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Posted to issues-all@impala.apache.org by "Sahil Takiar (Jira)" <ji...@apache.org> on 2020/08/31 17:26:00 UTC
[jira] [Created] (IMPALA-10117) Skip calls to FsPermissionCache for
blob stores
Sahil Takiar created IMPALA-10117:
-------------------------------------
Summary: Skip calls to FsPermissionCache for blob stores
Key: IMPALA-10117
URL: https://issues.apache.org/jira/browse/IMPALA-10117
Project: IMPALA
Issue Type: Improvement
Reporter: Sahil Takiar
The {{FsPermissionCache}} is described as:
{code:java}
/**
* Simple non-thread-safe cache for resolved file permissions. This allows
* pre-caching permissions by listing the status of all files within a directory,
* and then using that cache to avoid round trips to the FileSystem for later
* queries of those paths.
*/ {code}
I confirmed, and {{FsPermissionCache#precacheChildrenOf}} is actually called for data stored on S3. The issue is that {{FsPermissionCache#getPermissions}} is called inside {{HdfsTable#getAvailableAccessLevel}}, which is skipped for S3. So all the cached metadata is not used. The problem is that {{precacheChildrenOf}} calls {{getFileStatus}} for all files, which results in a bunch of unnecessary metadata operations to S3 + a bunch of cached metadata that is never used.
{{precacheChildrenOf}} is actually only invoked in the specific scenario described below:
{code}
// Only preload permissions if the number of partitions to be added is
// large (3x) relative to the number of existing partitions. This covers
// two common cases:
//
// 1) initial load of a table (no existing partition metadata)
// 2) ALTER TABLE RECOVER PARTITIONS after creating a table pointing to
// an already-existing partition directory tree
//
// Without this heuristic, we would end up using a "listStatus" call to
// potentially fetch a bunch of irrelevant information about existing
// partitions when we only want to know about a small number of newly-added
// partitions.
{code}
Regardless, skipping the call to {{precacheChildrenOf}} for blob stores should (1) improve table loading time for S3 backed tables, and (2) decrease catalogd memory requirements when loading a bunch of tables stored on S3.
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