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Can't conveniently open zip store from path with zarr v3 #2831

Description

@aulemahal

Zarr version

v3

Numcodecs version

v0.15.1

Python Version

3.12

Operating System

Linux

Installation

Mamba

Description

In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

The zarr.open docstring says:

Parameters
----------
store : Store or str, optional
Store or path to directory in file system or name of zip file.

which seems to imply that passing a string path ending in zip should work.

Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
Like it could happen here:

elifisinstance(store_like, Path):
store=awaitLocalStore.open(root=store_like, read_only=_read_only)
elifisinstance(store_like, str):
storage_options=storage_optionsor {}
if_is_fsspec_uri(store_like):
used_storage_options=True
store=FsspecStore.from_url(
store_like, storage_options=storage_options, read_only=_read_only
)
else:
store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

Steps to reproduce

Example adapted from the doc.

importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
z=zarr.create_array(
store=store,
shape=(100, 100),
chunks=(10, 10),
dtype="f4"
)
z[:, :] =np.random.random((100, 100))
store.close()
zarr.open('example-3.zip', mode='r')

Additional output

No response

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      Can't conveniently open zip store from path with zarr v3 · Issue #2831 · zarr-developers/zarr-python · GitHub
      Skip to content

      Can't conveniently open zip store from path with zarr v3 #2831

      Description

      @aulemahal

      Zarr version

      v3

      Numcodecs version

      v0.15.1

      Python Version

      3.12

      Operating System

      Linux

      Installation

      Mamba

      Description

      In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

      In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

      The zarr.open docstring says:

      Parameters
      ----------
      store : Store or str, optional
      Store or path to directory in file system or name of zip file.

      which seems to imply that passing a string path ending in zip should work.

      Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

      I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

      I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
      Like it could happen here:

      elifisinstance(store_like, Path):
      store=awaitLocalStore.open(root=store_like, read_only=_read_only)
      elifisinstance(store_like, str):
      storage_options=storage_optionsor {}
      if_is_fsspec_uri(store_like):
      used_storage_options=True
      store=FsspecStore.from_url(
      store_like, storage_options=storage_options, read_only=_read_only
      )
      else:
      store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

      Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

      Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

      Steps to reproduce

      Example adapted from the doc.

      importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
      z=zarr.create_array(
      store=store,
      shape=(100, 100),
      chunks=(10, 10),
      dtype="f4"
      )
      z[:, :] =np.random.random((100, 100))
      store.close()
      zarr.open('example-3.zip', mode='r')

      Additional output

      No response

      Metadata

      Metadata

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      No one assigned

        Labels

        bugPotential issues with the zarr-python library

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          None yet

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Can't conveniently open zip store from path with zarr v3 · Issue #2831 · zarr-developers/zarr-python · GitHub
          Skip to content

          Can't conveniently open zip store from path with zarr v3 #2831

          Description

          @aulemahal

          Zarr version

          v3

          Numcodecs version

          v0.15.1

          Python Version

          3.12

          Operating System

          Linux

          Installation

          Mamba

          Description

          In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

          In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

          The zarr.open docstring says:

          Parameters
          ----------
          store : Store or str, optional
          Store or path to directory in file system or name of zip file.

          which seems to imply that passing a string path ending in zip should work.

          Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

          I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

          I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
          Like it could happen here:

          elifisinstance(store_like, Path):
          store=awaitLocalStore.open(root=store_like, read_only=_read_only)
          elifisinstance(store_like, str):
          storage_options=storage_optionsor {}
          if_is_fsspec_uri(store_like):
          used_storage_options=True
          store=FsspecStore.from_url(
          store_like, storage_options=storage_options, read_only=_read_only
          )
          else:
          store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

          Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

          Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

          Steps to reproduce

          Example adapted from the doc.

          importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
          z=zarr.create_array(
          store=store,
          shape=(100, 100),
          chunks=(10, 10),
          dtype="f4"
          )
          z[:, :] =np.random.random((100, 100))
          store.close()
          zarr.open('example-3.zip', mode='r')

          Additional output

          No response

          Metadata

          Metadata

          Assignees

          No one assigned

            Labels

            bugPotential issues with the zarr-python library

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

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              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Can't conveniently open zip store from path with zarr v3 · Issue #2831 · zarr-developers/zarr-python · GitHub
              Skip to content

              Can't conveniently open zip store from path with zarr v3 #2831

              Description

              @aulemahal

              Zarr version

              v3

              Numcodecs version

              v0.15.1

              Python Version

              3.12

              Operating System

              Linux

              Installation

              Mamba

              Description

              In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

              In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

              The zarr.open docstring says:

              Parameters
              ----------
              store : Store or str, optional
              Store or path to directory in file system or name of zip file.

              which seems to imply that passing a string path ending in zip should work.

              Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

              I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

              I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
              Like it could happen here:

              elifisinstance(store_like, Path):
              store=awaitLocalStore.open(root=store_like, read_only=_read_only)
              elifisinstance(store_like, str):
              storage_options=storage_optionsor {}
              if_is_fsspec_uri(store_like):
              used_storage_options=True
              store=FsspecStore.from_url(
              store_like, storage_options=storage_options, read_only=_read_only
              )
              else:
              store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

              Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

              Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

              Steps to reproduce

              Example adapted from the doc.

              importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
              z=zarr.create_array(
              store=store,
              shape=(100, 100),
              chunks=(10, 10),
              dtype="f4"
              )
              z[:, :] =np.random.random((100, 100))
              store.close()
              zarr.open('example-3.zip', mode='r')

              Additional output

              No response

              Metadata

              Metadata

              Assignees

              No one assigned

                Labels

                bugPotential issues with the zarr-python library

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

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                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Can't conveniently open zip store from path with zarr v3 · Issue #2831 · zarr-developers/zarr-python · GitHub
                  Skip to content

                  Can't conveniently open zip store from path with zarr v3 #2831

                  Description

                  @aulemahal

                  Zarr version

                  v3

                  Numcodecs version

                  v0.15.1

                  Python Version

                  3.12

                  Operating System

                  Linux

                  Installation

                  Mamba

                  Description

                  In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

                  In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

                  The zarr.open docstring says:

                  Parameters
                  ----------
                  store : Store or str, optional
                  Store or path to directory in file system or name of zip file.

                  which seems to imply that passing a string path ending in zip should work.

                  Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

                  I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

                  I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
                  Like it could happen here:

                  elifisinstance(store_like, Path):
                  store=awaitLocalStore.open(root=store_like, read_only=_read_only)
                  elifisinstance(store_like, str):
                  storage_options=storage_optionsor {}
                  if_is_fsspec_uri(store_like):
                  used_storage_options=True
                  store=FsspecStore.from_url(
                  store_like, storage_options=storage_options, read_only=_read_only
                  )
                  else:
                  store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

                  Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

                  Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

                  Steps to reproduce

                  Example adapted from the doc.

                  importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
                  z=zarr.create_array(
                  store=store,
                  shape=(100, 100),
                  chunks=(10, 10),
                  dtype="f4"
                  )
                  z[:, :] =np.random.random((100, 100))
                  store.close()
                  zarr.open('example-3.zip', mode='r')

                  Additional output

                  No response

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    bugPotential issues with the zarr-python library

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Can't conveniently open zip store from path with zarr v3 · Issue #2831 · zarr-developers/zarr-python · GitHub
                      Skip to content

                      Can't conveniently open zip store from path with zarr v3 #2831

                      Description

                      @aulemahal

                      Zarr version

                      v3

                      Numcodecs version

                      v0.15.1

                      Python Version

                      3.12

                      Operating System

                      Linux

                      Installation

                      Mamba

                      Description

                      In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

                      In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

                      The zarr.open docstring says:

                      Parameters
                      ----------
                      store : Store or str, optional
                      Store or path to directory in file system or name of zip file.

                      which seems to imply that passing a string path ending in zip should work.

                      Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

                      I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

                      I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
                      Like it could happen here:

                      elifisinstance(store_like, Path):
                      store=awaitLocalStore.open(root=store_like, read_only=_read_only)
                      elifisinstance(store_like, str):
                      storage_options=storage_optionsor {}
                      if_is_fsspec_uri(store_like):
                      used_storage_options=True
                      store=FsspecStore.from_url(
                      store_like, storage_options=storage_options, read_only=_read_only
                      )
                      else:
                      store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

                      Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

                      Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

                      Steps to reproduce

                      Example adapted from the doc.

                      importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
                      z=zarr.create_array(
                      store=store,
                      shape=(100, 100),
                      chunks=(10, 10),
                      dtype="f4"
                      )
                      z[:, :] =np.random.random((100, 100))
                      store.close()
                      zarr.open('example-3.zip', mode='r')

                      Additional output

                      No response

                      Metadata

                      Metadata

                      Assignees

                      No one assigned

                        Labels

                        bugPotential issues with the zarr-python library

                        Type

                        No type

                        Projects

                        No projects

                          Milestone

                          No milestone

                          Relationships

                          None yet

                          Development

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Can't conveniently open zip store from path with zarr v3 · Issue #2831 · zarr-developers/zarr-python · GitHub
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                          Can't conveniently open zip store from path with zarr v3 #2831

                          Description

                          @aulemahal

                          Zarr version

                          v3

                          Numcodecs version

                          v0.15.1

                          Python Version

                          3.12

                          Operating System

                          Linux

                          Installation

                          Mamba

                          Description

                          In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

                          In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

                          The zarr.open docstring says:

                          Parameters
                          ----------
                          store : Store or str, optional
                          Store or path to directory in file system or name of zip file.

