Apache Spark 4.0.0 是 4.x 系列的首个版本,标志着一个重要的里程碑,它凝聚了充满活力的开源社区的集体努力。此版本是卓越协作的证明,解决了 5100 多个问题,并获得了 390 多名个人的贡献。
Spark Connect 持续快速发展,带来了显著改进
spark.api.mode
配置,可轻松为您的应用程序启用/禁用 Spark Connect。Spark SQL 显著增强了强大的新功能,旨在提升 SQL 工作负载的表达能力和多功能性,例如 VARIANT 数据类型支持、SQL 用户定义函数、会话变量、管道语法和字符串排序规则。
PySpark 持续致力于功能广度和整体开发者体验,带来了原生绘图 API、新的 Python 数据源 API、Python UDTF 支持以及 PySpark UDF 的统一性能分析,同时还有许多其他增强功能。
结构化流(Structured Streaming)通过关键新增功能不断发展,提供了更大的控制力和更便捷的调试,特别是引入了用于更灵活状态管理的 Arbitrary State API v2 和用于更轻松调试的状态数据源。
要下载 Apache Spark 4.0.0,请访问下载页面。有关详细更改,您可以查阅 JIRA。我们还在下方整理了一份按主要模块分组的高级更改列表。
VARIANT
数据类型ShuffleCleanupMode
清理 shuffle 依赖TaskInfo.accumulables()
生命周期减少 Driver 堆内存使用spark.shuffle.service.removeShuffle
spark.metrics.appStatusSource.enabled
spark.stage.ignoreDecommissionFetchFailure
spark.checkpoint.dir
配置spark.ui.jettyStopTimeout
以设置 Jetty 服务器停止超时TransportContext
中spark.shuffle.service.db.backend
默认值更改为 ROCKSDB
StatsdSink
支持基于正则表达式的 MetricFilter
finalizeShuffleMerge
处理分离到专用线程池LiveStageMetrics.accumIdsToMetricType
的内存使用SQL MERGE
语法以启用模式演进MapType
支持 GROUP BY
GROUP BY
INSERT
添加写入选项parse_json
中存在重复键GROUP BY calendar_interval_type
WHERE
子句支持星号从句WITH OPTIONS
语法支持动态表选项EXECUTE IMMEDIATE
SQL 支持DataFrameWriterV2
支持 MergeInto
to_char
将 binary
转换为 hex, base64, utf-8 格式的 string
to_char
/to_varchar
将 datetime
转换为 string
MODE() WITHIN GROUP (ORDER BY col)
TIMESTAMPDIFF
添加别名 TIMEDIFF
to_csv
支持将数组/映射/二进制作为美观字符串array_insert()
对负索引使用 1-basedDynamicPruning
支持广播多个过滤键SizeBasedWindowFunction
插入窗口组限制节点WITH
表达式UnwrapCastInBinaryComparison
支持时间戳类型NumericType
可以在 IsNotNull
中安全地向上转换,则删除其强制转换InMemoryTableScanExec
的正确性问题OffsetAndLimit
或 LimitAndOffset
时注入 LocalLimitExec
UnsafeRow
InMemoryFileIndex
以使用 FileSystem.listFiles
APIignoreInvalidPartitionPaths
配置以跳过无效分区路径BroadcastHashJoinExec
传播分区应遵循 CoalescedHashPartitioningspark.sql.catalog.spark_catalog
支持内置魔术值TableCatalog#loadTable
应指示是否用于写入ALTER NAMESPACE ... UNSET PROPERTIES
PERCENTILE_CONT
和 PERCENTILE_DISC
hive.thrift.client.maxmessage.size
AvroDeserializer
中放宽类型提升schema_of_avro
(Scala 端)to_avro
和 from_avro
SQL 函数DatabricksDialect
以处理 SQL 类型转换QueryPlan
无锁COUNT
+ 常量折叠子查询的边缘情况NULL
COUNT
聚合的正确性问题IN
(空列表) 的正确性修复BinaryFormatter
以使二进制输出保持一致createDataFrame
和 toPandas
中的大型变量类型addArtifact(s)
metadataColumn
interruptOperation
parse_json
zeroifnull
和 nullifzero
创建 SQL 函数别名df.read
API 支持时间旅行选项Dataset.isEmpty()
clusterBy
DataFrameWriter APIgroupingSets
操作{Frame, Series}.to_hdf
Frame.to_feather
Frame.to_stata
DataFrameGroupBy.corr
json_normalize
assertDataFrameEqual
引入灵活参数convert_dtypes
, infer_objects
, set_axis
compute.ops_on_diff_frames
