How to reduce the size of merged PDF/A-1b files with pdfbox or other java library
Input: A list of (e.g. 14) PDF/A-1b files with embedded fonts.
Processing: Doing a simple merge with Apache PDFBOX.
Result: 1 PDF/A-1b file with large (too large) file size. (It is almost the sum of the size of all the source files).
Question: Is there a way to reduce the file size of the resulting PDF?
Idea: Remove redundant embedded fonts. But how to? And is it the right way to do?
Unfortunately the following code is not doing the job, but is highlighting the obvious problem.
try (PDDocument document = PDDocument.load(new File("E:/tmp/16189_ZU_20181121195111_5544_2008-12-31_Standardauswertung.pdf"))) {
List<COSName> collectedFonts = new ArrayList<>();
PDPageTree pages = document.getDocumentCatalog().getPages();
int pageNr = 0;
for (PDPage page : pages) {
pageNr++;
Iterable<COSName> names = page.getResources().getFontNames();
System.out.println("Page " + pageNr);
for (COSName name : names) {
collectedFonts.add(name);
System.out.print("t" + name + " - ");
PDFont font = page.getResources().getFont(name);
System.out.println(font + ", embedded: " + font.isEmbedded());
page.getCOSObject().removeItem(COSName.F);
page.getResources().getCOSObject().removeItem(name);
}
}
document.save("E:/tmp/output.pdf");
}
The code produces an output like that:
Page 1
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 2
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 3
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 4
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 5
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 6
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 7
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 8
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 9
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 10
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 11
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 12
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 13
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 14
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Any help appreciated ...
java pdf fonts pdfbox filesize
|
show 8 more comments
Input: A list of (e.g. 14) PDF/A-1b files with embedded fonts.
Processing: Doing a simple merge with Apache PDFBOX.
Result: 1 PDF/A-1b file with large (too large) file size. (It is almost the sum of the size of all the source files).
Question: Is there a way to reduce the file size of the resulting PDF?
Idea: Remove redundant embedded fonts. But how to? And is it the right way to do?
Unfortunately the following code is not doing the job, but is highlighting the obvious problem.
try (PDDocument document = PDDocument.load(new File("E:/tmp/16189_ZU_20181121195111_5544_2008-12-31_Standardauswertung.pdf"))) {
List<COSName> collectedFonts = new ArrayList<>();
PDPageTree pages = document.getDocumentCatalog().getPages();
int pageNr = 0;
for (PDPage page : pages) {
pageNr++;
Iterable<COSName> names = page.getResources().getFontNames();
System.out.println("Page " + pageNr);
for (COSName name : names) {
collectedFonts.add(name);
System.out.print("t" + name + " - ");
PDFont font = page.getResources().getFont(name);
System.out.println(font + ", embedded: " + font.isEmbedded());
page.getCOSObject().removeItem(COSName.F);
page.getResources().getCOSObject().removeItem(name);
}
}
document.save("E:/tmp/output.pdf");
}
The code produces an output like that:
Page 1
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 2
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 3
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 4
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 5
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 6
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 7
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 8
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 9
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 10
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 11
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 12
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 13
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 14
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Any help appreciated ...
java pdf fonts pdfbox filesize
Are the fonts embedded fully? Or as subsets?
– mkl
Nov 22 '18 at 6:58
@mkl from the output it looks as if they're fully embedded. So if the files are all from the same source, and have the same dictionary, then one could really replace the objects in the fonts resources.
– Tilman Hausherr
Nov 22 '18 at 7:28
After merging make sure to check the result file with preflight to be sure it is still PDF/A. I remember I had a problem years ago involving multiple output intents.
– Tilman Hausherr
Nov 22 '18 at 7:30
@mkl like Tilman gessed, I am almost quite sure that they are embedded fully
– hab
Nov 22 '18 at 8:37
1
Ok, the fonts indeed are completely embedded. And identically. Files like that can be optimized without too much effort. I'll try and find some time for a working answer.
– mkl
Nov 22 '18 at 11:16
|
show 8 more comments
Input: A list of (e.g. 14) PDF/A-1b files with embedded fonts.
Processing: Doing a simple merge with Apache PDFBOX.
Result: 1 PDF/A-1b file with large (too large) file size. (It is almost the sum of the size of all the source files).
Question: Is there a way to reduce the file size of the resulting PDF?
Idea: Remove redundant embedded fonts. But how to? And is it the right way to do?
Unfortunately the following code is not doing the job, but is highlighting the obvious problem.
try (PDDocument document = PDDocument.load(new File("E:/tmp/16189_ZU_20181121195111_5544_2008-12-31_Standardauswertung.pdf"))) {
List<COSName> collectedFonts = new ArrayList<>();
PDPageTree pages = document.getDocumentCatalog().getPages();
int pageNr = 0;
for (PDPage page : pages) {
pageNr++;
Iterable<COSName> names = page.getResources().getFontNames();
System.out.println("Page " + pageNr);
for (COSName name : names) {
collectedFonts.add(name);
System.out.print("t" + name + " - ");
PDFont font = page.getResources().getFont(name);
System.out.println(font + ", embedded: " + font.isEmbedded());
page.getCOSObject().removeItem(COSName.F);
page.getResources().getCOSObject().removeItem(name);
}
}
document.save("E:/tmp/output.pdf");
}
The code produces an output like that:
Page 1
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 2
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 3
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 4
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 5
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 6
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 7
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 8
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 9
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 10
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 11
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 12
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 13
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 14
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Any help appreciated ...
java pdf fonts pdfbox filesize
Input: A list of (e.g. 14) PDF/A-1b files with embedded fonts.
Processing: Doing a simple merge with Apache PDFBOX.
Result: 1 PDF/A-1b file with large (too large) file size. (It is almost the sum of the size of all the source files).
Question: Is there a way to reduce the file size of the resulting PDF?
Idea: Remove redundant embedded fonts. But how to? And is it the right way to do?
Unfortunately the following code is not doing the job, but is highlighting the obvious problem.
try (PDDocument document = PDDocument.load(new File("E:/tmp/16189_ZU_20181121195111_5544_2008-12-31_Standardauswertung.pdf"))) {
List<COSName> collectedFonts = new ArrayList<>();
PDPageTree pages = document.getDocumentCatalog().getPages();
int pageNr = 0;
for (PDPage page : pages) {
pageNr++;
Iterable<COSName> names = page.getResources().getFontNames();
System.out.println("Page " + pageNr);
for (COSName name : names) {
collectedFonts.add(name);
System.out.print("t" + name + " - ");
PDFont font = page.getResources().getFont(name);
System.out.println(font + ", embedded: " + font.isEmbedded());
page.getCOSObject().removeItem(COSName.F);
page.getResources().getCOSObject().removeItem(name);
}
}
document.save("E:/tmp/output.pdf");
}
The code produces an output like that:
Page 1
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 2
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 3
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 4
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 5
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 6
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 7
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 8
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 9
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 10
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 11
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F33} - PDTrueTypeFont ArialMT-BoldItalic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 12
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 13
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Page 14
COSName{F23} - PDTrueTypeFont ArialMT-Bold, embedded: true
COSName{F25} - PDTrueTypeFont ArialMT-Italic, embedded: true
COSName{F27} - PDTrueTypeFont ArialMT-Regular, embedded: true
Any help appreciated ...
java pdf fonts pdfbox filesize
java pdf fonts pdfbox filesize
edited Nov 30 '18 at 9:49
mkl
53.4k1166145
53.4k1166145
asked Nov 21 '18 at 20:55
habhab
617
617
Are the fonts embedded fully? Or as subsets?
– mkl
Nov 22 '18 at 6:58
@mkl from the output it looks as if they're fully embedded. So if the files are all from the same source, and have the same dictionary, then one could really replace the objects in the fonts resources.
– Tilman Hausherr
Nov 22 '18 at 7:28
After merging make sure to check the result file with preflight to be sure it is still PDF/A. I remember I had a problem years ago involving multiple output intents.
– Tilman Hausherr
Nov 22 '18 at 7:30
@mkl like Tilman gessed, I am almost quite sure that they are embedded fully
– hab
Nov 22 '18 at 8:37
1
Ok, the fonts indeed are completely embedded. And identically. Files like that can be optimized without too much effort. I'll try and find some time for a working answer.
– mkl
Nov 22 '18 at 11:16
|
show 8 more comments
Are the fonts embedded fully? Or as subsets?
– mkl
Nov 22 '18 at 6:58
@mkl from the output it looks as if they're fully embedded. So if the files are all from the same source, and have the same dictionary, then one could really replace the objects in the fonts resources.
– Tilman Hausherr
Nov 22 '18 at 7:28
After merging make sure to check the result file with preflight to be sure it is still PDF/A. I remember I had a problem years ago involving multiple output intents.
