* Fix self-referential shape inspection in BaseExpressionColumnValueSelector.
The new test would throw StackOverflowError on the old code.
* Restore prior test.
* Remove null and empty fields from native queries
* Test fixes
* Attempted IT fix.
* Revisions from review comments
* Build fixes resulting from changes suggested by reviews
* IT fix for changed segment size
The web-console (indirectly) calls the Overlord’s GET tasks API to fetch the tasks' summary which in turn queries the metadata tasks table. This query tries to fetch several columns, including payload, of all the rows at once. This introduces a significant memory overhead and can cause unresponsiveness or overlord failure when the ingestion tab is opened multiple times (due to several parallel calls to this API)
Another thing to note is that the task table (the payload column in particular) can be very large. Extracting large payloads from such tables can be very slow, leading to slow UI. While we are fixing the memory pressure in the overlord, we can also fix the slowness in UI caused by fetching large payloads from the table. Fetching large payloads also puts pressure on the metadata store as reported in the community (Metadata store query performance degrades as the tasks in druid_tasks table grows · Issue #12318 · apache/druid )
The task summaries returned as a response for the API are several times smaller and can fit comfortably in memory. So, there is an opportunity here to fix the memory usage, slow ingestion, and under-pressure metadata store by removing the need to handle large payloads in every layer we can. Of course, the solution becomes complex as we try to fix more layers. With that in mind, this page captures two approaches. They vary in complexity and also in the degree to which they fix the aforementioned problems.
* ForkingTaskRunner: Set ActiveProcessorCount for tasks.
This prevents various automatically-sized thread pools from being unreasonably
large (we don't want each task to size its pools as if it is the only thing on
the entire machine).
* Fix tests.
* Add missing LifecycleStart annotation.
* ForkingTaskRunner needs ManageLifecycle.
* Clean up query contexts
Uses constants in place of literal strings for context keys.
Moves some QueryContext methods to QueryContexts for reuse.
* Revisions from review comments
The "exceptionCaught" handler may get called multiple times. We should
only return the channel to the pool the first time. Returning it more
than once leads to a warning like "Resource at key[%s] was returned
multiple times?"
* Add QoSFilters first in the chain.
When a request is suspended and later resumed due to QoS constraints,
its filter chain is restarted. Placing QoSFilters first in the chain
avoids double-execution of other filters.
Fixes an issue where requests deferred by QoS would report 403 Forbidden
due to double-execution of SecuritySanityCheckFilter.
* Smaller changes.
* Add QoS filters in BaseJettyTest.
* Remove unused parameter.
Fixes an issue where sql query request logs do not include the default query context
values set via `druid.query.default.context.xyz` runtime properties.
# Change summary
* Inject `DefaultQueryConfig` into `SqlLifecycleFactory`
* Add params from `DefaultQueryConfig` to the query context in `SqlLifecycle`
# Description
- This change does not affect query execution. This is because the
`DefaultQueryConfig` was already being used in `QueryLifecycle`,
which is initialized when the SQL is translated to a native query.
- This also handles any potential use case where a context parameter should be
handled at the SQL stage itself.
* SqlSegmentsMetadataQuery: Fix OVERLAPS for wide target segments.
Segments with endpoints prior to year 0 or after year 9999 may overlap
the search intervals but not match the generated SQL conditions. So, we
need to add an additional OR condition to catch these.
I checked a real, live MySQL metadata store to confirm that the query
still uses metadata store indexes. It does.
* Add comments.
Often users are submitting queries, and ingestion specs that work only if the relevant extension is not loaded. However, the error is too technical for the users and doesn't suggest them to check for missing extensions. This PR modifies the error message so users can at least check their settings before assuming that the error is because of a bug.
* Service stdout log files, move logs to log/.
Two changes that make log behavior cleaner:
1) Redirect messages from the Java runtime to their own log files.
Otherwise, they would get jumbled up in the output of the all-in-one
start command.
2) Use log/ instead of bin/log/ for the default log directory. Makes them
easier to find.
Additionally, add documentation about how to avoid the reflective
access warnings in Java 11.
* Spelling.
* See if code formatting affects spelling.
* Small addition to Multitenancy considerations doc
* Update docs/querying/multitenancy.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update multitenancy.md
Edit suggested by @kfaraz
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
fixes an issue caused by a test modification in #12408 that was closing buffers allocated by the compression strategy instead of allowing the closer to do it
RowBasedColumnSelectorFactory inherited strange behavior from
Rows.objectToStrings for nulls that appear in lists: instead of being
left as a null, it is replaced with the string "null". Some callers may
need compatibility with this strange behavior, but it should be opt-in.
Query-time call sites are changed to opt-out of this behavior, since it
is not consistent with query-time expectations. The IncrementalIndex
ingestion-time call site retains the old behavior, as this is traditionally
when Rows.objectToStrings would be used.
* Add RowIdSupplier to ColumnSelectorFactory.