ps.sql
numeric_only
的默认值DataFrame.info
添加 show_counts
参数(DataFrame|Series).between_time
添加 inclusive
参数pd.date_range
添加 inclusive
参数assertPandasOnSparkEqual
DataFrame.get_dtype_counts
inplace
参数to_latex
中移除 col_space
参数Series.between
中移除 inclusive
参数的布尔输入ps.date_range
中移除 closed 参数并启用测试concat
且 axis=1
时忽略 MultiIndex
的名称GroupBy.nth
行为与最新 Pandas 匹配DataFrameGroupBy.sum
支持字符串类型列Interrupt(Tag|All)
APIBasePythonRunner
暴露指标listagg
clusterBy
DataFrameWriter APIDataFrame.mergeInto
spark.profile.render
parse_json
别名dict
对prefer_timestamp_ntz
的 TimestampNTZ
模式推断createDataFrame()
dropDuplicates
, dropDuplicatesWithinWatermark
接受可变参数[SPARK-50311] (add |
remove |
get |
clear ) Tag(s) API |
TransformWithStateInPandas
支持 deleteIfExists
sql()
支持参数化 SQLfaulthandler
成为 SQL 中 Python 执行的运行时配置DataFrame.groupingSets
DataType.fromDDL
添加到 PySparkassertSchemaEqual
引入灵活参数CalendarIntervalType
assertDataFrameEqual
支持maxBytesPerTrigger
阈值ProcessorContext
存储和检索句柄transformWithState
操作符 API 添加 Java 支持transformWithState
操作符的查询进度部分添加自定义指标transformWithState
之后链接其他有状态操作符StateStoreProvider
类query.name
的边缘情况snapshotStartBatchId
/ snapshotPartitionId
(参见 SQL)TransformWithStateExec
创建 StateSchemaV3 文件transformWithState
pyspark 基础实现和 ValueState
支持TransformWithStateExec
操作符创建 OperatorStateMetadataV2transformWithState
值状态变量的支持transformWithState
映射状态TransformWithStateInPandas
中支持 ListStatetransformWithStateInPandas
中添加计时器支持TransformWithStateInPandas
中的操作符链PruneFilters
TransformWithStateInPandas
中 ListState 的 TTL 支持transformWithState
中注册的计时器numUpdatedStateRows
/numRemovedStateRows
指标TransformWithState
操作符支持 Avro 编码handleExpiredTimer
函数handleInitialState
TransformWithStateInPandas
TransformWithState
的模式演进StringIndexer
支持嵌套输入列ThreadInfo
改进SQLSTATE
spark.eventLog.rolling.enabled
WebUITab
添加 displayOrder
变量以指定标签页的显示顺序raise_error
改进ThreadStackTrace
添加“daemon”、“priority”LiveStageMetrics.accumIdsToMetricType
的内存使用SparkThrowable
proto 消息中包含 QueryContext
SQLSTATE
成为强制项SQLSTATE
SparkThrowable
proto 消息中包含 SqlState
spark.eventLog.rolling.enabled
spark.master.ui.historyServerUrl
ui-test
模块来测试 UI JavaScript 代码spark.ui.prometheus.enabled
DataFrameQueryContext
isStreaming
标记jobGroupId
添加到 SparkListenerSQLExecutionStart
getCondition
并弃用 getErrorClass
pyspark.ml
spark.api.mode
以更好地兼容 Spark ClassicDataFrame.freqItems
和 DataFrame.stat.freqItems
DataFrame.sampleBy
和 DataFrame.stat.sampleBy
DataFrame.stat.cov
DataFrame.stat.corr
DataFrame.approxQuantile
和 DataFrame.stat.approxQuantile
Window
函数GroupedData.{min, max, avg, sum}
rollup
, cube
, 和 pivot
DataFrame.randomSplit
DataFrame.to