– Tilman Hausherr
Nov 22 '18 at 7:30
@mkl like Tilman gessed, I am almost quite sure that they are embedded fully
– hab
Nov 22 '18 at 8:37
1
Ok, the fonts indeed are completely embedded. And identically. Files like that can be optimized without too much effort. I'll try and find some time for a working answer.
– mkl
Nov 22 '18 at 11:16
Are the fonts embedded fully? Or as subsets?
– mkl
Nov 22 '18 at 6:58
Are the fonts embedded fully? Or as subsets?
– mkl
Nov 22 '18 at 6:58
@mkl from the output it looks as if they're fully embedded. So if the files are all from the same source, and have the same dictionary, then one could really replace the objects in the fonts resources.
– Tilman Hausherr
Nov 22 '18 at 7:28
@mkl from the output it looks as if they're fully embedded. So if the files are all from the same source, and have the same dictionary, then one could really replace the objects in the fonts resources.
– Tilman Hausherr
Nov 22 '18 at 7:28
After merging make sure to check the result file with preflight to be sure it is still PDF/A. I remember I had a problem years ago involving multiple output intents.
– Tilman Hausherr
Nov 22 '18 at 7:30
After merging make sure to check the result file with preflight to be sure it is still PDF/A. I remember I had a problem years ago involving multiple output intents.
– Tilman Hausherr
Nov 22 '18 at 7:30
@mkl like Tilman gessed, I am almost quite sure that they are embedded fully
– hab
Nov 22 '18 at 8:37
@mkl like Tilman gessed, I am almost quite sure that they are embedded fully
– hab
Nov 22 '18 at 8:37
1
1
Ok, the fonts indeed are completely embedded. And identically. Files like that can be optimized without too much effort. I'll try and find some time for a working answer.
– mkl
Nov 22 '18 at 11:16
Ok, the fonts indeed are completely embedded. And identically. Files like that can be optimized without too much effort. I'll try and find some time for a working answer.
– mkl
Nov 22 '18 at 11:16
|
show 8 more comments
2 Answers
2
active
oldest
votes
The code in this answer is an attempt to optimize documents like the OP's example document, i.e. documents containing copies of exactly identical objects, in the case at hand completely identical, fully embedded fonts. It does not merge merely nearly identical objects, e.g. multiple subsets of the same font into one single union subset.
In the course of comments to the questions it became clear that the duplicate fonts in the OP's PDF indeed were identical full copies of a source font file. To merge such duplicate objects, one has to collect the complex objects (arrays, dictionaries, streams) of a document, compare them with each other, and then merge duplicates.
As actual pairwise comparison of all complex objects of a document can take too much time in case of large documents, the following code calculates a hash of these objects and only compares objects with identical hash.
To merge duplicates, the code selects one of the duplicates and replaces all references to any of the other duplicates with a reference to the chosen one, removing the other duplicates from the document object pool. To do this more effectively, the code initially not only collects all complex objects but also all references to each of them.
The optimization code
This is the method to call to optimize a PDDocument
:
public void optimize(PDDocument pdDocument) throws IOException {
Map<COSBase, Collection<Reference>> complexObjects = findComplexObjects(pdDocument);
for (int pass = 0; ; pass++) {
int merges = mergeDuplicates(complexObjects);
if (merges <= 0) {
System.out.printf("Pass %d - No merged objectsnn", pass);
break;
}
System.out.printf("Pass %d - Merged objects: %dnn", pass, merges);
}
}
(OptimizeAfterMerge method under test)
The optimization takes multiple passes as the equality of some objects can only be recognized after duplicates they reference have been merged.
The following helper methods and classes collect the complex objects of a PDF and the references to each of them:
Map<COSBase, Collection<Reference>> findComplexObjects(PDDocument pdDocument) {
COSDictionary catalogDictionary = pdDocument.getDocumentCatalog().getCOSObject();
Map<COSBase, Collection<Reference>> incomingReferences = new HashMap<>();
incomingReferences.put(catalogDictionary, new ArrayList<>());
Set<COSBase> lastPass = Collections.<COSBase>singleton(catalogDictionary);
Set<COSBase> thisPass = new HashSet<>();
while(!lastPass.isEmpty()) {
for (COSBase object : lastPass) {
if (object instanceof COSArray) {
COSArray array = (COSArray) object;
for (int i = 0; i < array.size(); i++) {
addTarget(new ArrayReference(array, i), incomingReferences, thisPass);
}
} else if (object instanceof COSDictionary) {
COSDictionary dictionary = (COSDictionary) object;
for (COSName key : dictionary.keySet()) {
addTarget(new DictionaryReference(dictionary, key), incomingReferences, thisPass);
}
}
}
lastPass = thisPass;
thisPass = new HashSet<>();
}
return incomingReferences;
}
void addTarget(Reference reference, Map<COSBase, Collection<Reference>> incomingReferences, Set<COSBase> thisPass) {
COSBase object = reference.getTo();
if (object instanceof COSArray || object instanceof COSDictionary) {
Collection<Reference> incoming = incomingReferences.get(object);
if (incoming == null) {
incoming = new ArrayList<>();
incomingReferences.put(object, incoming);
thisPass.add(object);
}
incoming.add(reference);
}
}
(OptimizeAfterMerge helper methods findComplexObjects
and addTarget
)
interface Reference {
public COSBase getFrom();
public COSBase getTo();
public void setTo(COSBase to);
}
static class ArrayReference implements Reference {
public ArrayReference(COSArray array, int index) {
this.from = array;
this.index = index;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.get(index));
}
@Override
public void setTo(COSBase to) {
from.set(index, to);
}
final COSArray from;
final int index;
}
static class DictionaryReference implements Reference {
public DictionaryReference(COSDictionary dictionary, COSName key) {
this.from = dictionary;
this.key = key;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.getDictionaryObject(key));
}
@Override
public void setTo(COSBase to) {
from.setItem(key, to);
}
final COSDictionary from;
final COSName key;
}
(OptimizeAfterMerge helper interface Reference
with implementations ArrayReference
and DictionaryReference
)
And the following helper methods and classes finally identify and merge duplicates:
int mergeDuplicates(Map<COSBase, Collection<Reference>> complexObjects) throws IOException {
List<HashOfCOSBase> hashes = new ArrayList<>(complexObjects.size());
for (COSBase object : complexObjects.keySet()) {
hashes.add(new HashOfCOSBase(object));
}
Collections.sort(hashes);
int removedDuplicates = 0;
if (!hashes.isEmpty()) {
int runStart = 0;
int runHash = hashes.get(0).hash;
for (int i = 1; i < hashes.size(); i++) {
int hash = hashes.get(i).hash;
if (hash != runHash) {
int runSize = i - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, i));
}
runHash = hash;
runStart = i;
}
}
int runSize = hashes.size() - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, hashes.size()));
}
}
return removedDuplicates;
}
int mergeRun(Map<COSBase, Collection<Reference>> complexObjects, List<HashOfCOSBase> run) {
int removedDuplicates = 0;
List<List<COSBase>> duplicateSets = new ArrayList<>();
for (HashOfCOSBase entry : run) {
COSBase element = entry.object;
for (List<COSBase> duplicateSet : duplicateSets) {
if (equals(element, duplicateSet.get(0))) {
duplicateSet.add(element);
element = null;
break;
}
}
if (element != null) {
List<COSBase> duplicateSet = new ArrayList<>();
duplicateSet.add(element);
duplicateSets.add(duplicateSet);
}
}
System.out.printf("Identified %d set(s) of identical objects in run.n", duplicateSets.size());
for (List<COSBase> duplicateSet : duplicateSets) {
if (duplicateSet.size() > 1) {
COSBase surviver = duplicateSet.remove(0);
Collection<Reference> surviverReferences = complexObjects.get(surviver);
for (COSBase object : duplicateSet) {
Collection<Reference> references = complexObjects.get(object);
for (Reference reference : references) {
reference.setTo(surviver);
surviverReferences.add(reference);
}
complexObjects.remove(object);
removedDuplicates++;
}
surviver.setDirect(false);
}
}
return removedDuplicates;
}
boolean equals(COSBase a, COSBase b) {
if (a instanceof COSArray) {
if (b instanceof COSArray) {
COSArray aArray = (COSArray) a;
COSArray bArray = (COSArray) b;
if (aArray.size() == bArray.size()) {
for (int i=0; i < aArray.size(); i++) {
if (!resolve(aArray.get(i)).equals(resolve(bArray.get(i))))
return false;
}
return true;
}
}
} else if (a instanceof COSDictionary) {
if (b instanceof COSDictionary) {
COSDictionary aDict = (COSDictionary) a;
COSDictionary bDict = (COSDictionary) b;
Set<COSName> keys = aDict.keySet();
if (keys.equals(bDict.keySet())) {
for (COSName key : keys) {
if (!resolve(aDict.getItem(key)).equals(bDict.getItem(key)))
return false;
}
// In case of COSStreams we strictly speaking should
// also compare the stream contents here. But apparently
// their hashes coincide well enough for the original
// hashing equality, so let's just assume...
