* make double sum/min/max agg work on string columns
* style and compilation fixes
* fix tests
* address review comments
* add comment on SimpleDoubleAggregatorFactory
* make checkstyle happy
* switch builder image to smaller "slim" debian base
* use built-in pyyaml
* skip various build checks to speed up compilation
* create user/group in target image directly
The package check job sometimes hits the 50 minute Travis CI job time
limit. Move license checking tasks in "package check" job to "license
check" job to rebalance the job runtime (the "license check" job
currently takes about 1 minute). Moving the logic from build.sh to
.travis.yml also gives more visibility into how long each step takes
(i.e., generate-license-dependency-reports.py vs generate-license.py).
After enabling parallel builds for "mvn install", the sigar dependency
would sometimes resolve to the incorrect artifact repo for some of the
maven modules. This issue seems to be fixed by moving the definition of
the sigar dependency's artifact repo to the root POM.
Also, depending on network speeds, "mvn -q install" may take longer than
the default 10 minute timeout to print any output. Use travis_wait to
extend the timeout to 15 minutes.
Reorganize Travis CI jobs into smaller faster (and more) jobs. Add
various maven options to skip unnecessary work and refactored Travis CI
job definitions to follow DRY.
Detailed changes:
.travis.yml
- Refactor build logic to get rid of copy-and-paste logic
- Skip static checks and enable parallelism for maven install
- Split static analysis into different jobs to ease triage
- Use "name" attribute instead of NAME environment variable
- Split "indexing" and "web console" out of "other modules test"
- Split 2 integration test jobs into multiple smaller jobs
build.sh
- Enable parallelism
- Disable more static checks
travis_script_integration.sh
travis_script_integration_part2.sh
integration-tests/README.md
- Use TestNG groups instead of shell scripts and move definition of jobs
into Travis CI yaml
integration-tests/pom.xml
- Show elapsed time of individual tests to aid in future rebalancing of
Travis CI integration test jobs run time
TestNGGroup.java
- Use TestNG groups to make it easy to have multiple Travis CI
integration test jobs. TestNG groups also make it easier to have an
"other" integration test group and make it less likely a test will
accidentally not be included in a CI job.
IT*Test.java
AbstractITBatchIndexTest.java
AbstractKafkaIndexerTest.java
- Add TestNG group
- Fix various IntelliJ inspection warnings
- Reduce scope of helper methods since the TestNG group annotation on
the class makes TestNG consider all public methods as test methods
pom.xml
- Allow enforce plugin to be run from command-line
- Bump resources plugin version so that "[debug] execute contextualize"
output is correctly suppressed by "mvn -q"
- Bump exec plugin version so that skip property is renamed from "skip"
to "exec.skip"
web-console/pom.xml
- Add property to allow disabling javascript-related work. This property
is overridden in Travis CI to speed up the jobs.
* Enable ability to toggle SegmentMetadata request logging on/off
* Move SegmentMetadata query log filter to FilteredRequestLogger
* Update documentation to reflect the segment metadata flag moving to the filtered request logger
* Modify patch to allow blacklist of query types to not log to request logger
* Address styling and naming requests following latest code review
* Fix indentation on multiple locations per Druid style rules
* Fix race between canHandle() and addSegment() in StorageLocation
* add comment
* Add shuffleSegmentPusher which is a dataSegmentPusher used for writing shuffle data in local storage.
* add comments
* unused import
* add comments
* fix test
* address comments
* remove <p> tag from javadoc
* address comments
* comparingLong
* Address comments
* fix test
* Refactored ResponseContext and aggregated its keys into Enum
* Added unit tests for ResponseContext and refactored the serialization
* Removed unused methods
* Fixed code style
* Fixed code style
* Fixed code style
* Made SerializationResult static
* Updated according to the PR discussion:
Renamed an argument
Updated comparator
Replaced Pair usage with Map.Entry
Added a comment about quadratic complexity
Removed boolean field with an expression
Renamed SerializationResult field
Renamed the method merge to add and renamed several context keys
Renamed field and method related to scanRowsLimit
Updated a comment
Simplified a block of code
Renamed a variable
* Added JsonProperty annotation to renamed ScanQuery field
* Extension-friendly context key implementation
* Refactored ResponseContext: updated delegate type, comments and exceptions
Reducing serialized context length by removing some of its'
collection elements
* Fixed tests
* Simplified response context truncation during serialization
* Extracted a method of removing elements from a response context and
added some comments
* Fixed typos and updated comments
* Add a cluster-wide configuration to force timeChunk lock and add a doc for segment locking
* add more test
* javadoc for missingIntervalsInOverwriteMode
* Fix test
* Address comments
* avoid spotbugs
* Add IPv4 SQL functions
New SQL functions for filtering IPv4 addresses:
- IPV4_MATCH: Check if IP address belongs to a subnet
- IPV4_PARSE: Convert string IP address to integer
- IPV4_STRINGIFY: Convert integer IP address to string
These are the SQL analogs of the druid expressions with the same name.
Filtering is more efficient when operating on IP addresses as integers
instead of strings.
* Refactor operator conversions into named constants
* Add IPv4 druid expressions
New druid expressions for filtering IPv4 addresses:
- ipv4address_match: Check if IP address belongs to a subnet
- ipv4address_parse: Convert string IP address to long
- ipv4address_stringify: Convert long IP address to string
These expressions operate on IP addresses represented as either strings
or longs, so that they can be applied to dimensions with mixed
representation of IP addresses. The filtering is more efficient when
operating on IP addresses as longs. In other words, the intended use
case is:
1) Use ipv4address_parse to convert to long at ingestion time
2) Use ipv4address_match to filter (on longs) at query time
3) Use ipv4adress_stringify to convert to (readable) string at query
time
* Fix licenses and null handling
* Simplify IPv4 expressions
* Fix tests
* Fix check for valid ipv4 address string