format_number
函数SparkSession.stop
Column.astype
Column.between
call_udf
函数unwrap_udt
函数getItem
, getField
, getitem
等)Column.name
Column.{withField, dropFields}
GroupedData.mean
log(arg1, arg2)
WithRelations
实现 SQLStringFormatter
DataFrameStatFunction
s 支持 bloomFilter
函数merge_asof
to_series()
支持 MultiIndex
Dataset.explode
添加到 Spark Connect Scala 客户端SPARK_REMOTE
连接字符串中支持指定 session_id
SparkSession.Builder
方法DataStreamWriter.foreachBatch(VoidFunction2)
from_xml
和 schema_of_xml
添加到 pyspark、Spark Connect 和 SQL 函数中Dataset.metadataColumn
DataFrame.foreach
DataFrame.foreachPartition
floor
/round
/bround
现在接受 Column 类型比例Series.empty
sql()
支持 map/array 参数from_xml
支持 StructType
模式sql()
支持 map 和 array 参数SPARK_CONNECT_USER_AGENT
环境变量并包含特定于环境的属性SparkcConnect addArtifact
添加 ivy URI 支持grpcio\*
升级到 1.59.3 以支持 Python 3.12DataFrame.groupingSets
Dataset.groupingSets
ArtifactManager
API 以支持自定义目标目录groupBy
和 cogroup
中添加 applyInArrow
mapInPandas
/mapInArrow
支持 ResourceProfile
dumpPerfProfile
和 dumpMemoryProfiles
方法spark.profile.show
/.dump
spark.conf
添加 getAll
以实现与 Scala 的功能对等spark.profile.clear
Dataset.observe
ForEachBatch
工作进程支持 SparkSession 的序列化SparkConnectPlanner
中向插件暴露会话Checkpoint
和 localCheckpoint
toColumn
APIarray_remove
, array_position
等)的参数ExecutionInfo
支持DataFrame.mergeInto
支持–remote
支持)addArtifact
APISparkSessionBuilder
接口RuntimeConfig
接口DataStreamReader
接口StreamingQueryManager
接口DataStreamWriter
接口spark.ml
createDataFrame
的 verifySchema
参数StructType.toDDL
pyspark.ml.connect
Column.isNaN
库名称 | 版本变更 |
---|---|
activation | 1.1.1 -> 已移除 |
aircompressor | 0.27 -> 2.0.2 |
algebra | 2.0.1 -> 2.8.0 |
aliyun-sdk-oss | 3.13.0 -> 3.13.2 |
antlr4-runtime | 4.9.3 -> 4.13.1 |
aopalliance-repackaged | 2.6.1 -> 3.0.6 |
arrow-format | 12.0.1 -> 18.1.0 |
arrow-memory-core | 12.0.1 -> 18.1.0 |
arrow-memory-netty | 12.0.1 -> 18.1.0 |
arrow-memory-netty-buffer-patch | -> 18.1.0 (新增) |
arrow-vector | 12.0.1 -> 18.1.0 |
audience-annotations | 0.5.0 -> 0.12.0 |
avro | 1.11.4 -> 1.12.0 |
avro-ipc | 1.11.4 -> 1.12.0 |
avro-mapred | 1.11.4 -> 1.12.0 |
aws-java-sdk-bundle | 1.12.262 -> 已移除 |
bcprov-jdk18on | -> 1.80 (新增) |
bonecp | 0.8.0.RELEASE -> 已移除 |
bundle | -> 2.25.53 (新增) |
cats-kernel | 2.1.1 -> 2.8.0 |
checker-qual | -> 3.43.0 (新增) |
chill | 0.10.0 -> 0.10.0 |
commons-cli | 1.5.0 -> 1.9.0 |
commons-codec | 1.16.1 -> 1.17.2 |
commons-compress | 1.23.0 -> 1.27.1 |
commons-io | 2.16.1 -> 2.18.0 |
commons-lang3 | 3.12.0 -> 3.17.0 |
commons-text | 1.10.0 -> 1.13.0 |
curator-client | 2.13.0 -> 5.7.1 |
curator-framework | 2.13.0 -> 5.7.1 |
curator-recipes | 2.13.0 -> 5.7.1 |
