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
Mich
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On Fri, 18 Dec 2020 at 18:53, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> I am afraid not supported for spark sql
>
> see Automatic Statistics Collection For Better Query Performance | Qubole
> <https://www.qubole.com/blog/automatic-statistics-collection-better-query-performance/>
>
> 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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> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
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>
> On Fri, 18 Dec 2020 at 06:00, 疯狂的哈丘 <kongt...@sina.com> 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?
>>
>>