return true;
}
}
}
return false;
}
static COSBase resolve(COSBase object) {
while (object instanceof COSObject)
object = ((COSObject)object).getObject();
return object;
}
(OptimizeAfterMerge helper methods mergeDuplicates
, mergeRun
, equals
, and resolve
)
static class HashOfCOSBase implements Comparable<HashOfCOSBase> {
public HashOfCOSBase(COSBase object) throws IOException {
this.object = object;
this.hash = calculateHash(object);
}
int calculateHash(COSBase object) throws IOException {
if (object instanceof COSArray) {
int result = 1;
for (COSBase member : (COSArray)object)
result = 31 * result + member.hashCode();
return result;
} else if (object instanceof COSDictionary) {
int result = 3;
for (Map.Entry<COSName, COSBase> entry : ((COSDictionary)object).entrySet())
result += entry.hashCode();
if (object instanceof COSStream) {
try ( InputStream data = ((COSStream)object).createRawInputStream() ) {
MessageDigest md = MessageDigest.getInstance("MD5");
byte buffer = new byte[8192];
int bytesRead = 0;
while((bytesRead = data.read(buffer)) >= 0)
md.update(buffer, 0, bytesRead);
result = 31 * result + Arrays.hashCode(md.digest());
} catch (NoSuchAlgorithmException e) {
throw new IOException(e);
}
}
return result;
} else {
throw new IllegalArgumentException(String.format("Unknown complex COSBase type %s", object.getClass().getName()));
}
}
final COSBase object;
final int hash;
@Override
public int compareTo(HashOfCOSBase o) {
int result = Integer.compare(hash, o.hash);
if (result == 0)
result = Integer.compare(hashCode(), o.hashCode());
return result;
}
}
(OptimizeAfterMerge helper class HashOfCOSBase
)
Applying the code to the OP's example document
The OP's example document is about 6.5 MB in size. Applying the above code like this
PDDocument pdDocument = PDDocument.load(SOURCE);
optimize(pdDocument);
pdDocument.save(RESULT);
results in a PDF less than 700 KB in size, and it appears to be complete.
(If something's missing, please tell, I'll try and fix that.)
Words of warning
On one hand this optimizer will not recognize all identical duplicates. In particular in case of circular references duplicate circles of objects won't be recognized because the code only recognizes duplicates if their contents are identical which usually does not happen in duplicate object circles.
On the other hand this optimizer might already be overly eager in some cases because some duplicates might be needed as separate objects for PDF viewers to accept each instance as an individual entity.
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
add a comment |
When debugging in the file, I recognized that the font files for the same fonts were referenced several times. So replacing the actual font file item in the dictionary with an already viewed font file item, the reference was removed and compression could be done. By that, I was able to shrink a 30 MB File to around 6 MB.
File file = new File("test.pdf");
PDDocument doc = PDDocument.load(file);
Map<String, COSBase> fontFileCache = new HashMap<>();
for (int pageNumber = 0; pageNumber < doc.getNumberOfPages(); pageNumber++) {
final PDPage page = doc.getPage(pageNumber);
COSDictionary pageDictionary = (COSDictionary) page.getResources().getCOSObject().getDictionaryObject(COSName.FONT);
for (COSName currentFont : pageDictionary.keySet()) {
COSDictionary fontDictionary = (COSDictionary) pageDictionary.getDictionaryObject(currentFont);
for (COSName actualFont : fontDictionary.keySet()) {
COSBase actualFontDictionaryObject = fontDictionary.getDictionaryObject(actualFont);
if (actualFontDictionaryObject instanceof COSDictionary) {
COSDictionary fontFile = (COSDictionary) actualFontDictionaryObject;
if (fontFile.getItem(COSName.FONT_NAME) instanceof COSName) {
COSName fontName = (COSName) fontFile.getItem(COSName.FONT_NAME);
fontFileCache.computeIfAbsent(fontName.getName(), key -> fontFile.getItem(COSName.FONT_FILE2));
fontFile.setItem(COSName.FONT_FILE2, fontFileCache.get(fontName.getName()));
}
}
}
}
}
final ByteArrayOutputStream baos = new ByteArrayOutputStream();
doc.save(baos);
final File compressed = new File("test_compressed.pdf");
baos.writeTo(new FileOutputStream(compressed));
Maybe this is not the most elegant way to do that, but it works and keeps the PDF/A-1b compatibility.
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
2
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
add a comment |
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The code in this answer is an attempt to optimize documents like the OP's example document, i.e. documents containing copies of exactly identical objects, in the case at hand completely identical, fully embedded fonts. It does not merge merely nearly identical objects, e.g. multiple subsets of the same font into one single union subset.
In the course of comments to the questions it became clear that the duplicate fonts in the OP's PDF indeed were identical full copies of a source font file. To merge such duplicate objects, one has to collect the complex objects (arrays, dictionaries, streams) of a document, compare them with each other, and then merge duplicates.
As actual pairwise comparison of all complex objects of a document can take too much time in case of large documents, the following code calculates a hash of these objects and only compares objects with identical hash.
To merge duplicates, the code selects one of the duplicates and replaces all references to any of the other duplicates with a reference to the chosen one, removing the other duplicates from the document object pool. To do this more effectively, the code initially not only collects all complex objects but also all references to each of them.
The optimization code
This is the method to call to optimize a PDDocument
:
public void optimize(PDDocument pdDocument) throws IOException {
Map<COSBase, Collection<Reference>> complexObjects = findComplexObjects(pdDocument);
for (int pass = 0; ; pass++) {
int merges = mergeDuplicates(complexObjects);
if (merges <= 0) {
System.out.printf("Pass %d - No merged objectsnn", pass);
break;
}
System.out.printf("Pass %d - Merged objects: %dnn", pass, merges);
}
}
(OptimizeAfterMerge method under test)
The optimization takes multiple passes as the equality of some objects can only be recognized after duplicates they reference have been merged.
The following helper methods and classes collect the complex objects of a PDF and the references to each of them:
Map<COSBase, Collection<Reference>> findComplexObjects(PDDocument pdDocument) {
COSDictionary catalogDictionary = pdDocument.getDocumentCatalog().getCOSObject();
Map<COSBase, Collection<Reference>> incomingReferences = new HashMap<>();
incomingReferences.put(catalogDictionary, new ArrayList<>());
Set<COSBase> lastPass = Collections.<COSBase>singleton(catalogDictionary);
Set<COSBase> thisPass = new HashSet<>();
while(!lastPass.isEmpty()) {
for (COSBase object : lastPass) {
if (object instanceof COSArray) {
COSArray array = (COSArray) object;
for (int i = 0; i < array.size(); i++) {
addTarget(new ArrayReference(array, i), incomingReferences, thisPass);
}
} else if (object instanceof COSDictionary) {
COSDictionary dictionary = (COSDictionary) object;
for (COSName key : dictionary.keySet()) {
addTarget(new DictionaryReference(dictionary, key), incomingReferences, thisPass);
}
}
}
lastPass = thisPass;
thisPass = new HashSet<>();
}
return incomingReferences;
}
void addTarget(Reference reference, Map<COSBase, Collection<Reference>> incomingReferences, Set<COSBase> thisPass) {
COSBase object = reference.getTo();
if (object instanceof COSArray || object instanceof COSDictionary) {
Collection<Reference> incoming = incomingReferences.get(object);
if (incoming == null) {
incoming = new ArrayList<>();
incomingReferences.put(object, incoming);
thisPass.add(object);
}
incoming.add(reference);
}
}
(OptimizeAfterMerge helper methods findComplexObjects
and addTarget
)
interface Reference {
public COSBase getFrom();
public COSBase getTo();
public void setTo(COSBase to);
}