datasketches-java | 3.3.0 -> 6.1.1 |
datasketches-memory | 2.1.0 -> 3.0.2 |
derby | 10.14.2.0 -> 10.16.1.1 |
derbyshared | -> 10.16.1.1 (新增) |
derbytools | -> 10.16.1.1 (新增) |
error_prone_annotations | -> 2.36.0 (新增) |
esdk-obs-java | -> 3.20.4.2 (新增) |
failureaccess | -> 1.0.2 (新增) |
flatbuffers-java | 1.12.0 -> 24.3.25 |
gcs-connector | hadoop3-2.2.14 -> hadoop3-2.2.26 |
gson | 2.2.4 -> 2.11.0 |
guava | 14.0.1 -> 33.4.0-jre |
hadoop-aliyun | 3.3.4 -> 3.4.1 |
hadoop-annotations | 3.3.4 -> 3.4.1 |
hadoop-aws | 3.3.4 -> 3.4.1 |
hadoop-azure | 3.3.4 -> 3.4.1 |
hadoop-azure-datalake | 3.3.4 -> 3.4.1 |
hadoop-client-api | 3.3.4 -> 3.4.1 |
hadoop-client-runtime | 3.3.4 -> 3.4.1 |
hadoop-cloud-storage | 3.3.4 -> 3.4.1 |
hadoop-huaweicloud | -> 3.4.1 (新增) |
hadoop-openstack | 3.3.4 -> 已移除 |
hadoop-shaded-guava | 1.1.1 -> 1.3.0 |
hadoop-yarn-server-web-proxy | 3.3.4 -> 已移除 |
hive-beeline | 2.3.9 -> 2.3.10 |
hive-cli | 2.3.9 -> 2.3.10 |
hive-common | 2.3.9 -> 2.3.10 |
hive-exec | 2.3.9 -> 2.3.10 |
hive-jdbc | 2.3.9 -> 2.3.10 |
hive-llap-common | 2.3.9 -> 已移除 |
hive-metastore | 2.3.9 -> 2.3.10 |
hive-serde | 2.3.9 -> 2.3.10 |
hive-service-rpc | 3.1.3 -> 4.0.0 |
hive-shims | 2.3.9 -> 2.3.10 |
hive-shims-0.23 | 2.3.9 -> 2.3.10 |
hive-shims-common | 2.3.9 -> 2.3.10 |
hive-shims-scheduler | 2.3.9 -> 2.3.10 |
hk2-api | 2.6.1 -> 3.0.6 |
hk2-locator | 2.6.1 -> 3.0.6 |
hk2-utils | 2.6.1 -> 3.0.6 |
icu4j | -> 76.1 (新增) |
istack-commons-runtime | 3.0.8 -> 4.1.2 |
ivy | 2.5.1 -> 2.5.3 |
j2objc-annotations | -> 3.0.0 (新增) |
jackson-annotations | 2.15.2 -> 2.18.2 |
jackson-core | 2.15.2 -> 2.18.2 |
jackson-core-asl | 1.9.13 -> 已移除 |
jackson-databind | 2.15.2 -> 2.18.2 |
jackson-dataformat-cbor | 2.15.2 -> 2.18.2 |
jackson-dataformat-yaml | 2.15.2 -> 2.18.2 |
jackson-datatype-jsr310 | 2.15.2 -> 2.18.2 |
jackson-mapper-asl | 1.9.13 -> 已移除 |
jackson-module-scala | 2.15.2 -> 2.18.2 |
jakarta.activation-api | -> 2.1.3 (新增) |
jakarta.annotation-api | 1.3.5 -> 2.1.1 |
jakarta.inject | 2.6.1 -> 已移除 |
jakarta.inject-api | -> 2.0.1 (新增) |
jakarta.servlet-api | 4.0.3 -> 5.0.0 |
jakarta.validation-api | 2.0.2 -> 3.0.2 |
jakarta.ws.rs-api | 2.1.6 -> 3.0.0 |
jakarta.xml.bind-api | 2.3.2 -> 4.0.2 |
java-diff-utils | -> 4.15 (新增) |
java-xmlbuilder | -> 1.2 (新增) |
javassist | 3.29.2-GA -> 3.30.2-GA |
javax.servlet-api | 4.0.1 -> 已移除 |
jaxb-api | 2.2.11 -> 已移除 |
jaxb-core | -> 4.0.5 (新增) |
jaxb-runtime | 2.3.2 -> 4.0.5 |
jcl-over-slf4j | 2.0.7 -> 2.0.16 |
jersey-client | 2.40 -> 3.0.16 |
jersey-common | 2.40 -> 3.0.16 |
jersey-container-servlet | 2.40 -> 3.0.16 |