                          which seems to imply that passing a string path ending in zip should work.

                          Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

                          I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

                          I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
                          Like it could happen here:

                          elifisinstance(store_like, Path):
                          store=awaitLocalStore.open(root=store_like, read_only=_read_only)
                          elifisinstance(store_like, str):
                          storage_options=storage_optionsor {}
                          if_is_fsspec_uri(store_like):
                          used_storage_options=True
                          store=FsspecStore.from_url(
                          store_like, storage_options=storage_options, read_only=_read_only
                          )
                          else:
                          store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

                          Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

                          Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

                          Steps to reproduce

                          Example adapted from the doc.

                          importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
                          z=zarr.create_array(
                          store=store,
                          shape=(100, 100),
                          chunks=(10, 10),
                          dtype="f4"
                          )
                          z[:, :] =np.random.random((100, 100))
                          store.close()
                          zarr.open('example-3.zip', mode='r')

                          Additional output

                          No response

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                            Labels

                            bugPotential issues with the zarr-python library

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                              Skip to content

                              Can't conveniently open zip store from path with zarr v3 #2831

                              Description

                              @aulemahal

                              Zarr version

                              v3

                              Numcodecs version

                              v0.15.1

                              Python Version

                              3.12

                              Operating System

                              Linux

                              Installation

                              Mamba

                              Description

                              In zarr v2, passing a path (str) ending with *.zip to zarr.open or zarr.open_consolidated would work transparently, the same way as is a *.zarr path was given.

                              In zarr v3, this fails with FileNotFoundError : Unable to find group. The way around is to open a ZipStore explicitely and then pass that to zarr.open.

                              The zarr.open docstring says:

                              Parameters
                              ----------
                              store : Store or str, optional
                              Store or path to directory in file system or name of zip file.

                              which seems to imply that passing a string path ending in zip should work.

                              Moreover, I found it more convenient when one didn't need to test for file extensions and explicitly handle storage objects. I use zarr dataset through xarray and it seems to me that xr.open_dataset('example.zarr.zip', engine='zarr') should usually be how a normal user should open a such a file ?

                              I understand that the ZipStore is still « experimental » in v3, and I really hope you keep it in the officiel scheme because it is very useful, to us at least. Zipped zarrs have many of the benefits of zarr (over netCDF for example), but without the inode-explosion that pure zarr folders create on unix filesystems (slowing down the disk operations).

                              I think I see that the store guessing happens in zarr.storage._common.make_store_path ?
                              Like it could happen here:

                              elifisinstance(store_like, Path):
                              store=awaitLocalStore.open(root=store_like, read_only=_read_only)
                              elifisinstance(store_like, str):
                              storage_options=storage_optionsor {}
                              if_is_fsspec_uri(store_like):
                              used_storage_options=True
                              store=FsspecStore.from_url(
                              store_like, storage_options=storage_options, read_only=_read_only
                              )
                              else:
                              store=awaitLocalStore.open(root=Path(store_like), read_only=_read_only)

                              Would this convenience be welcomed back in zarr-python ? I could do a PR if the team here agrees with adding this case handling. To avoid pure string checking, one could even use zipfile.is_zipfile from the standard library to check for zip stores ?

                              Otherwise, I guess this could be done by xarray itself ? Many of my scripts go through intake-esm also, I guess we could fix it there too if the proposal gets refused here.

                              Steps to reproduce

                              Example adapted from the doc.

                              importnumpyasnpimportzarrstore=zarr.storage.ZipStore("example-3.zip", mode='w')
                              z=zarr.create_array(
                              store=store,
                              shape=(100, 100),
                              chunks=(10, 10),
                              dtype="f4"
                              )
                              z[:, :] =np.random.random((100, 100))
                              store.close()
                              zarr.open('example-3.zip', mode='r')

                              Additional output

                              No response

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                bugPotential issues with the zarr-python library

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

                                  Development

                                  No branches or pull requests

                                  Issue actions