[SPARK-24591][CORE] Number of cores and executors in the cluster #5

MaxGekk · 2018-06-16T21:02:13Z

What changes were proposed in this pull request?

In the PR, I propose to extend SparkContext by:

def numCores: Int returns total number of CPU cores of all executors registered in the cluster at the moment. Main use case for that is using it in repartition() and coalesce().
def numExecutors: Int returns total number of executors registered in the cluster at the moment. Some jobs, e.g., local node ML training, use a lot of parallelism. It's a common practice to aim to distribute such jobs such that there is one partition for each executor.

How was this patch tested?

R API was tested manually from sparkR
Added tests fro PySpark and JavaSparkContext that test number of cores and executors in local mode.

MaxGekk · 2018-06-18T02:12:14Z

@ssimeonov Reynold proposed to rename the method to numCores and numExecutors. Is it ok for you?

ssimeonov · 2018-06-18T03:38:57Z

Absolutely.

## What changes were proposed in this pull request? Implements Every, Some, Any aggregates in SQL. These new aggregate expressions are analyzed in normal way and rewritten to equivalent existing aggregate expressions in the optimizer. Every(x) => Min(x) where x is boolean. Some(x) => Max(x) where x is boolean. Any is a synonym for Some. SQL ``` explain extended select every(v) from test_agg group by k; ``` Plan : ``` == Parsed Logical Plan == 'Aggregate ['k], [unresolvedalias('every('v), None)] +- 'UnresolvedRelation `test_agg` == Analyzed Logical Plan == every(v): boolean Aggregate [k#0], [every(v#1) AS every(v)#5] +- SubqueryAlias `test_agg` +- Project [k#0, v#1] +- SubqueryAlias `test_agg` +- LocalRelation [k#0, v#1] == Optimized Logical Plan == Aggregate [k#0], [min(v#1) AS every(v)#5] +- LocalRelation [k#0, v#1] == Physical Plan == *(2) HashAggregate(keys=[k#0], functions=[min(v#1)], output=[every(v)#5]) +- Exchange hashpartitioning(k#0, 200) +- *(1) HashAggregate(keys=[k#0], functions=[partial_min(v#1)], output=[k#0, min#7]) +- LocalTableScan [k#0, v#1] Time taken: 0.512 seconds, Fetched 1 row(s) ``` ## How was this patch tested? Added tests in SQLQueryTestSuite, DataframeAggregateSuite Closes apache#22809 from dilipbiswal/SPARK-19851-specific-rewrite. Authored-by: Dilip Biswal <[email protected]> Signed-off-by: Wenchen Fan <[email protected]>

