Skip to main content
Dictionary compression can dramatically improve compression ratios for small files that share similar structures. This is especially effective for collections of JSON records, small HTML pages, or similar data.

​
Why Use Dictionaries?

Traditional compression algorithms rely on finding repetitive patterns within a single file. Small files often don’t have enough repetition to compress well. Dictionaries solve this by:
  • Pre-learning common patterns from sample data
  • Sharing patterns across files that have similar structures
  • Improving compression ratio by 2x or more for small files
  • Reducing header overhead through entropy tables
Dictionaries are most effective for files under 100KB. The smaller the file, the greater the benefit.

​
Training a Dictionary

Before using dictionary compression, you need to train a dictionary on representative samples.

​
Using the Command Line

The easiest way to create a dictionary is with the zstd CLI: 
# Train a dictionary from sample files
zstd --train samples/*.json -o dict.zst

# Specify dictionary size (default 110KB)
zstd --train samples/*.json -o dict.zst --maxdict=100000

​
Using the API

You can also train dictionaries programmatically using the zdict.h API: 
#include <zdict.h>

// Prepare samples (concatenated in a single buffer)
void* samplesBuffer;  // All samples concatenated
size_t* samplesSizes; // Array of individual sample sizes
unsigned nbSamples;   // Number of samples

// Train the dictionary
size_t dictSize = ZDICT_trainFromBuffer(
    dictBuffer,           // Output: dictionary buffer
    dictBufferCapacity,   // Size: typically ~100KB
    samplesBuffer,        // Input: all samples concatenated
    samplesSizes,         // Input: size of each sample
    nbSamples             // Input: number of samples
);

if (ZDICT_isError(dictSize)) {
    fprintf(stderr, "Dictionary training failed: %s\n", 
            ZDICT_getErrorName(dictSize));
}

​
Training Guidelines

  • Sample count: Provide at least 100x the dictionary size in samples (a few thousand samples)
  • Dictionary size: 100KB is a reasonable default
  • Sample quality: Use representative data similar to what you’ll compress
  • Similarity: Samples should share common structures or patterns

​
Compressing with a Dictionary

Once you have a trained dictionary, use it for compression.
1

Load the dictionary

Create a ZSTD_CDict object from the dictionary file:
static ZSTD_CDict* createCDict_orDie(const char* dictFileName, int cLevel)
{
    size_t dictSize;
    printf("loading dictionary %s \n", dictFileName);
    void* const dictBuffer = mallocAndLoadFile_orDie(dictFileName, &dictSize);
    ZSTD_CDict* const cdict = ZSTD_createCDict(dictBuffer, dictSize, cLevel);
    CHECK(cdict != NULL, "ZSTD_createCDict() failed!");
    free(dictBuffer);
    return cdict;
}
Load the dictionary once and reuse it for multiple compressions.
2

Compress with the dictionary

Use ZSTD_compress_usingCDict() to compress data:
static void compress(const char* fname, const char* oname, const ZSTD_CDict* cdict)
{
    size_t fSize;
    void* const fBuff = mallocAndLoadFile_orDie(fname, &fSize);
    size_t const cBuffSize = ZSTD_compressBound(fSize);
    void* const cBuff = malloc_orDie(cBuffSize);

    /* Compress using the dictionary.
     * This function writes the dictionary id, and content size into the header.
     * But, it doesn't use a checksum. You can control these options using the
     * advanced API: ZSTD_CCtx_setParameter(), ZSTD_CCtx_refCDict(),
     * and ZSTD_compress2().
     */
    ZSTD_CCtx* const cctx = ZSTD_createCCtx();
    CHECK(cctx != NULL, "ZSTD_createCCtx() failed!");
    size_t const cSize = ZSTD_compress_usingCDict(cctx, cBuff, cBuffSize, 
                                                   fBuff, fSize, cdict);
    CHECK_ZSTD(cSize);

    saveFile_orDie(oname, cBuff, cSize);
    printf("%25s : %6u -> %7u - %s \n", fname, 
           (unsigned)fSize, (unsigned)cSize, oname);

    ZSTD_freeCCtx(cctx);
    free(fBuff);
    free(cBuff);
}
3

Clean up

Free the dictionary when done:
ZSTD_freeCDict(dictPtr);

​
Complete Example

From examples/dictionary_compression.c: 
int main(int argc, const char** argv)
{
    const char* const exeName = argv[0];
    int const cLevel = 3;

    if (argc<3) {
        fprintf(stderr, "wrong arguments\n");
        fprintf(stderr, "usage:\n");
        fprintf(stderr, "%s [FILES] dictionary\n", exeName);
        return 1;
    }

    /* load dictionary only once */
    const char* const dictName = argv[argc-1];
    ZSTD_CDict* const dictPtr = createCDict_orDie(dictName, cLevel);

    int u;
    for (u=1; u<argc-1; u++) {
        const char* inFilename = argv[u];
        char* const outFilename = createOutFilename_orDie(inFilename);
        compress(inFilename, outFilename, dictPtr);
        free(outFilename);
    }