jersey-container-servlet-core | 2.40 -> 3.0.16 |
jersey-hk2 | 2.40 -> 3.0.16 |
jersey-server | 2.40 -> 3.0.16 |
jettison | 1.1 -> 1.5.4 |
jetty-util | 9.4.56.v20240826 -> 11.0.24 |
jetty-util-ajax | 9.4.56.v20240826 -> 11.0.24 |
jjwt-api | -> 0.12.6 (新增) |
jjwt-impl | -> 0.12.6 (新增) |
jjwt-jackson | -> 0.12.6 (新增) |
jline | 2.14.6 -> 3.27.1 |
joda-time | 2.12.5 -> 2.13.0 |
json4s-ast | 3.7.0-M11 -> 4.0.7 |
json4s-core | 3.7.0-M11 -> 4.0.7 |
json4s-jackson | 3.7.0-M11 -> 4.0.7 |
json4s-jackson-core | -> 4.0.7 (新增) |
json4s-scalap | 3.7.0-M11 -> 4.0.7 |
jul-to-slf4j | 2.0.7 -> 2.0.16 |
kryo-shaded | 4.0.2 -> 4.0.3 |
kubernetes-client | 6.7.2 -> 7.1.0 |
kubernetes-client-api | 6.7.2 -> 7.1.0 |
kubernetes-httpclient-okhttp | 6.7.2 -> 已移除 |
kubernetes-httpclient-vertx | -> 7.1.0 (新增) |
kubernetes-model-admissionregistration | 6.7.2 -> 7.1.0 |
kubernetes-model-apiextensions | 6.7.2 -> 7.1.0 |
kubernetes-model-apps | 6.7.2 -> 7.1.0 |
kubernetes-model-autoscaling | 6.7.2 -> 7.1.0 |
kubernetes-model-batch | 6.7.2 -> 7.1.0 |
kubernetes-model-certificates | 6.7.2 -> 7.1.0 |
kubernetes-model-common | 6.7.2 -> 7.1.0 |
kubernetes-model-coordination | 6.7.2 -> 7.1.0 |
kubernetes-model-core | 6.7.2 -> 7.1.0 |
kubernetes-model-discovery | 6.7.2 -> 7.1.0 |
kubernetes-model-events | 6.7.2 -> 7.1.0 |
kubernetes-model-extensions | 6.7.2 -> 7.1.0 |
kubernetes-model-flowcontrol | 6.7.2 -> 7.1.0 |
kubernetes-model-gatewayapi | 6.7.2 -> 7.1.0 |
kubernetes-model-metrics | 6.7.2 -> 7.1.0 |
kubernetes-model-networking | 6.7.2 -> 7.1.0 |
kubernetes-model-node | 6.7.2 -> 7.1.0 |
kubernetes-model-policy | 6.7.2 -> 7.1.0 |
kubernetes-model-rbac | 6.7.2 -> 7.1.0 |
kubernetes-model-resource | 6.7.2 -> 7.1.0 |
kubernetes-model-scheduling | 6.7.2 -> 7.1.0 |
kubernetes-model-storageclass | 6.7.2 -> 7.1.0 |
libthrift | 0.12.0 -> 0.16.0 |
listenablefuture | -> 9999.0-empty-to-avoid-conflict-with-guava (新增) |
log4j-1.2-api | 2.20.0 -> 2.24.3 |
log4j-api | 2.20.0 -> 2.24.3 |
log4j-core | 2.20.0 -> 2.24.3 |
log4j-layout-template-json | -> 2.24.3 (新增) |
log4j-slf4j2-impl | 2.20.0 -> 2.24.3 |
logging-interceptor | 3.12.12 -> 已移除 |
mesos | 1.4.3 -> 已移除 |
metrics-core | 4.2.19 -> 4.2.30 |
metrics-graphite | 4.2.19 -> 4.2.30 |
metrics-jmx | 4.2.19 -> 4.2.30 |
metrics-json | 4.2.19 -> 4.2.30 |
metrics-jvm | 4.2.19 -> 4.2.30 |
netty-all | 4.1.96.Final -> 4.1.118.Final |
netty-buffer | 4.1.96.Final -> 4.1.118.Final |
netty-codec | 4.1.96.Final -> 4.1.118.Final |
netty-codec-dns | -> 4.1.118.Final (新增) |
netty-codec-http | 4.1.96.Final -> 4.1.118.Final |