static class ArrayReference implements Reference {
public ArrayReference(COSArray array, int index) {
this.from = array;
this.index = index;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.get(index));
}
@Override
public void setTo(COSBase to) {
from.set(index, to);
}
final COSArray from;
final int index;
}
static class DictionaryReference implements Reference {
public DictionaryReference(COSDictionary dictionary, COSName key) {
this.from = dictionary;
this.key = key;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.getDictionaryObject(key));
}
@Override
public void setTo(COSBase to) {
from.setItem(key, to);
}
final COSDictionary from;
final COSName key;
}
(OptimizeAfterMerge helper interface Reference
with implementations ArrayReference
and DictionaryReference
)
And the following helper methods and classes finally identify and merge duplicates:
int mergeDuplicates(Map<COSBase, Collection<Reference>> complexObjects) throws IOException {
List<HashOfCOSBase> hashes = new ArrayList<>(complexObjects.size());
for (COSBase object : complexObjects.keySet()) {
hashes.add(new HashOfCOSBase(object));
}
Collections.sort(hashes);
int removedDuplicates = 0;
if (!hashes.isEmpty()) {
int runStart = 0;
int runHash = hashes.get(0).hash;
for (int i = 1; i < hashes.size(); i++) {
int hash = hashes.get(i).hash;
if (hash != runHash) {
int runSize = i - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, i));
}
runHash = hash;
runStart = i;
}
}
int runSize = hashes.size() - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, hashes.size()));
}
}
return removedDuplicates;
}
int mergeRun(Map<COSBase, Collection<Reference>> complexObjects, List<HashOfCOSBase> run) {
int removedDuplicates = 0;
List<List<COSBase>> duplicateSets = new ArrayList<>();
for (HashOfCOSBase entry : run) {
COSBase element = entry.object;
for (List<COSBase> duplicateSet : duplicateSets) {
if (equals(element, duplicateSet.get(0))) {
duplicateSet.add(element);
element = null;
break;
}
}
if (element != null) {
List<COSBase> duplicateSet = new ArrayList<>();
duplicateSet.add(element);
duplicateSets.add(duplicateSet);
}
}
System.out.printf("Identified %d set(s) of identical objects in run.n", duplicateSets.size());
for (List<COSBase> duplicateSet : duplicateSets) {
if (duplicateSet.size() > 1) {
COSBase surviver = duplicateSet.remove(0);
Collection<Reference> surviverReferences = complexObjects.get(surviver);
for (COSBase object : duplicateSet) {
Collection<Reference> references = complexObjects.get(object);
for (Reference reference : references) {
reference.setTo(surviver);
surviverReferences.add(reference);
}
complexObjects.remove(object);
removedDuplicates++;
}
surviver.setDirect(false);
}
}
return removedDuplicates;
}
boolean equals(COSBase a, COSBase b) {
if (a instanceof COSArray) {
if (b instanceof COSArray) {
COSArray aArray = (COSArray) a;
COSArray bArray = (COSArray) b;
if (aArray.size() == bArray.size()) {
for (int i=0; i < aArray.size(); i++) {
if (!resolve(aArray.get(i)).equals(resolve(bArray.get(i))))
return false;
}
return true;
}
}
} else if (a instanceof COSDictionary) {
if (b instanceof COSDictionary) {
COSDictionary aDict = (COSDictionary) a;
COSDictionary bDict = (COSDictionary) b;
Set<COSName> keys = aDict.keySet();
if (keys.equals(bDict.keySet())) {
for (COSName key : keys) {
if (!resolve(aDict.getItem(key)).equals(bDict.getItem(key)))
return false;
}
// In case of COSStreams we strictly speaking should
// also compare the stream contents here. But apparently
// their hashes coincide well enough for the original
// hashing equality, so let's just assume...
return true;
}
}
}
return false;
}
static COSBase resolve(COSBase object) {
while (object instanceof COSObject)
object = ((COSObject)object).getObject();
return object;
}
(OptimizeAfterMerge helper methods mergeDuplicates
, mergeRun
, equals
, and resolve
)
static class HashOfCOSBase implements Comparable<HashOfCOSBase> {
public HashOfCOSBase(COSBase object) throws IOException {
this.object = object;
this.hash = calculateHash(object);
}
int calculateHash(COSBase object) throws IOException {
if (object instanceof COSArray) {
int result = 1;
for (COSBase member : (COSArray)object)
result = 31 * result + member.hashCode();
return result;
} else if (object instanceof COSDictionary) {
int result = 3;
for (Map.Entry<COSName, COSBase> entry : ((COSDictionary)object).entrySet())
result += entry.hashCode();
if (object instanceof COSStream) {
try ( InputStream data = ((COSStream)object).createRawInputStream() ) {
MessageDigest md = MessageDigest.getInstance("MD5");
byte buffer = new byte[8192];
int bytesRead = 0;
while((bytesRead = data.read(buffer)) >= 0)
md.update(buffer, 0, bytesRead);
result = 31 * result + Arrays.hashCode(md.digest());
} catch (NoSuchAlgorithmException e) {
throw new IOException(e);
}
}
return result;
} else {
throw new IllegalArgumentException(String.format("Unknown complex COSBase type %s", object.getClass().getName()));
}
}
final COSBase object;
final int hash;
@Override
public int compareTo(HashOfCOSBase o) {
int result = Integer.compare(hash, o.hash);
if (result == 0)
result = Integer.compare(hashCode(), o.hashCode());
return result;
}
}
(OptimizeAfterMerge helper class HashOfCOSBase
)
Applying the code to the OP's example document
The OP's example document is about 6.5 MB in size. Applying the above code like this
PDDocument pdDocument = PDDocument.load(SOURCE);
optimize(pdDocument);
pdDocument.save(RESULT);
results in a PDF less than 700 KB in size, and it appears to be complete.
(If something's missing, please tell, I'll try and fix that.)
Words of warning
On one hand this optimizer will not recognize all identical duplicates. In particular in case of circular references duplicate circles of objects won't be recognized because the code only recognizes duplicates if their contents are identical which usually does not happen in duplicate object circles.
On the other hand this optimizer might already be overly eager in some cases because some duplicates might be needed as separate objects for PDF viewers to accept each instance as an individual entity.
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
add a comment |
The code in this answer is an attempt to optimize documents like the OP's example document, i.e. documents containing copies of exactly identical objects, in the case at hand completely identical, fully embedded fonts. It does not merge merely nearly identical objects, e.g. multiple subsets of the same font into one single union subset.
In the course of comments to the questions it became clear that the duplicate fonts in the OP's PDF indeed were identical full copies of a source font file. To merge such duplicate objects, one has to collect the complex objects (arrays, dictionaries, streams) of a document, compare them with each other, and then merge duplicates.
As actual pairwise comparison of all complex objects of a document can take too much time in case of large documents, the following code calculates a hash of these objects and only compares objects with identical hash.
To merge duplicates, the code selects one of the duplicates and replaces all references to any of the other duplicates with a reference to the chosen one, removing the other duplicates from the document object pool. To do this more effectively, the code initially not only collects all complex objects but also all references to each of them.
The optimization code
This is the method to call to optimize a PDDocument
:
public void optimize(PDDocument pdDocument) throws IOException {
Map<COSBase, Collection<Reference>> complexObjects = findComplexObjects(pdDocument);
for (int pass = 0; ; pass++) {
int merges = mergeDuplicates(complexObjects);
if (merges <= 0) {
System.out.printf("Pass %d - No merged objectsnn", pass);
break;
}
System.out.printf("Pass %d - Merged objects: %dnn", pass, merges);
}
}
(OptimizeAfterMerge method under test)
The optimization takes multiple passes as the equality of some objects can only be recognized after duplicates they reference have been merged.
