)]}'
{
  "commit": "86af365ca8eceaef56d3094a3717630b52da9351",
  "tree": "bc2ebed9db29eb9ef1945c66912074d5ec491a0a",
  "parents": [
    "8490458228565d2fbbd50edbdcef090bb9004f16"
  ],
  "author": {
    "name": "ColinLee",
    "email": "shuolin_l@163.com",
    "time": "Thu Jul 02 19:56:34 2026 +0800"
  },
  "committer": {
    "name": "ColinLee",
    "email": "shuolin_l@163.com",
    "time": "Fri Jul 03 12:53:11 2026 +0800"
  },
  "message": "[Python] Add metadata index cache for TsFileDataFrame\n\nPersist each shard\u0027s MetadataCatalog to a fixed-name index file in the\ndataset directory so repeated loads skip the expensive native metadata\nwalk. A new use_cache flag (default True) enables it only when a single\ndirectory is passed; single-file and list inputs are unchanged.\n\nThe cache is binary: a pickled sidecar for the small table/device tables\nplus one numpy int64 structured array per shard for the bulk series stats.\nWrites are atomic (temp + os.replace); load falls back to a fresh build on\na bad magic/version or a changed file set. Source files are not validated,\nper design.\n",
  "tree_diff": [
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      "new_path": "python/tests/test_tsfile_dataset.py"
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      "new_path": "python/tsfile/dataset/dataframe.py"
    },
    {
      "type": "add",
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      "old_mode": 0,
      "old_path": "/dev/null",
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      "new_mode": 33188,
      "new_path": "python/tsfile/dataset/index_cache.py"
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}