## What changes were proposed in this pull request? This PR aims at improving the way physical plans are explained in spark. Currently, the explain output for physical plan may look very cluttered and each operator's string representation can be very wide and wraps around in the display making it little hard to follow. This especially happens when explaining a query 1) Operating on wide tables 2) Has complex expressions etc. This PR attempts to split the output into two sections. In the header section, we display the basic operator tree with a number associated with each operator. In this section, we strictly control what we output for each operator. In the footer section, each operator is verbosely displayed. Based on the feedback from Maryann, the uncorrelated subqueries (SubqueryExecs) are not included in the main plan. They are printed separately after the main plan and can be correlated by the originating expression id from its parent plan. To illustrate, here is a simple plan displayed in old vs new way. Example query1 : ``` EXPLAIN SELECT key, Max(val) FROM explain_temp1 WHERE key > 0 GROUP BY key HAVING max(val) > 0 ``` Old : ``` *(2) Project [key#2, max(val)#15] +- *(2) Filter (isnotnull(max(val#3)#18) AND (max(val#3)#18 > 0)) +- *(2) HashAggregate(keys=[key#2], functions=[max(val#3)], output=[key#2, max(val)#15, max(val#3)#18]) +- Exchange hashpartitioning(key#2, 200) +- *(1) HashAggregate(keys=[key#2], functions=[partial_max(val#3)], output=[key#2, max#21]) +- *(1) Project [key#2, val#3] +- *(1) Filter (isnotnull(key#2) AND (key#2 > 0)) +- *(1) FileScan parquet default.explain_temp1[key#2,val#3] Batched: true, DataFilters: [isnotnull(key#2), (key#2 > 0)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/explain_temp1], PartitionFilters: [], PushedFilters: [IsNotNull(key), GreaterThan(key,0)], ReadSchema: struct<key:int,val:int> ``` New : ``` Project (8) +- Filter (7) +- HashAggregate (6) +- Exchange (5) +- HashAggregate (4) +- Project (3) +- Filter (2) +- Scan parquet default.explain_temp1 (1) (1) Scan parquet default.explain_temp1 [codegen id : 1] Output: [key#2, val#3] (2) Filter [codegen id : 1] Input : [key#2, val#3] Condition : (isnotnull(key#2) AND (key#2 > 0)) (3) Project [codegen id : 1] Output : [key#2, val#3] Input : [key#2, val#3] (4) HashAggregate [codegen id : 1] Input: [key#2, val#3] (5) Exchange Input: [key#2, max#11] (6) HashAggregate [codegen id : 2] Input: [key#2, max#11] (7) Filter [codegen id : 2] Input : [key#2, max(val)#5, max(val#3)#8] Condition : (isnotnull(max(val#3)#8) AND (max(val#3)#8 > 0)) (8) Project [codegen id : 2] Output : [key#2, max(val)#5] Input : [key#2, max(val)#5, max(val#3)#8] ``` Example Query2 (subquery): ``` SELECT * FROM explain_temp1 WHERE KEY = (SELECT Max(KEY) FROM explain_temp2 WHERE KEY = (SELECT Max(KEY) FROM explain_temp3 WHERE val > 0) AND val = 2) AND val > 3 ``` Old: ``` *(1) Project [key#2, val#3] +- *(1) Filter (((isnotnull(KEY#2) AND isnotnull(val#3)) AND (KEY#2 = Subquery scalar-subquery#39)) AND (val#3 > 3)) : +- Subquery scalar-subquery#39 : +- *(2) HashAggregate(keys=[], functions=[max(KEY#26)], output=[max(KEY)apache#45]) : +- Exchange SinglePartition : +- *(1) HashAggregate(keys=[], functions=[partial_max(KEY#26)], output=[max#47]) : +- *(1) Project [key#26] : +- *(1) Filter (((isnotnull(KEY#26) AND isnotnull(val#27)) AND (KEY#26 = Subquery scalar-subquery#38)) AND (val#27 = 2)) : : +- Subquery scalar-subquery#38 : : +- *(2) HashAggregate(keys=[], functions=[max(KEY#28)], output=[max(KEY)apache#43]) : : +- Exchange