The following helper methods and classes collect the complex objects of a PDF and the references to each of them:
Map<COSBase, Collection<Reference>> findComplexObjects(PDDocument pdDocument) {
COSDictionary catalogDictionary = pdDocument.getDocumentCatalog().getCOSObject();
Map<COSBase, Collection<Reference>> incomingReferences = new HashMap<>();
incomingReferences.put(catalogDictionary, new ArrayList<>());
Set<COSBase> lastPass = Collections.<COSBase>singleton(catalogDictionary);
Set<COSBase> thisPass = new HashSet<>();
while(!lastPass.isEmpty()) {
for (COSBase object : lastPass) {
if (object instanceof COSArray) {
COSArray array = (COSArray) object;
for (int i = 0; i < array.size(); i++) {
addTarget(new ArrayReference(array, i), incomingReferences, thisPass);
}
} else if (object instanceof COSDictionary) {
COSDictionary dictionary = (COSDictionary) object;
for (COSName key : dictionary.keySet()) {
addTarget(new DictionaryReference(dictionary, key), incomingReferences, thisPass);
}
}
}
lastPass = thisPass;
thisPass = new HashSet<>();
}
return incomingReferences;
}
void addTarget(Reference reference, Map<COSBase, Collection<Reference>> incomingReferences, Set<COSBase> thisPass) {
COSBase object = reference.getTo();
if (object instanceof COSArray || object instanceof COSDictionary) {
Collection<Reference> incoming = incomingReferences.get(object);
if (incoming == null) {
incoming = new ArrayList<>();
incomingReferences.put(object, incoming);
thisPass.add(object);
}
incoming.add(reference);
}
}
(OptimizeAfterMerge helper methods findComplexObjects
and addTarget
)
interface Reference {
public COSBase getFrom();
public COSBase getTo();
public void setTo(COSBase to);
}
static class ArrayReference implements Reference {
public ArrayReference(COSArray array, int index) {
this.from = array;
this.index = index;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.get(index));
}
@Override
public void setTo(COSBase to) {
from.set(index, to);
}
final COSArray from;
final int index;
}
static class DictionaryReference implements Reference {
public DictionaryReference(COSDictionary dictionary, COSName key) {
this.from = dictionary;
this.key = key;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.getDictionaryObject(key));
}
@Override
public void setTo(COSBase to) {
from.setItem(key, to);
}
final COSDictionary from;
final COSName key;
}
(OptimizeAfterMerge helper interface Reference
with implementations ArrayReference
and DictionaryReference
)
And the following helper methods and classes finally identify and merge duplicates:
int mergeDuplicates(Map<COSBase, Collection<Reference>> complexObjects) throws IOException {
List<HashOfCOSBase> hashes = new ArrayList<>(complexObjects.size());
for (COSBase object : complexObjects.keySet()) {
hashes.add(new HashOfCOSBase(object));
}
Collections.sort(hashes);
int removedDuplicates = 0;
if (!hashes.isEmpty()) {
int runStart = 0;
int runHash = hashes.get(0).hash;
for (int i = 1; i < hashes.size(); i++) {
int hash = hashes.get(i).hash;
if (hash != runHash) {
int runSize = i - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, i));
}
runHash = hash;
runStart = i;
}
}
int runSize = hashes.size() - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, hashes.size()));
}
}
return removedDuplicates;
}
int mergeRun(Map<COSBase, Collection<Reference>> complexObjects, List<HashOfCOSBase> run) {
int removedDuplicates = 0;
List<List<COSBase>> duplicateSets = new ArrayList<>();
for (HashOfCOSBase entry : run) {
COSBase element = entry.object;
for (List<COSBase> duplicateSet : duplicateSets) {
if (equals(element, duplicateSet.get(0))) {
duplicateSet.add(element);
element = null;
break;
}
}
if (element != null) {
List<COSBase> duplicateSet = new ArrayList<>();
duplicateSet.add(element);
duplicateSets.add(duplicateSet);
}
}
System.out.printf("Identified %d set(s) of identical objects in run.n", duplicateSets.size());
for (List<COSBase> duplicateSet : duplicateSets) {
if (duplicateSet.size() > 1) {
COSBase surviver = duplicateSet.remove(0);
Collection<Reference> surviverReferences = complexObjects.get(surviver);
for (COSBase object : duplicateSet) {
Collection<Reference> references = complexObjects.get(object);
for (Reference reference : references) {
reference.setTo(surviver);
surviverReferences.add(reference);
}
complexObjects.remove(object);
removedDuplicates++;
}
surviver.setDirect(false);
}
}
return removedDuplicates;
}
boolean equals(COSBase a, COSBase b) {
if (a instanceof COSArray) {
if (b instanceof COSArray) {
COSArray aArray = (COSArray) a;
COSArray bArray = (COSArray) b;
if (aArray.size() == bArray.size()) {
for (int i=0; i < aArray.size(); i++) {
if (!resolve(aArray.get(i)).equals(resolve(bArray.get(i))))
return false;
}
return true;
}
}
} else if (a instanceof COSDictionary) {
if (b instanceof COSDictionary) {
COSDictionary aDict = (COSDictionary) a;
COSDictionary bDict = (COSDictionary) b;
Set<COSName> keys = aDict.keySet();
if (keys.equals(bDict.keySet())) {
for (COSName key : keys) {
if (!resolve(aDict.getItem(key)).equals(bDict.getItem(key)))
return false;
}
// In case of COSStreams we strictly speaking should
// also compare the stream contents here. But apparently
// their hashes coincide well enough for the original
// hashing equality, so let's just assume...
return true;
}
}
}
return false;
}
static COSBase resolve(COSBase object) {
while (object instanceof COSObject)
object = ((COSObject)object).getObject();
return object;
}
(OptimizeAfterMerge helper methods mergeDuplicates
, mergeRun
, equals
, and resolve
)
static class HashOfCOSBase implements Comparable<HashOfCOSBase> {
public HashOfCOSBase(COSBase object) throws IOException {
this.object = object;
this.hash = calculateHash(object);
}
int calculateHash(COSBase object) throws IOException {
if (object instanceof COSArray) {
int result = 1;
for (COSBase member : (COSArray)object)
result = 31 * result + member.hashCode();
return result;
} else if (object instanceof COSDictionary) {
int result = 3;
for (Map.Entry<COSName, COSBase> entry : ((COSDictionary)object).entrySet())
result += entry.hashCode();
if (object instanceof COSStream) {
try ( InputStream data = ((COSStream)object).createRawInputStream() ) {
MessageDigest md = MessageDigest.getInstance("MD5");
byte buffer = new byte[8192];
int bytesRead = 0;
while((bytesRead = data.read(buffer)) >= 0)
md.update(buffer, 0, bytesRead);
result = 31 * result + Arrays.hashCode(md.digest());
} catch (NoSuchAlgorithmException e) {
throw new IOException(e);
}
}
return result;
} else {
throw new IllegalArgumentException(String.format("Unknown complex COSBase type %s", object.getClass().getName()));
}
}
final COSBase object;
final int hash;
@Override
public int compareTo(HashOfCOSBase o) {
int result = Integer.compare(hash, o.hash);
if (result == 0)
result = Integer.compare(hashCode(), o.hashCode());
return result;
}
}
(OptimizeAfterMerge helper class HashOfCOSBase
)
Applying the code to the OP's example document
The OP's example document is about 6.5 MB in size. Applying the above code like this
PDDocument pdDocument = PDDocument.load(SOURCE);
optimize(pdDocument);
pdDocument.save(RESULT);
results in a PDF less than 700 KB in size, and it appears to be complete.
(If something's missing, please tell, I'll try and fix that.)
Words of warning
On one hand this optimizer will not recognize all identical duplicates. In particular in case of circular references duplicate circles of objects won't be recognized because the code only recognizes duplicates if their contents are identical which usually does not happen in duplicate object circles.
On the other hand this optimizer might already be overly eager in some cases because some duplicates might be needed as separate objects for PDF viewers to accept each instance as an individual entity.
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
add a comment |
The code in this answer is an attempt to optimize documents like the OP's example document, i.e. documents containing copies of exactly identical objects, in the case at hand completely identical, fully embedded fonts. It does not merge merely nearly identical objects, e.g. multiple subsets of the same font into one single union subset.
In the course of comments to the questions it became clear that the duplicate fonts in the OP's PDF indeed were identical full copies of a source font file. To merge such duplicate objects, one has to collect the complex objects (arrays, dictionaries, streams) of a document, compare them with each other, and then merge duplicates.
As actual pairwise comparison of all complex objects of a document can take too much time in case of large documents, the following code calculates a hash of these objects and only compares objects with identical hash.
To merge duplicates, the code selects one of the duplicates and replaces all references to any of the other duplicates with a reference to the chosen one, removing the other duplicates from the document object pool. To do this more effectively, the code initially not only collects all complex objects but also all references to each of them.
The optimization code
This is the method to call to optimize a PDDocument
:
public void optimize(PDDocument pdDocument) throws IOException {
Map<COSBase, Collection<Reference>> complexObjects = findComplexObjects(pdDocument);
for (int pass = 0; ; pass++) {
int merges = mergeDuplicates(complexObjects);
if (merges <= 0) {
System.out.printf("Pass %d - No merged objectsnn", pass);
break;
}
System.out.printf("Pass %d - Merged objects: %dnn", pass, merges);
}
}
(OptimizeAfterMerge method under test)
The optimization takes multiple passes as the equality of some objects can only be recognized after duplicates they reference have been merged.