netty-codec-http2 | 4.1.96.Final -> 4.1.118.Final |
netty-codec-socks | 4.1.96.Final -> 4.1.118.Final |
netty-common | 4.1.96.Final -> 4.1.118.Final |
netty-handler | 4.1.96.Final -> 4.1.118.Final |
netty-handler-proxy | 4.1.96.Final -> 4.1.118.Final |
netty-resolver | 4.1.96.Final -> 4.1.118.Final |
netty-resolver-dns | -> 4.1.118.Final (新增) |
netty-tcnative-boringssl-static | -> 2.0.70.Final (新增) |
netty-tcnative-classes | -> 2.0.70.Final (新增) |
netty-transport | 4.1.96.Final -> 4.1.118.Final |
netty-transport-classes-epoll | 4.1.96.Final -> 4.1.118.Final |
netty-transport-classes-kqueue | 4.1.96.Final -> 4.1.118.Final |
netty-transport-native-epoll | 4.1.96.Final -> 4.1.118.Final |
netty-transport-native-kqueue | 4.1.96.Final -> 4.1.118.Final |
netty-transport-native-unix-common | 4.1.96.Final -> 4.1.118.Final |
orc-core | 1.9.6 -> 2.1.2 |
orc-format | -> 1.1.0 (新增) |
orc-mapreduce | 1.9.6 -> 2.1.2 |
orc-shims | 1.9.6 -> 2.1.2 |
parquet-column | 1.13.1 -> 1.15.2 |
parquet-common | 1.13.1 -> 1.15.2 |
parquet-encoding | 1.13.1 -> 1.15.2 |
parquet-format-structures | 1.13.1 -> 1.15.2 |
parquet-hadoop | 1.13.1 -> 1.15.2 |
parquet-jackson | 1.13.1 -> 1.15.2 |
pickle | 1.3 -> 1.5 |
py4j | 0.10.9.7 -> 0.10.9.9 |
rocksdbjni | 8.3.2 -> 9.8.4 |
RoaringBitmap | 0.9.45 -> 1.3.0 |
scala-collection-compat | 2.7.0 -> 2.7.0 |
scala-compiler | 2.12.18 -> 2.13.16 |
scala-library | 2.12.18 -> 2.13.16 |
scala-parallel-collections | -> 1.2.0 (新增) |
scala-parser-combinators | 2.3.0 -> 2.4.0 |
scala-reflect | 2.12.18 -> 2.13.16 |
scala-xml | 2.1.0 -> 2.3.0 |
shims | 0.9.45 -> 已移除 |
slf4j-api | 2.0.7 -> 2.0.16 |
snakeyaml | 2.0 -> 2.3 |
snakeyaml-engine | 2.6 -> 2.9 |
snappy-java | 1.1.10.5 -> 1.1.10.7 |
spire | 0.17.0 -> 0.18.0 |
spire-macros | 0.17.0 -> 0.18.0 |
spire-platform | 0.17.0 -> 0.18.0 |
spire-util | 0.17.0 -> 0.18.0 |
stream | 2.9.6 -> 2.9.8 |
threeten-extra | 1.7.1 -> 1.8.0 |
tink | 1.9.0 -> 1.16.0 |
transaction-api | 1.1 -> 已移除 |
vertx-auth-common | -> 4.5.12 (新增) |
vertx-core | -> 4.5.12 (新增) |
vertx-web-client | -> 4.5.12 (新增) |
vertx-web-common | -> 4.5.12 (新增) |
wildfly-openssl | 1.0.7.Final -> 2.2.5.Final |
xbean-asm9-shaded | 4.23 -> 4.26 |
xmlschema-core | -> 2.3.1 (新增) |
xz | 1.9 -> 1.10 |
zjsonpatch | 0.3.0 -> 7.1.0 |
zookeeper | 3.6.3 -> 3.9.3 |
zookeeper-jute | 3.6.3 -> 3.9.3 |
zstd-jni | 1.5.5-4 -> 1.5.6-9 |