SinglePartition : : +- *(1) HashAggregate(keys=[], functions=[partial_max(KEY#28)], output=[max#49]) : : +- *(1) Project [key#28] : : +- *(1) Filter (isnotnull(val#29) AND (val#29 > 0)) : : +- *(1) FileScan parquet default.explain_temp3[key#28,val#29] Batched: true, DataFilters: [isnotnull(val#29), (val#29 > 0)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/explain_temp3], PartitionFilters: [], PushedFilters: [IsNotNull(val), GreaterThan(val,0)], ReadSchema: struct<key:int,val:int> : +- *(1) FileScan parquet default.explain_temp2[key#26,val#27] Batched: true, DataFilters: [isnotnull(key#26), isnotnull(val#27), (val#27 = 2)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/explain_temp2], PartitionFilters: [], PushedFilters: [IsNotNull(key), IsNotNull(val), EqualTo(val,2)], ReadSchema: struct<key:int,val:int> +- *(1) FileScan parquet default.explain_temp1[key#2,val#3] Batched: true, DataFilters: [isnotnull(key#2), isnotnull(val#3), (val#3 > 3)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/explain_temp1], PartitionFilters: [], PushedFilters: [IsNotNull(key), IsNotNull(val), GreaterThan(val,3)], ReadSchema: struct<key:int,val:int> ``` New: ``` Project (3) +- Filter (2) +- Scan parquet default.explain_temp1 (1) (1) Scan parquet default.explain_temp1 [codegen id : 1] Output: [key#2, val#3] (2) Filter [codegen id : 1] Input : [key#2, val#3] Condition : (((isnotnull(KEY#2) AND isnotnull(val#3)) AND (KEY#2 = Subquery scalar-subquery#23)) AND (val#3 > 3)) (3) Project [codegen id : 1] Output : [key#2, val#3] Input : [key#2, val#3] ===== Subqueries ===== Subquery:1 Hosting operator id = 2 Hosting Expression = Subquery scalar-subquery#23 HashAggregate (9) +- Exchange (8) +- HashAggregate (7) +- Project (6) +- Filter (5) +- Scan parquet default.explain_temp2 (4) (4) Scan parquet default.explain_temp2 [codegen id : 1] Output: [key#26, val#27] (5) Filter [codegen id : 1] Input : [key#26, val#27] Condition : (((isnotnull(KEY#26) AND isnotnull(val#27)) AND (KEY#26 = Subquery scalar-subquery#22)) AND (val#27 = 2)) (6) Project [codegen id : 1] Output : [key#26] Input : [key#26, val#27] (7) HashAggregate [codegen id : 1] Input: [key#26] (8) Exchange Input: [max#35] (9) HashAggregate [codegen id : 2] Input: [max#35] Subquery:2 Hosting operator id = 5 Hosting Expression = Subquery scalar-subquery#22 HashAggregate (15) +- Exchange (14) +- HashAggregate (13) +- Project (12) +- Filter (11) +- Scan parquet default.explain_temp3 (10) (10) Scan parquet default.explain_temp3 [codegen id : 1] Output: [key#28, val#29] (11) Filter [codegen id : 1] Input : [key#28, val#29] Condition : (isnotnull(val#29) AND (val#29 > 0)) (12) Project [codegen id : 1] Output : [key#28] Input : [key#28, val#29] (13) HashAggregate [codegen id : 1] Input: [key#28] (14) Exchange Input: [max#37] (15) HashAggregate [codegen id : 2] Input: [max#37] ``` Note: I opened this PR as a WIP to start getting feedback. I will be on vacation starting tomorrow would not be able to immediately incorporate the feedback. I will start to work on them as soon as i can. Also, currently this PR provides a basic infrastructure for explain enhancement. The details about individual operators will be implemented in follow-up prs ## How was this patch tested? Added a new test `explain.sql` that tests basic scenarios. Need to add more tests. Closes apache#24759 from dilipbiswal/explain_feature. Authored-by: Dilip Biswal <[email protected]> Signed-off-by: Wenchen Fan <[email protected]>