The following helper methods and classes collect the complex objects of a PDF and the references to each of them:
Map<COSBase, Collection<Reference>> findComplexObjects(PDDocument pdDocument) {
COSDictionary catalogDictionary = pdDocument.getDocumentCatalog().getCOSObject();
Map<COSBase, Collection<Reference>> incomingReferences = new HashMap<>();
incomingReferences.put(catalogDictionary, new ArrayList<>());
Set<COSBase> lastPass = Collections.<COSBase>singleton(catalogDictionary);
Set<COSBase> thisPass = new HashSet<>();
while(!lastPass.isEmpty()) {
for (COSBase object : lastPass) {
if (object instanceof COSArray) {
COSArray array = (COSArray) object;
for (int i = 0; i < array.size(); i++) {
addTarget(new ArrayReference(array, i), incomingReferences, thisPass);
}
} else if (object instanceof COSDictionary) {
COSDictionary dictionary = (COSDictionary) object;
for (COSName key : dictionary.keySet()) {
addTarget(new DictionaryReference(dictionary, key), incomingReferences, thisPass);
}
}
}
lastPass = thisPass;
thisPass = new HashSet<>();
}
return incomingReferences;
}
void addTarget(Reference reference, Map<COSBase, Collection<Reference>> incomingReferences, Set<COSBase> thisPass) {
COSBase object = reference.getTo();
if (object instanceof COSArray || object instanceof COSDictionary) {
Collection<Reference> incoming = incomingReferences.get(object);
if (incoming == null) {
incoming = new ArrayList<>();
incomingReferences.put(object, incoming);
thisPass.add(object);
}
incoming.add(reference);
}
}
(OptimizeAfterMerge helper methods findComplexObjects
and addTarget
)
interface Reference {
public COSBase getFrom();
public COSBase getTo();
public void setTo(COSBase to);
}
static class ArrayReference implements Reference {
public ArrayReference(COSArray array, int index) {
this.from = array;
this.index = index;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.get(index));
}
@Override
public void setTo(COSBase to) {
from.set(index, to);
}
final COSArray from;
final int index;
}
static class DictionaryReference implements Reference {
public DictionaryReference(COSDictionary dictionary, COSName key) {
this.from = dictionary;
this.key = key;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.getDictionaryObject(key));
}
@Override
public void setTo(COSBase to) {
from.setItem(key, to);
}
final COSDictionary from;
final COSName key;
}
(OptimizeAfterMerge helper interface Reference
with implementations ArrayReference
and DictionaryReference
)
And the following helper methods and classes finally identify and merge duplicates:
int mergeDuplicates(Map<COSBase, Collection<Reference>> complexObjects) throws IOException {
List<HashOfCOSBase> hashes = new ArrayList<>(complexObjects.size());
for (COSBase object : complexObjects.keySet()) {
hashes.add(new HashOfCOSBase(object));
}
Collections.sort(hashes);
int removedDuplicates = 0;
if (!hashes.isEmpty()) {
int runStart = 0;
int runHash = hashes.get(0).hash;
for (int i = 1; i < hashes.size(); i++) {
int hash = hashes.get(i).hash;
if (hash != runHash) {
int runSize = i - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, i));
}
runHash = hash;
runStart = i;
}
}
int runSize = hashes.size() - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, hashes.size()));
}
}
return removedDuplicates;
}
int mergeRun(Map<COSBase, Collection<Reference>> complexObjects, List<HashOfCOSBase> run) {
int removedDuplicates = 0;
List<List<COSBase>> duplicateSets = new ArrayList<>();
for (HashOfCOSBase entry : run) {
COSBase element = entry.object;
for (List<COSBase> duplicateSet : duplicateSets) {
if (equals(element, duplicateSet.get(0))) {
duplicateSet.add(element);
element = null;
break;
}
}
if (element != null) {
List<COSBase> duplicateSet = new ArrayList<>();
duplicateSet.add(element);
duplicateSets.add(duplicateSet);
}
}
System.out.printf("Identified %d set(s) of identical objects in run.n", duplicateSets.size());
for (List<COSBase> duplicateSet : duplicateSets) {
if (duplicateSet.size() > 1) {
COSBase surviver = duplicateSet.remove(0);
Collection<Reference> surviverReferences = complexObjects.get(surviver);
for (COSBase object : duplicateSet) {
Collection<Reference> references = complexObjects.get(object);
for (Reference reference : references) {
reference.setTo(surviver);
surviverReferences.add(reference);
}
complexObjects.remove(object);
removedDuplicates++;
}
surviver.setDirect(false);
}
}
return removedDuplicates;
}
boolean equals(COSBase a, COSBase b) {
if (a instanceof COSArray) {
if (b instanceof COSArray) {
COSArray aArray = (COSArray) a;
COSArray bArray = (COSArray) b;
if (aArray.size() == bArray.size()) {
for (int i=0; i < aArray.size(); i++) {
if (!resolve(aArray.get(i)).equals(resolve(bArray.get(i))))
return false;
}
return true;
}
}
} else if (a instanceof COSDictionary) {
if (b instanceof COSDictionary) {
COSDictionary aDict = (COSDictionary) a;
COSDictionary bDict = (COSDictionary) b;
Set<COSName> keys = aDict.keySet();
if (keys.equals(bDict.keySet())) {
for (COSName key : keys) {
if (!resolve(aDict.getItem(key)).equals(bDict.getItem(key)))
return false;
}
// In case of COSStreams we strictly speaking should
// also compare the stream contents here. But apparently
// their hashes coincide well enough for the original
// hashing equality, so let's just assume...
return true;
}
}
}
return false;
}
static COSBase resolve(COSBase object) {
while (object instanceof COSObject)
object = ((COSObject)object).getObject();
return object;
}
(OptimizeAfterMerge helper methods mergeDuplicates
, mergeRun
, equals
, and resolve
)
static class HashOfCOSBase implements Comparable<HashOfCOSBase> {
public HashOfCOSBase(COSBase object) throws IOException {
this.object = object;
this.hash = calculateHash(object);
}
int calculateHash(COSBase object) throws IOException {
if (object instanceof COSArray) {
int result = 1;
for (COSBase member : (COSArray)object)
result = 31 * result + member.hashCode();
return result;
} else if (object instanceof COSDictionary) {
int result = 3;
for (Map.Entry<COSName, COSBase> entry : ((COSDictionary)object).entrySet())
result += entry.hashCode();
if (object instanceof COSStream) {
try ( InputStream data = ((COSStream)object).createRawInputStream() ) {
MessageDigest md = MessageDigest.getInstance("MD5");
byte buffer = new byte[8192];
int bytesRead = 0;
while((bytesRead = data.read(buffer)) >= 0)
md.update(buffer, 0, bytesRead);
result = 31 * result + Arrays.hashCode(md.digest());
} catch (NoSuchAlgorithmException e) {
throw new IOException(e);
}
}
return result;
} else {
throw new IllegalArgumentException(String.format("Unknown complex COSBase type %s", object.getClass().getName()));
}
}
final COSBase object;
final int hash;
@Override
public int compareTo(HashOfCOSBase o) {
int result = Integer.compare(hash, o.hash);
if (result == 0)
result = Integer.compare(hashCode(), o.hashCode());
return result;
}
}
(OptimizeAfterMerge helper class HashOfCOSBase
)
Applying the code to the OP's example document
The OP's example document is about 6.5 MB in size. Applying the above code like this
PDDocument pdDocument = PDDocument.load(SOURCE);
optimize(pdDocument);
pdDocument.save(RESULT);
results in a PDF less than 700 KB in size, and it appears to be complete.
(If something's missing, please tell, I'll try and fix that.)
Words of warning
On one hand this optimizer will not recognize all identical duplicates. In particular in case of circular references duplicate circles of objects won't be recognized because the code only recognizes duplicates if their contents are identical which usually does not happen in duplicate object circles.
On the other hand this optimizer might already be overly eager in some cases because some duplicates might be needed as separate objects for PDF viewers to accept each instance as an individual entity.
The code in this answer is an attempt to optimize documents like the OP's example document, i.e. documents containing copies of exactly identical objects, in the case at hand completely identical, fully embedded fonts. It does not merge merely nearly identical objects, e.g. multiple subsets of the same font into one single union subset.
In the course of comments to the questions it became clear that the duplicate fonts in the OP's PDF indeed were identical full copies of a source font file. To merge such duplicate objects, one has to collect the complex objects (arrays, dictionaries, streams) of a document, compare them with each other, and then merge duplicates.
As actual pairwise comparison of all complex objects of a document can take too much time in case of large documents, the following code calculates a hash of these objects and only compares objects with identical hash.
To merge duplicates, the code selects one of the duplicates and replaces all references to any of the other duplicates with a reference to the chosen one, removing the other duplicates from the document object pool. To do this more effectively, the code initially not only collects all complex objects but also all references to each of them.
The optimization code
This is the method to call to optimize a PDDocument
:
public void optimize(PDDocument pdDocument) throws IOException {
Map<COSBase, Collection<Reference>> complexObjects = findComplexObjects(pdDocument);
for (int pass = 0; ; pass++) {
int merges = mergeDuplicates(complexObjects);
if (merges <= 0) {
System.out.printf("Pass %d - No merged objectsnn", pass);
break;
}
System.out.printf("Pass %d - Merged objects: %dnn", pass, merges);
}
}
(OptimizeAfterMerge method under test)
The optimization takes multiple passes as the equality of some objects can only be recognized after duplicates they reference have been merged.