最后但同样重要的是,没有以下贡献者的支持,此次发布是不可能完成的:Aleksei Shishkin, Adam Binford, Aiden Dong, Albert Ziegler, Alden Lau, Aleksandar Tomic, Alessandro Bellina, Alex Khakhlyuk, Alice Sayutina, Allison Wang, Amanda Liu, Amy Tsai, Andrej Gobeljić, Andrew Xue, Andrey Gubichev, Andy Lam, Anish Shrigondekar, Ankur Dave, Anthony Wainer, Anton Lykov, Anton Okolnychyi, Arzav Jain, Attila Zsolt Piros, Avery Qi, Babatunde Micheal Okutubo, Bhuwan Sahni, Bill Schneider, BingKun Pan, Binjie Yang, Biruk Tesfaye, Bjørn Jørgensen, Bo Gao, Bo Xiong, Bo Zhang, Bobby Wang, Bowen Liang, Bruce Robbins, Burak Yavuz, Carter Fendley, Chaerim Yeo, Changgyoo Park, Chao Sun, Chaoqin Li, Cheng Pan, Chenghao Lyu, Chenhao Li, Chenyu Zheng, Chirag Singh, Chloe He, Chris Nauroth, Chris Twiner, Christos Stavrakakis, Cosmin Dumitru, Costas Zarifis, Cuong Nguyen, Daniel Tenedorio, David Cashman, David Milicevic, Davin Tjong, Deepayan Patra, Dejan Krakovic, Dereck Li, Desmond Cheong, Dmitry Zhyhimont, Dmytro Tsyliuryk, Dongjoon Hyun, Dušan Tišma, Eduard Tudenhoefner, Emil Ejbyfeldt, Enrico Minack, Enrique Rebollo, Eren Avsarogullari, Eric Blanco, Eric Marnadi, Eric Maynard, Evan Wu, Fanyue Xia, Fokko Driesprong, Frank Wong, Fredrik Klauss, Gabor Roczei, Gabriel Dahia, Garland Zhang, Gene Pang, Gengliang Wang, Giambattista Bloisi, Gideon P, Gideon Potok, Guihua Wen, Gurpreet Singh, Haejoon Lee, Haiyang Sun, Hannah Amundson, Hanzhong Yuan, Haoyu Qi, Haoyu Weng, Harsh Motwani, Harsh Panchal, Harunobu Daikoku, Hasnain Lakhani, Hayssam Saleh, Helin Jin, Herman Van Hovell, Himadri Pal, HiuFung Kwok, Holden Karau, Huanli Wang, Huaxin Gao, Hubert Kaczmarczyk, Huw Campbell, Hyukjin Kwon, Ian Cook, Ismaël Mejía, Ivan Jevtic, Ivan Mitic, Ivan Sadikov, Izek Greenfield, Jack Chen, Jackie Zhang, Jacob Zheng, Jared Wang, Jason Li, Jean-Francois Desjeans Gauthier, Jerry Peng, Jerry Zhou, Jia Fan, Jiaan Geng, Jiaheng Tang, Jiale Tan, Jiashen Cao, Jiayi Liu, Jim Baugh, Jing Zhan, Jinhai Chen, Johan Lasperas, Jonathan Albrecht, Josh Rosen, Jovan Markovic, Jovan Pavlovic, João Correia, Julek Sompolski, Juliusz Sompolski, Junbo Wang, Junfan Zhang, Jungtaek Lim, Junqing Li, Junyu Chen, Justontheway, Kaashif Hymabaccus, Kaifei Yi, Karim Ramadan, Kaz, Kazuyuki Tanimura, Kelvin Jiang, Kent Yao, Kevin Nacios, Khalid Mammadov, Kivinsae Fang, Knight Chess, Kousuke Saruta, Kris Mok, Kun Wan, Lantao Jin, Liang-Chi Hsieh, Lingkai Kong, Linhong Liu, Liu Cao, Livia Zhu, Longfei Jiang, Luca Canali, Lucy Yao, Maciej Szymkiewicz, Mahesh Kumar Behera, Maksim Konstantinov, Mark Andreev, Mark Jarvin, Marko Ilić, Marko Nikacevic, Martin Grund, Maryann Xue, Mathew Jacob, Matt Braymer-Hayes, Max Gekk, Mayur Bhosale, Menelaos Karavelas, Mengran Lan, Mete Can Akar, Michael Chen, Michael Zhang, Michał Kimborowicz, Mihailo Aleksic, Mihailo