### What changes were proposed in this pull request? This PR aims to support K8s image building with Java 17. Please note that we need more efforts to achieve to run all tests successfully. ### Why are the changes needed? `OpenJDK` docker hub image switches the underlying OS from `Debian` to `OracleLinux` since Java 12. So, `java_image_tag` doesn't work any longer. **BEFORE** ``` $ bin/docker-image-tool.sh -n -b java_image_tag=17 build [+] Building 0.8s (6/17) => [internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 37B 0.0s => [internal] load .dockerignore 0.0s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/library/openjdk:17 0.4s => CACHED [ 1/13] FROM docker.io/library/openjdk:17sha256:c7fffc2024948e6d75922025a17b7d81cb747fd0fe0167fef13c6fcfc72e4144 0.0s => [internal] load build context 0.1s => => transferring context: 69.25kB 0.0s => ERROR [ 2/13] RUN set -ex && sed -i 's/http:\/\/deb.$.*$/https:\/\/deb.\1/g' /etc/apt/sources.list && apt-get update && ln -s /li 0.2s ------ > [ 2/13] RUN set -ex && sed -i 's/http:\/\/deb.$.*$/https:\/\/deb.\1/g' /etc/apt/sources.list && apt-get update && ln -s /lib /lib64 && apt install -y bash tini libc6 libpam-modules krb5-user libnss3 procps && mkdir -p /opt/spark && mkdir -p /opt/spark/examples && mkdir -p /opt/spark/work-dir && touch /opt/spark/RELEASE && rm /bin/sh && ln -sv /bin/bash /bin/sh && echo "auth required pam_wheel.so use_uid" >> /etc/pam.d/su && chgrp root /etc/passwd && chmod ug+rw /etc/passwd && rm -rf /var/cache/apt/*: #5 0.230 + sed -i 's/http:\/\/deb.$.*$/https:\/\/deb.\1/g' /etc/apt/sources.list #5 0.232 sed: can't read /etc/apt/sources.list: No such file or directory ------ executor failed running [/bin/sh -c set -ex && sed -i 's/http:\/\/deb.$.*$/https:\/\/deb.\1/g' /etc/apt/sources.list && apt-get update && ln -s /lib /lib64 && apt install -y bash tini libc6 libpam-modules krb5-user libnss3 procps && mkdir -p /opt/spark && mkdir -p /opt/spark/examples && mkdir -p /opt/spark/work-dir && touch /opt/spark/RELEASE && rm /bin/sh && ln -sv /bin/bash /bin/sh && echo "auth required pam_wheel.so use_uid" >> /etc/pam.d/su && chgrp root /etc/passwd && chmod ug+rw /etc/passwd && rm -rf /var/cache/apt/*]: exit code: 2 Failed to build Spark JVM Docker image, please refer to Docker build output for details. ``` **AFTER (This PR with `-f` option)** ``` $ bin/docker-image-tool.sh -n -f kubernetes/dockerfiles/spark/Dockerfile.java17 build [+] Building 29.3s (19/19) FINISHED => [internal] load build definition from Dockerfile.java17 0.0s => => transferring dockerfile: 2.49kB 0.0s => [internal] load .dockerignore 0.0s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/library/debian:bullseye-slim 1.5s => [auth] library/debian:pull token for registry-1.docker.io 0.0s => [internal] load build context 0.1s => => transferring context: 80.54kB 0.0s => CACHED [ 1/13] FROM docker.io/library/debian:bullseye-slimsha256:dddc0f5f01db7ca3599fd8cf9821ffc4d09ec9d7d15e49019e73228ac1eee7f9 0.0s => [ 2/13] RUN set -ex && apt-get update && ln -s /lib /lib64 && apt install -y bash tini libc6 libpam-modules krb5-user libnss3 proc 25.5s => [ 3/13] COPY jars /opt/spark/jars 0.4s => [ 4/13] COPY bin /opt/spark/bin 0.0s => [ 5/13] COPY sbin /opt/spark/sbin 0.0s => [ 6/13] COPY kubernetes/dockerfiles/spark/entrypoint.sh /opt/ 0.0s => [ 7/13] COPY kubernetes/dockerfiles/spark/decom.sh /opt/ 0.0s => [ 8/13] COPY examples /opt/spark/examples 0.0s => [ 9/13] COPY kubernetes/tests /opt/spark/tests 0.0s => [10/13] COPY data /opt/spark/data 0.0s => [11/13] WORKDIR /opt/spark/work-dir 0.0s => [12/13] RUN chmod g+w /opt/spark/work-dir 0.2s => [13/13] RUN chmod a+x /opt/decom.sh 0.2s => exporting to image 1.3s => => exporting layers 1.3s => => writing image sha256:ec961d957826c9b7eb4d00e900262130fc1708aef6cb51298b627d4bc91f834b 0.0s => => naming to docker.io/library/spark 0.0s Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them ``` ### Does this PR introduce _any_ user-facing change? Yes, this is a new docker file exposed to the customer. ### How was this patch tested? Pass the K8s IT building. Closes apache#34586 from dongjoon-hyun/SPARK-37319. Authored-by: Dongjoon Hyun <[email protected]> Signed-off-by: Kousuke Saruta <[email protected]>