The following helper methods and classes collect the complex objects of a PDF and the references to each of them:
Map<COSBase, Collection<Reference>> findComplexObjects(PDDocument pdDocument) {
COSDictionary catalogDictionary = pdDocument.getDocumentCatalog().getCOSObject();
Map<COSBase, Collection<Reference>> incomingReferences = new HashMap<>();
incomingReferences.put(catalogDictionary, new ArrayList<>());
Set<COSBase> lastPass = Collections.<COSBase>singleton(catalogDictionary);
Set<COSBase> thisPass = new HashSet<>();
while(!lastPass.isEmpty()) {
for (COSBase object : lastPass) {
if (object instanceof COSArray) {
COSArray array = (COSArray) object;
for (int i = 0; i < array.size(); i++) {
addTarget(new ArrayReference(array, i), incomingReferences, thisPass);
}
} else if (object instanceof COSDictionary) {
COSDictionary dictionary = (COSDictionary) object;
for (COSName key : dictionary.keySet()) {
addTarget(new DictionaryReference(dictionary, key), incomingReferences, thisPass);
}
}
}
lastPass = thisPass;
thisPass = new HashSet<>();
}
return incomingReferences;
}
void addTarget(Reference reference, Map<COSBase, Collection<Reference>> incomingReferences, Set<COSBase> thisPass) {
COSBase object = reference.getTo();
if (object instanceof COSArray || object instanceof COSDictionary) {
Collection<Reference> incoming = incomingReferences.get(object);
if (incoming == null) {
incoming = new ArrayList<>();
incomingReferences.put(object, incoming);
thisPass.add(object);
}
incoming.add(reference);
}
}
(OptimizeAfterMerge helper methods findComplexObjects
and addTarget
)
interface Reference {
public COSBase getFrom();
public COSBase getTo();
public void setTo(COSBase to);
}
static class ArrayReference implements Reference {
public ArrayReference(COSArray array, int index) {
this.from = array;
this.index = index;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.get(index));
}
@Override
public void setTo(COSBase to) {
from.set(index, to);
}
final COSArray from;
final int index;
}
static class DictionaryReference implements Reference {
public DictionaryReference(COSDictionary dictionary, COSName key) {
this.from = dictionary;
this.key = key;
}
@Override
public COSBase getFrom() {
return from;
}
@Override
public COSBase getTo() {
return resolve(from.getDictionaryObject(key));
}
@Override
public void setTo(COSBase to) {
from.setItem(key, to);
}
final COSDictionary from;
final COSName key;
}
(OptimizeAfterMerge helper interface Reference
with implementations ArrayReference
and DictionaryReference
)
And the following helper methods and classes finally identify and merge duplicates:
int mergeDuplicates(Map<COSBase, Collection<Reference>> complexObjects) throws IOException {
List<HashOfCOSBase> hashes = new ArrayList<>(complexObjects.size());
for (COSBase object : complexObjects.keySet()) {
hashes.add(new HashOfCOSBase(object));
}
Collections.sort(hashes);
int removedDuplicates = 0;
if (!hashes.isEmpty()) {
int runStart = 0;
int runHash = hashes.get(0).hash;
for (int i = 1; i < hashes.size(); i++) {
int hash = hashes.get(i).hash;
if (hash != runHash) {
int runSize = i - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, i));
}
runHash = hash;
runStart = i;
}
}
int runSize = hashes.size() - runStart;
if (runSize != 1) {
System.out.printf("Equal hash %d for %d elements.n", runHash, runSize);
removedDuplicates += mergeRun(complexObjects, hashes.subList(runStart, hashes.size()));
}
}
return removedDuplicates;
}
int mergeRun(Map<COSBase, Collection<Reference>> complexObjects, List<HashOfCOSBase> run) {
int removedDuplicates = 0;
List<List<COSBase>> duplicateSets = new ArrayList<>();
for (HashOfCOSBase entry : run) {
COSBase element = entry.object;
for (List<COSBase> duplicateSet : duplicateSets) {
if (equals(element, duplicateSet.get(0))) {
duplicateSet.add(element);
element = null;
break;
}
}
if (element != null) {
List<COSBase> duplicateSet = new ArrayList<>();
duplicateSet.add(element);
duplicateSets.add(duplicateSet);
}
}
System.out.printf("Identified %d set(s) of identical objects in run.n", duplicateSets.size());
for (List<COSBase> duplicateSet : duplicateSets) {
if (duplicateSet.size() > 1) {
COSBase surviver = duplicateSet.remove(0);
Collection<Reference> surviverReferences = complexObjects.get(surviver);
for (COSBase object : duplicateSet) {
Collection<Reference> references = complexObjects.get(object);
for (Reference reference : references) {
reference.setTo(surviver);
surviverReferences.add(reference);
}
complexObjects.remove(object);
removedDuplicates++;
}
surviver.setDirect(false);
}
}
return removedDuplicates;
}
boolean equals(COSBase a, COSBase b) {
if (a instanceof COSArray) {
if (b instanceof COSArray) {
COSArray aArray = (COSArray) a;
COSArray bArray = (COSArray) b;
if (aArray.size() == bArray.size()) {
for (int i=0; i < aArray.size(); i++) {
if (!resolve(aArray.get(i)).equals(resolve(bArray.get(i))))
return false;
}
return true;
}
}
} else if (a instanceof COSDictionary) {
if (b instanceof COSDictionary) {
COSDictionary aDict = (COSDictionary) a;
COSDictionary bDict = (COSDictionary) b;
Set<COSName> keys = aDict.keySet();
if (keys.equals(bDict.keySet())) {
for (COSName key : keys) {
if (!resolve(aDict.getItem(key)).equals(bDict.getItem(key)))
return false;
}
// In case of COSStreams we strictly speaking should
// also compare the stream contents here. But apparently
// their hashes coincide well enough for the original
// hashing equality, so let's just assume...
return true;
}
}
}
return false;
}
static COSBase resolve(COSBase object) {
while (object instanceof COSObject)
object = ((COSObject)object).getObject();
return object;
}
(OptimizeAfterMerge helper methods mergeDuplicates
, mergeRun
, equals
, and resolve
)
static class HashOfCOSBase implements Comparable<HashOfCOSBase> {
public HashOfCOSBase(COSBase object) throws IOException {
this.object = object;
this.hash = calculateHash(object);
}
int calculateHash(COSBase object) throws IOException {
if (object instanceof COSArray) {
int result = 1;
for (COSBase member : (COSArray)object)
result = 31 * result + member.hashCode();
return result;
} else if (object instanceof COSDictionary) {
int result = 3;
for (Map.Entry<COSName, COSBase> entry : ((COSDictionary)object).entrySet())
result += entry.hashCode();
if (object instanceof COSStream) {
try ( InputStream data = ((COSStream)object).createRawInputStream() ) {
MessageDigest md = MessageDigest.getInstance("MD5");
byte buffer = new byte[8192];
int bytesRead = 0;
while((bytesRead = data.read(buffer)) >= 0)
md.update(buffer, 0, bytesRead);
result = 31 * result + Arrays.hashCode(md.digest());
} catch (NoSuchAlgorithmException e) {
throw new IOException(e);
}
}
return result;
} else {
throw new IllegalArgumentException(String.format("Unknown complex COSBase type %s", object.getClass().getName()));
}
}
final COSBase object;
final int hash;
@Override
public int compareTo(HashOfCOSBase o) {
int result = Integer.compare(hash, o.hash);
if (result == 0)
result = Integer.compare(hashCode(), o.hashCode());
return result;
}
}
(OptimizeAfterMerge helper class HashOfCOSBase
)
Applying the code to the OP's example document
The OP's example document is about 6.5 MB in size. Applying the above code like this
PDDocument pdDocument = PDDocument.load(SOURCE);
optimize(pdDocument);
pdDocument.save(RESULT);
results in a PDF less than 700 KB in size, and it appears to be complete.
(If something's missing, please tell, I'll try and fix that.)
Words of warning
On one hand this optimizer will not recognize all identical duplicates. In particular in case of circular references duplicate circles of objects won't be recognized because the code only recognizes duplicates if their contents are identical which usually does not happen in duplicate object circles.
On the other hand this optimizer might already be overly eager in some cases because some duplicates might be needed as separate objects for PDF viewers to accept each instance as an individual entity.
answered Nov 29 '18 at 17:18
mklmkl
53.4k1166145
53.4k1166145
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
add a comment |
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
Thank you, the code seems do do the job, too. As I was forced to provide a solution very quickly last week I chose to adopt the solution of schowave, as his view lines solution worked for me and my PDFs. BTW: In the meantime I found a working solution usint ITEXT 7, I'm going post a code example tomorrow.
– hab
Dec 5 '18 at 20:14
add a comment |
When debugging in the file, I recognized that the font files for the same fonts were referenced several times. So replacing the actual font file item in the dictionary with an already viewed font file item, the reference was removed and compression could be done. By that, I was able to shrink a 30 MB File to around 6 MB.
