and get value name of facet using QueryResponse.getFacetFields().get(0).getValues().get(i).getName()
and the corresponding weight using
QueryResponse.getFacetFields().get(0).getValues().get(i).getCount()

hbase: querying for specific value with dynamically created qualifier

Hy,
Hbase allows a column family to have different qualifiers in different rows. In my case a column family has the following specification
abc[cnt] # where cnt is an integer that can be any positive integer
what I want to achieve is to get all the data from a different column family, only if the value of the described qualifier (in a different column family) matches.
for narrowing the Scan down I just add those two families I need for the query. but that is as far as I could get for now.
I already achieved the same behaviour with a SingleColumnValueFilter, but then the qualifier was known in advance. but for this one the qualifier can be abc1, abc2 ... there would be too many options, thus too many SingleColumnValueFilter's.
Then I tried using the ValueFilter, but this filter only returns those columns that match the value, thus the wrong column family.
Can you think of any way to achieve my goal, querying for a value within a dynamically created qualifier in a column family and returning the contents of the column family and another column family (as specified when creating the Scan)? preferably only querying once.
Thanks in advance for any input.
UPDATE: (for clarification as discussed in the comments)
in a more graphical way, a row may have the following:
colfam1:aaa
colfam1:aab
colfam1:aac
colfam2:abc1
colfam2:abc2
whereas I want to get all of the family colfam1 if any value of colfam2 has e.g. the value x, with regard to the fact that colfam2:abc[cnt] is dynamically created with cnt being any positive integer

I see two approaches for this: client-side filtering or server-side filtering.
Client-side filtering is more straightforward. The Scan adds only the two families "colfam1" and "colfam2". Then, for each Result you get from scanner.next(), you must filter according to the qualifiers in "colfam2".
byte[] queryValue = Bytes.toBytes("x");
Scan scan = new Scan();
scan.addFamily(Bytes.toBytes("colfam1");
scan.addFamily(Bytes.toBytes("colfam2");
ResultScanner scanner = myTable.getScanner(scan);
Result res;
while((res = scanner.next()) != null) {
NavigableMap<byte[],byte[]> colfam2 = res.getFamilyMap(Bytes.toBytes("colfam2"));
boolean foundQueryValue = false;
SearchForQueryValue: while(!colfam2.isEmpty()) {
Entry<byte[], byte[]> cell = colfam2.pollFirstEntry();
if( Bytes.equals(cell.getValue(), queryValue) ) {
foundQueryValue = true;
break SearchForQueryValue;
}
}
if(foundQueryValue) {
NavigableMap<byte[],byte[]> colfam1 = res.getFamilyMap(Bytes.toBytes("colfam1"));
LinkedList<KeyValue> listKV = new LinkedList<KeyValue>();
while(!colfam1.isEmpty()) {
Entry<byte[], byte[]> cell = colfam1.pollFirstEntry();
listKV.add(new KeyValue(res.getRow(), Bytes.toBytes("colfam1"), cell.getKey(), cell.getValue());
}
Result filteredResult = new Result(listKV);
}
}
(This code was not tested)
And then finally filteredResult is what you want. This approach is not elegant and might also give you performance issues if you have a lot of data in those families. If "colfam1" has a lot of data, you don't want to transfer it to the client if it will end up not being used if value "x" is not in a qualifier of "colfam2".
Server-side filtering. This requires you to implement your own Filter class. I believe you cannot use the provided filter types to do this. Implementing your own Filter takes some work, you also need to compile it as a .jar and make it available to all RegionServers. But then, it helps you to avoid sending loads of data of "colfam1" in vain.
It is too much work for me to show you how to custom implement a Filter, so I recommend reading a good book (HBase: The Definitive Guide for example). However, the Filter code will look pretty much like the client-side filtering I showed you, so that's half of the work done.