### What changes were proposed in this pull request? This tries to fix `do-release-docker.sh` for branch-3.2. ### Why are the changes needed? Currently the following error will occur if running the script in `branch-3.2`: ``` #5 917.4 g++ -std=gnu++14 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -Wl,-z,relro -o testthat.so init.o reassign.o test-catch.o test-example.o test-runner.o -L/usr/lib/R/lib -lR #5 917.5 installing to /usr/local/lib/R/site-library/00LOCK-testthat/00new/testthat/libs #5 917.5 ** R #5 917.5 ** inst #5 917.5 ** byte-compile and prepare package for lazy loading #5 924.4 ** help #5 924.6 *** installing help indices #5 924.7 *** copying figures #5 924.7 ** building package indices #5 924.9 ** installing vignettes #5 924.9 ** testing if installed package can be loaded from temporary location #5 925.1 ** checking absolute paths in shared objects and dynamic libraries #5 925.1 ** testing if installed package can be loaded from final location #5 925.5 ** testing if installed package keeps a record of temporary installation path #5 925.5 * DONE (testthat) #5 925.8 ERROR: dependency 'pkgdown' is not available for package 'devtools' #5 925.8 * removing '/usr/local/lib/R/site-library/devtools' #5 925.8 #5 925.8 The downloaded source packages are in #5 925.8 '/tmp/Rtmp3nJI60/downloaded_packages' #5 925.8 Warning messages: #5 925.8 1: In install.packages(c("curl", "xml2", "httr", "devtools", "testthat", : #5 925.8 installation of package 'textshaping' had non-zero exit status #5 925.8 2: In install.packages(c("curl", "xml2", "httr", "devtools", "testthat", : #5 925.8 installation of package 'ragg' had non-zero exit status #5 925.8 3: In install.packages(c("curl", "xml2", "httr", "devtools", "testthat", : #5 925.8 installation of package 'pkgdown' had non-zero exit status #5 925.8 4: In install.packages(c("curl", "xml2", "httr", "devtools", "testthat", : #5 925.8 installation of package 'devtools' had non-zero exit status #5 926.0 Error in loadNamespace(x) : there is no package called 'devtools' #5 926.0 Calls: loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart #5 926.0 Execution halted ``` The same error doesn't happen on master. I checked the diff between the two and it seems the following line: ``` $APT_INSTALL libfontconfig1-dev libharfbuzz-dev libfribidi-dev libfreetype6-dev libpng-dev libtiff5-dev libjpeg-dev && \ ``` introduced in apache#34728 made the difference. I verified that after adding the line, `do-release-docker.sh` (dry run mode) was able to finish successfully. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Manually Closes apache#38643 from sunchao/fix-docker-release. Authored-by: Chao Sun <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>

MaxGekk added 4 commits June 16, 2018 20:14

Methods returns total number of cores and executors in the cluster

9d44d7d

Update Java's Spark Context

c6b354c

Tests for number of cores and executors in the local mode

54f0436

Adding coresCount and executorsCount to PySpark

4d64582

MaxGekk added 3 commits June 18, 2018 15:08

Improving comments

79633d9

Renaming of the methods

d7e94e1

New methods for SparkR

9be566f

MaxGekk changed the title ~~[CORE] Cores and executors count~~ [CORE] Number of cores and executors in the cluster Jun 19, 2018

MaxGekk changed the title ~~[CORE] Number of cores and executors in the cluster~~ [SPARK-24591][CORE] Number of cores and executors in the cluster Jun 19, 2018

MaxGekk closed this Jun 20, 2018

MaxGekk deleted the core-count branch August 17, 2019 13:34

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[SPARK-24591][CORE] Number of cores and executors in the cluster #5

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[SPARK-24591][CORE] Number of cores and executors in the cluster #5

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