Milosevic, Mihailo Timotic, Mikhail Nikoliukin, Milan Cupac, Milan Dankovic, Milan Stefanovic, Min Zhao, Mingkang Li, Mingliang Zhu, Momcilo Mrkaic, Motoyuki Kimura, Mridul Muralidharan, Nebojsa Savic, Neil Ramaswamy, Nemanja Boric, Nemanja Petrovic, Nicholas Chammas, Nicholas Jiang, Nick Young, Nicolas Fraison, Nikhil Sheoran, Nikola Mandic, Niranjan Jayakar, Ole Sasse, Oleksiy Dyagilev, Pablo Langa, Paddy Xu, Parth Chandra, Parth Upadhyay, Patrick Marx, Paul Staab, Petar Vasiljevic, Peter Kaszt, Peter Toth, Phil Dakin, Phil Walker, Ping Xu, Prashanth Menon, Prathit Malik, Qi Tan, Qi Zhu, Qiang Yang, Qingbo Jiao, Raghu Angadi, Rameshkrishnan Muthusamy, Rastko Sapic, Ravi Jain, Raza Jafri, Reza Safi, Richard Chen, Riya Verma, Rob Reeves, Robert (Bobby) Evans, Robert Dillitz, Ron Serruya, Rui Wang, Ruifeng Zheng, Russell Spitzer, Ruzel Ibragimov, Saidatt Sinai Amonkar, Saksham Garg, Sakthi, Sakthi Vel, Sander Goos, Sandip Agarwala, Scott Schenkein, Sean Owen, Sebastian Hillig, Serge Rielau, Shaofeng Li, Shaoyun Chen, Shu Wang, Shuiahu Xie, Shujing Yang, Shuyan Zhang, Shuyou Dong, Siying Dong, Stefan Bukorovic, Stefan Kandic, Steve Loughran, Steve Weis, Stevo Mitric, Subham Singhal, Sumeet Varma, Sunan Xiang, Supun Nakandala, Szehon Ho, Szilard Miko, Takawa Akirayo, Takuya Ueshin, Tanel Kiis, Tao Li, Ted Jenks, Tengfei Huang, Terry Kim, Terry Wang, Thang Long VU, Thomas Hart, Tianhan Hu, Tigran Manasyan, Tim Lee, Tinglong Liao, Tom Sisso, Tom Van Bussel, Tong Wei, Tuan Pham, Uros Bojanic, Uros Stankovic, Utkarsh Agarwal, Vadim Patsalo, Valentin, Venkata Sai Akhil Gudesa, Viktor Lučić, Vinod KC, Vitalii Li, Vlad Rozov, Vladan Vasić, Vladimir Golubev, Vsevolod Stepanov, Wan Kun, Warren Zhu, Wei Guo, Wei Liu, Weichen Xu, Weitao Wen, Wenchen Fan, Willi Raschkowski, William Hyun, Wonseok Yang, Xi Chen, Xi Liang, Xi Lyu, Xianyang Liu, Xiaodong Huan, Xiaoguang Sun, Xiaoping Huang, Xiduo You, Xingbo Jiang, Xinrong Meng, Xinyi Yu, Xinyu Zou, Yanan Xin, Yang Jie, Yannis Sismanis, Yanxiang Cui, Yaohua Zhao, Yi Wu, Yi Zhu, Yifei Wei, Yifeng Hua, Yihong He, Yongyuan Liang, Yousof Hosny, Yu Xu, Yuanjian Li, Yuchen Liu, Yuchuan Huang, Yuming Wang, Zachary Steudel, Zamil Majdy, Zerui Bao, Zeyu Chen, Zhang Liang, Zhen Li, Zhen Wang, Zhihong Yu, Zhiming She, Zhipeng Mao, Zhou JIANG, Zhou Yifan, Zhyhimont Dmitry, Ziqi Liu, Zongze Li, advancedxy, alex35736, antban, camilesing, chenyu, dengziming, dev-lpq, hongshaoyang, huangsheng, huangzhir, jjayadeep06, junyuc25, laglangyue, morvenhuang, rorueda, xin-aurora, xleoken, xunxunmimi5577, yabola, zekai-li