File file = new File("test.pdf");
PDDocument doc = PDDocument.load(file);
Map<String, COSBase> fontFileCache = new HashMap<>();
for (int pageNumber = 0; pageNumber < doc.getNumberOfPages(); pageNumber++) {
final PDPage page = doc.getPage(pageNumber);
COSDictionary pageDictionary = (COSDictionary) page.getResources().getCOSObject().getDictionaryObject(COSName.FONT);
for (COSName currentFont : pageDictionary.keySet()) {
COSDictionary fontDictionary = (COSDictionary) pageDictionary.getDictionaryObject(currentFont);
for (COSName actualFont : fontDictionary.keySet()) {
COSBase actualFontDictionaryObject = fontDictionary.getDictionaryObject(actualFont);
if (actualFontDictionaryObject instanceof COSDictionary) {
COSDictionary fontFile = (COSDictionary) actualFontDictionaryObject;
if (fontFile.getItem(COSName.FONT_NAME) instanceof COSName) {
COSName fontName = (COSName) fontFile.getItem(COSName.FONT_NAME);
fontFileCache.computeIfAbsent(fontName.getName(), key -> fontFile.getItem(COSName.FONT_FILE2));
fontFile.setItem(COSName.FONT_FILE2, fontFileCache.get(fontName.getName()));
}
}
}
}
}
final ByteArrayOutputStream baos = new ByteArrayOutputStream();
doc.save(baos);
final File compressed = new File("test_compressed.pdf");
baos.writeTo(new FileOutputStream(compressed));
Maybe this is not the most elegant way to do that, but it works and keeps the PDF/A-1b compatibility.
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
2
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
add a comment |
When debugging in the file, I recognized that the font files for the same fonts were referenced several times. So replacing the actual font file item in the dictionary with an already viewed font file item, the reference was removed and compression could be done. By that, I was able to shrink a 30 MB File to around 6 MB.
File file = new File("test.pdf");
PDDocument doc = PDDocument.load(file);
Map<String, COSBase> fontFileCache = new HashMap<>();
for (int pageNumber = 0; pageNumber < doc.getNumberOfPages(); pageNumber++) {
final PDPage page = doc.getPage(pageNumber);
COSDictionary pageDictionary = (COSDictionary) page.getResources().getCOSObject().getDictionaryObject(COSName.FONT);
for (COSName currentFont : pageDictionary.keySet()) {
COSDictionary fontDictionary = (COSDictionary) pageDictionary.getDictionaryObject(currentFont);
for (COSName actualFont : fontDictionary.keySet()) {
COSBase actualFontDictionaryObject = fontDictionary.getDictionaryObject(actualFont);
if (actualFontDictionaryObject instanceof COSDictionary) {
COSDictionary fontFile = (COSDictionary) actualFontDictionaryObject;
if (fontFile.getItem(COSName.FONT_NAME) instanceof COSName) {
COSName fontName = (COSName) fontFile.getItem(COSName.FONT_NAME);
fontFileCache.computeIfAbsent(fontName.getName(), key -> fontFile.getItem(COSName.FONT_FILE2));
fontFile.setItem(COSName.FONT_FILE2, fontFileCache.get(fontName.getName()));
}
}
}
}
}
final ByteArrayOutputStream baos = new ByteArrayOutputStream();
doc.save(baos);
final File compressed = new File("test_compressed.pdf");
baos.writeTo(new FileOutputStream(compressed));
Maybe this is not the most elegant way to do that, but it works and keeps the PDF/A-1b compatibility.
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
2
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
add a comment |
When debugging in the file, I recognized that the font files for the same fonts were referenced several times. So replacing the actual font file item in the dictionary with an already viewed font file item, the reference was removed and compression could be done. By that, I was able to shrink a 30 MB File to around 6 MB.
File file = new File("test.pdf");
PDDocument doc = PDDocument.load(file);
Map<String, COSBase> fontFileCache = new HashMap<>();
for (int pageNumber = 0; pageNumber < doc.getNumberOfPages(); pageNumber++) {
final PDPage page = doc.getPage(pageNumber);
COSDictionary pageDictionary = (COSDictionary) page.getResources().getCOSObject().getDictionaryObject(COSName.FONT);
for (COSName currentFont : pageDictionary.keySet()) {
COSDictionary fontDictionary = (COSDictionary) pageDictionary.getDictionaryObject(currentFont);
for (COSName actualFont : fontDictionary.keySet()) {
COSBase actualFontDictionaryObject = fontDictionary.getDictionaryObject(actualFont);
if (actualFontDictionaryObject instanceof COSDictionary) {
COSDictionary fontFile = (COSDictionary) actualFontDictionaryObject;
if (fontFile.getItem(COSName.FONT_NAME) instanceof COSName) {
COSName fontName = (COSName) fontFile.getItem(COSName.FONT_NAME);
fontFileCache.computeIfAbsent(fontName.getName(), key -> fontFile.getItem(COSName.FONT_FILE2));
fontFile.setItem(COSName.FONT_FILE2, fontFileCache.get(fontName.getName()));
}
}
}
}
}
final ByteArrayOutputStream baos = new ByteArrayOutputStream();
doc.save(baos);
final File compressed = new File("test_compressed.pdf");
baos.writeTo(new FileOutputStream(compressed));
Maybe this is not the most elegant way to do that, but it works and keeps the PDF/A-1b compatibility.
When debugging in the file, I recognized that the font files for the same fonts were referenced several times. So replacing the actual font file item in the dictionary with an already viewed font file item, the reference was removed and compression could be done. By that, I was able to shrink a 30 MB File to around 6 MB.
File file = new File("test.pdf");
PDDocument doc = PDDocument.load(file);
Map<String, COSBase> fontFileCache = new HashMap<>();
for (int pageNumber = 0; pageNumber < doc.getNumberOfPages(); pageNumber++) {
final PDPage page = doc.getPage(pageNumber);
COSDictionary pageDictionary = (COSDictionary) page.getResources().getCOSObject().getDictionaryObject(COSName.FONT);
for (COSName currentFont : pageDictionary.keySet()) {
COSDictionary fontDictionary = (COSDictionary) pageDictionary.getDictionaryObject(currentFont);
for (COSName actualFont : fontDictionary.keySet()) {
COSBase actualFontDictionaryObject = fontDictionary.getDictionaryObject(actualFont);
if (actualFontDictionaryObject instanceof COSDictionary) {
COSDictionary fontFile = (COSDictionary) actualFontDictionaryObject;
if (fontFile.getItem(COSName.FONT_NAME) instanceof COSName) {
COSName fontName = (COSName) fontFile.getItem(COSName.FONT_NAME);
fontFileCache.computeIfAbsent(fontName.getName(), key -> fontFile.getItem(COSName.FONT_FILE2));
fontFile.setItem(COSName.FONT_FILE2, fontFileCache.get(fontName.getName()));
}
}
}
}
}
final ByteArrayOutputStream baos = new ByteArrayOutputStream();
doc.save(baos);
final File compressed = new File("test_compressed.pdf");
baos.writeTo(new FileOutputStream(compressed));
Maybe this is not the most elegant way to do that, but it works and keeps the PDF/A-1b compatibility.
answered Nov 30 '18 at 2:40
schowaveschowave
615
615
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
2
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
add a comment |
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
2
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
This only works if a all font programs embedded for the same name indeed are identical, and if b all fonts to consider are in the immediate page resources, not the resources of some referred to xobject or pattern. If those conditions are fulfilled, though, it very likely is much faster than the approach in my answer.
– mkl
Nov 30 '18 at 6:03
2
2
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
I just compared the results for the example PDF you shared. Original PDF size: 6561805. Result size, your code: 788470. Result size, my code: 691147. Thus, even though there still is some more optimization potential, your shorter and faster code does remove the major duplicates, too.
– mkl
Nov 30 '18 at 9:33
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
Thanks for your investigations! Is the file with your code still PDF/A-1b compatible?
– schowave
Nov 30 '18 at 9:40
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
"Is the file with your code still PDF/A-1b compatible?" - in case of your example file Adobe Acrobat 9.5 Preflight says it is.
– mkl
Nov 30 '18 at 9:55
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
Your solution worked for me, thank you @schowave
– hab
Dec 5 '18 at 19:58
add a comment |
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Are the fonts embedded fully? Or as subsets?
– mkl
Nov 22 '18 at 6:58
@mkl from the output it looks as if they're fully embedded. So if the files are all from the same source, and have the same dictionary, then one could really replace the objects in the fonts resources.
– Tilman Hausherr
Nov 22 '18 at 7:28
After merging make sure to check the result file with preflight to be sure it is still PDF/A. I remember I had a problem years ago involving multiple output intents.
– Tilman Hausherr
Nov 22 '18 at 7:30
@mkl like Tilman gessed, I am almost quite sure that they are embedded fully
– hab
Nov 22 '18 at 8:37
1
Ok, the fonts indeed are completely embedded. And identically. Files like that can be optimized without too much effort. I'll try and find some time for a working answer.
– mkl
Nov 22 '18 at 11:16