    ZSTD_freeCDict(dictPtr);
    printf("All %u files compressed. \n", argc-2);
    return 0;
}

​
Decompressing with a Dictionary

Decompression requires the same dictionary used for compression.
1

Load the dictionary

Create a ZSTD_DDict object:
static ZSTD_DDict* createDict_orDie(const char* dictFileName)
{
    size_t dictSize;
    printf("loading dictionary %s \n", dictFileName);
    void* const dictBuffer = mallocAndLoadFile_orDie(dictFileName, &dictSize);
    ZSTD_DDict* const ddict = ZSTD_createDDict(dictBuffer, dictSize);
    CHECK(ddict != NULL, "ZSTD_createDDict() failed!");
    free(dictBuffer);
    return ddict;
}
2

Verify dictionary ID

Optionally verify the dictionary matches:
unsigned const expectedDictID = ZSTD_getDictID_fromDDict(ddict);
unsigned const actualDictID = ZSTD_getDictID_fromFrame(cBuff, cSize);
CHECK(actualDictID == expectedDictID,
      "DictID mismatch: expected %u got %u",
      expectedDictID, actualDictID);
Zstd writes the dictionary ID into the frame header by default.
3

Decompress with the dictionary

Use ZSTD_decompress_usingDDict():
ZSTD_DCtx* const dctx = ZSTD_createDCtx();
CHECK(dctx != NULL, "ZSTD_createDCtx() failed!");
size_t const dSize = ZSTD_decompress_usingDDict(dctx, rBuff, rSize, 
                                                 cBuff, cSize, ddict);
CHECK_ZSTD(dSize);

​
Complete Example

From examples/dictionary_decompression.c: 
static void decompress(const char* fname, const ZSTD_DDict* ddict)
{
    size_t cSize;
    void* const cBuff = mallocAndLoadFile_orDie(fname, &cSize);
    unsigned long long const rSize = ZSTD_getFrameContentSize(cBuff, cSize);
    CHECK(rSize != ZSTD_CONTENTSIZE_ERROR, "%s: not compressed by zstd!", fname);
    CHECK(rSize != ZSTD_CONTENTSIZE_UNKNOWN, "%s: original size unknown!", fname);
    void* const rBuff = malloc_orDie((size_t)rSize);

    /* Check that the dictionary ID matches.
     * If a non-zstd dictionary is used, then both will be zero.
     * By default zstd always writes the dictionary ID into the frame.
     * Zstd will check if there is a dictionary ID mismatch as well.
     */
    unsigned const expectedDictID = ZSTD_getDictID_fromDDict(ddict);
    unsigned const actualDictID = ZSTD_getDictID_fromFrame(cBuff, cSize);
    CHECK(actualDictID == expectedDictID,
          "DictID mismatch: expected %u got %u",
          expectedDictID,
          actualDictID);

    /* Decompress using the dictionary.
     * If you need to control the decompression parameters, then use the
     * advanced API: ZSTD_DCtx_setParameter(), ZSTD_DCtx_refDDict(), and
     * ZSTD_decompressDCtx().
     */
    ZSTD_DCtx* const dctx = ZSTD_createDCtx();
    CHECK(dctx != NULL, "ZSTD_createDCtx() failed!");
    size_t const dSize = ZSTD_decompress_usingDDict(dctx, rBuff, rSize, cBuff, cSize, ddict);
    CHECK_ZSTD(dSize);
    /* When zstd knows the content size, it will error if it doesn't match. */
    CHECK(dSize == rSize, "Impossible because zstd will check this condition!");

    printf("%25s : %6u -> %7u \n", fname, (unsigned)cSize, (unsigned)rSize);

    ZSTD_freeDCtx(dctx);
    free(rBuff);
    free(cBuff);
}

​
Advanced Dictionary Training

For more control over dictionary training, use the advanced API: 
// Simple training (default parameters)
size_t dictSize = ZDICT_trainFromBuffer(
    dictBuffer, dictBufferCapacity,
    samplesBuffer, samplesSizes, nbSamples
);

​
Raw Content Dictionaries

You can use any buffer as a raw content dictionary without training: 
// Use any buffer as a dictionary
void* rawDict = myCustomDictionary;
size_t rawDictSize = sizeof(myCustomDictionary);

// Compress with raw dictionary
ZSTD_CCtx_loadDictionary(cctx, rawDict, rawDictSize);
ZSTD_compress2(cctx, dst, dstSize, src, srcSize);
Raw dictionaries don’t include entropy tables or dictionary IDs, so they’re less effective than trained dictionaries.

​
Performance Tips

  • Reuse dictionary objects: Create ZSTD_CDict/ZSTD_DDict once and reuse for multiple operations
  • Match compression level: Train dictionaries at the compression level you’ll use in production
  • Update periodically: Retrain dictionaries as your data evolves
  • Test effectiveness: Use zstd -b to benchmark with and without the dictionary
# Benchmark without dictionary
zstd -b1e3 -r /path/to/files

# Benchmark with dictionary
zstd -b1e3 -r /path/to/files -D /path/to/dict.zst

Build docs developers (and LLMs) love

Get started for freeTalk to us