This enables virtual columns to cache their outputs in case they are
called multiple times on the same underlying row. This is common for
numeric selectors, where the common pattern is to call isNull() and
then follow with getLong(), getFloat(), or getDouble(). Here, output
caching reduces the number of expression evals by half.
* Fix tests.
* Adding zstandard compression library
* 1. Took @clintropolis's advice to have ZStandard decompressor use the byte array when the buffers are not direct.
2. Cleaned up checkstyle issues.
* Fixing zstandard version to latest stable version in pom's and updating license files
* Removing zstd from benchmarks and adding to processing (poms)
* fix the intellij inspection issue
* Removing the prefix v for the version in the license check for ztsd
* Fixing license checks
Co-authored-by: Rahul Gidwani <r_gidwani@apple.com>
Adds a default implementation of getQueryContext, which was added to the Query interface in #12396. Query is marked with @ExtensionPoint, and lately we have been trying to be less volatile on these interfaces by providing default implementations to be more chill for extension writers.
The way this default implementation is done in this PR is a bit strange due to the way that getQueryContext is used (mutated with system default and system generated keys); the default implementation has a specific object that it returns, and I added another temporary default method isLegacyContext that checks if the getQueryContext returns that object or not. If not, callers fall back to using getContext and withOverriddenContext to set these default and system values.
I am open to other ideas as well, but this way should work at least without exploding, and added some tests to ensure that it is wired up correctly for QueryLifecycle, including the context authorization stuff.
The added test shows the strange behavior if query context authorization is enabled, mainly that the system default and system generated query context keys also need to be granted as permissions for things to function correctly. This is not great, so I mentioned it in the javadocs as well. Not sure if it needs to be called out anywhere else.
Description
Fixes a bug when running q's like
SELECT cntarray,
Count(*)
FROM (SELECT dim1,
dim2,
Array_agg(cnt) AS cntarray
FROM (SELECT dim1,
dim2,
dim3,
Count(*) AS cnt
FROM foo
GROUP BY 1,
2,
3)
GROUP BY 1,
2)
GROUP BY 1
This generates an error:
org.apache.druid.java.util.common.ISE: Unable to convert type [Ljava.lang.Object; to org.apache.druid.segment.data.ComparableList
at org.apache.druid.segment.DimensionHandlerUtils.convertToList(DimensionHandlerUtils.java:405) ~[druid-xx]
Because it's an array of numbers it looks like it does the convertToList call, which looks like:
@Nullable
public static ComparableList convertToList(Object obj)
{
if (obj == null) {
return null;
}
if (obj instanceof List) {
return new ComparableList((List) obj);
}
if (obj instanceof ComparableList) {
return (ComparableList) obj;
}
throw new ISE("Unable to convert type %s to %s", obj.getClass().getName(), ComparableList.class.getName());
}
I.e. it doesn't know about arrays. Added the array handling as part of this PR.
* Emit state of replace and append for native batch tasks
* Emit count of one depending on batch ingestion mode (APPEND, OVERWRITE, REPLACE)
* Add metric to compaction job
* Avoid null ptr exc when null emitter
* Coverage
* Emit tombstone & segment counts
* Tasks need a type
* Spelling
* Integrate BatchIngestionMode in batch ingestion tasks functionality
* Typos
* Remove batch ingestion type from metric since it is already in a dimension. Move IngestionMode to AbstractTask to facilitate having mode as a dimension. Add metrics to streaming. Add missing coverage.
* Avoid inner class referenced by sub-class inspection. Refactor computation of IngestionMode to make it more robust to null IOConfig and fix test.
* Spelling
* Avoid polluting the Task interface
* Rename computeCompaction methods to avoid ambiguous java compiler error if they are passed null. Other minor cleanup.
In the case that the clustered by is before the partitioned by for an sql query, the error message is a bit confusing.
insert into foo select * from bar clustered by dim1 partitioned by all
Error: SQL parse failed
Encountered "PARTITIONED" at line 1, column 88.
Was expecting one of: <EOF> "," ... "ASC" ... "DESC" ... "NULLS" ... "." ... "NOT" ... "IN" ... "<" ... "<=" ... ">" ... ">=" ... "=" ... "<>" ... "!=" ... "BETWEEN" ... "LIKE" ... "SIMILAR" ... "+" ... "-" ... "*" ... "/" ... "%" ... "||" ... "AND" ... "OR" ... "IS" ... "MEMBER" ... "SUBMULTISET" ... "CONTAINS" ... "OVERLAPS" ... "EQUALS" ... "PRECEDES" ... "SUCCEEDS" ... "IMMEDIATELY" ... "MULTISET" ... "[" ... "FORMAT" ... "(" ... Less...
org.apache.calcite.sql.parser.SqlParseException
This is a bit confusing and adding a check could be added to throw a more user friendly message stating that the order should be reversed.
Add error message for incorrectly ordered clause in sql.
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