Is Spark SQL able to auto update partition stats like hive by setting hive.stats.autogather=true

[疯狂的哈丘]

`spark.sql.statistics.size.autoUpdate.enabled` is only work for table stats update.But for partition stats,I can only update it with `ANALYZE TABLE tablename PARTITION(part) COMPUTE STATISTICS`.So is Spark SQL able to auto update partition stats like hive by setting hive.stats.autogather=true?

[Mich Talebzadeh]

I am afraid not supported for spark sql

see Automatic Statistics Collection For Better Query Performance | Qubole

I tried it as below

spark = SparkSession.builder \
        .appName("app1") \
        .enableHiveSupport() \
        .getOrCreate()
# Hive settings
settings = [
    ("hive.exec.dynamic.partition", "true"),
    ("hive.exec.dynamic.partition.mode", "nonstrict"),
    ("spark.sql.orc.filterPushdown", "true"),
    ("hive.msck.path.validation", "ignore"),
    ("spark.sql.caseSensitive", "true"),
    ("spark.speculation", "false"),
    ("hive.metastore.authorization.storage.checks", "false"),
    ("hive.metastore.client.connect.retry.delay", "5s"),
    ("hive.metastore.client.socket.timeout", "1800s"),
    ("hive.metastore.connect.retries", "12"),
    ("hive.metastore.execute.setugi", "false"),
    ("hive.metastore.failure.retries", "12"),
    ("hive.metastore.schema.verification", "false"),
    ("hive.metastore.schema.verification.record.version", "false"),
    ("hive.metastore.server.max.threads", "100000"),
    ("hive.metastore.authorization.storage.checks", "/apps/hive/warehouse")
    ("hive.stats.autogather", "true")
]
spark.sparkContext._conf.setAll(settings)

got this error

    ("hive.stats.autogather", "true")

TypeError: 'tuple' object is not callable

On Fri, 18 Dec 2020 at 06:00, 疯狂的哈丘 <[hidden email]> wrote:

`spark.sql.statistics.size.autoUpdate.enabled` is only work for table stats update.But for partition stats,I can only update it with `ANALYZE TABLE tablename PARTITION(part) COMPUTE STATISTICS`.So is Spark SQL able to auto update partition stats like hive by setting hive.stats.autogather=true?

[Mich Talebzadeh]

Hi,

A fellow forum member kindly spotted a lousy error of mine, where a comma was missing at the line above the red line.

This appears to be accepted

spark = SparkSession.builder \
        .appName("app1") \
        .enableHiveSupport() \
        .getOrCreate()
# Hive settings
settings = [
    ("hive.exec.dynamic.partition", "true"),
    ("hive.exec.dynamic.partition.mode", "nonstrict"),
    ("spark.sql.orc.filterPushdown", "true"),
    ("hive.msck.path.validation", "ignore"),
    ("spark.sql.caseSensitive", "true"),
    ("spark.speculation", "false"),
    ("hive.metastore.authorization.storage.checks", "false"),
    ("hive.metastore.client.connect.retry.delay", "5s"),
    ("hive.metastore.client.socket.timeout", "1800s"),
    ("hive.metastore.connect.retries", "12"),
    ("hive.metastore.execute.setugi", "false"),
    ("hive.metastore.failure.retries", "12"),
    ("hive.metastore.schema.verification", "false"),
    ("hive.metastore.schema.verification.record.version", "false"),
    ("hive.metastore.server.max.threads", "100000"),
    ("hive.metastore.authorization.storage.checks", "/apps/hive/warehouse"),
    ("hive.stats.autogather", "true")
]
spark.sparkContext._conf.setAll(settings)

However, I have not tested it myself.

HTH

On Fri, 18 Dec 2020 at 18:53, Mich Talebzadeh <[hidden email]> wrote:

I am afraid not supported for spark sql

see Automatic Statistics Collection For Better Query Performance | Qubole

I tried it as below

spark = SparkSession.builder \
        .appName("app1") \
        .enableHiveSupport() \
        .getOrCreate()
# Hive settings
settings = [
    ("hive.exec.dynamic.partition", "true"),
    ("hive.exec.dynamic.partition.mode", "nonstrict"),
    ("spark.sql.orc.filterPushdown", "true"),
    ("hive.msck.path.validation", "ignore"),
    ("spark.sql.caseSensitive", "true"),
    ("spark.speculation", "false"),
    ("hive.metastore.authorization.storage.checks", "false"),
    ("hive.metastore.client.connect.retry.delay", "5s"),
    ("hive.metastore.client.socket.timeout", "1800s"),
    ("hive.metastore.connect.retries", "12"),
    ("hive.metastore.execute.setugi", "false"),
    ("hive.metastore.failure.retries", "12"),
    ("hive.metastore.schema.verification", "false"),
    ("hive.metastore.schema.verification.record.version", "false"),
    ("hive.metastore.server.max.threads", "100000"),
    ("hive.metastore.authorization.storage.checks", "/apps/hive/warehouse")
    ("hive.stats.autogather", "true")
]
spark.sparkContext._conf.setAll(settings)

got this error

    ("hive.stats.autogather", "true")

TypeError: 'tuple' object is not callable

HTH

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On Fri, 18 Dec 2020 at 06:00, 疯狂的哈丘 <[hidden email]> wrote:

`spark.sql.statistics.size.autoUpdate.enabled` is only work for table stats update.But for partition stats,I can only update it with `ANALYZE TABLE tablename PARTITION(part) COMPUTE STATISTICS`.So is Spark SQL able to auto update partition stats like hive by setting hive.stats.autogather=true?