WIP: Add FunctionCatalog API #3
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rdblue
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Oct 29, 2019
### What changes were proposed in this pull request? `org.apache.spark.sql.kafka010.KafkaDelegationTokenSuite` failed lately. After had a look at the logs it just shows the following fact without any details: ``` Caused by: sbt.ForkMain$ForkError: sun.security.krb5.KrbException: Server not found in Kerberos database (7) - Server not found in Kerberos database ``` Since the issue is intermittent and not able to reproduce it we should add more debug information and wait for reproduction with the extended logs. ### Why are the changes needed? Failing test doesn't give enough debug information. ### Does this PR introduce any user-facing change? No. ### How was this patch tested? I've started the test manually and checked that such additional debug messages show up: ``` >>> KrbApReq: APOptions are 00000000 00000000 00000000 00000000 >>> EType: sun.security.krb5.internal.crypto.Aes128CtsHmacSha1EType Looking for keys for: kafka/localhostEXAMPLE.COM Added key: 17version: 0 Added key: 23version: 0 Added key: 16version: 0 Found unsupported keytype (3) for kafka/localhostEXAMPLE.COM >>> EType: sun.security.krb5.internal.crypto.Aes128CtsHmacSha1EType Using builtin default etypes for permitted_enctypes default etypes for permitted_enctypes: 17 16 23. >>> EType: sun.security.krb5.internal.crypto.Aes128CtsHmacSha1EType MemoryCache: add 1571936500/174770/16C565221B70AAB2BEFE31A83D13A2F4/client/localhostEXAMPLE.COM to client/localhostEXAMPLE.COM|kafka/localhostEXAMPLE.COM MemoryCache: Existing AuthList: #3: 1571936493/200803/8CD70D280B0862C5DA1FF901ECAD39FE/client/localhostEXAMPLE.COM #2: 1571936499/985009/BAD33290D079DD4E3579A8686EC326B7/client/localhostEXAMPLE.COM #1: 1571936499/995208/B76B9D78A9BE283AC78340157107FD40/client/localhostEXAMPLE.COM ``` Closes apache#26252 from gaborgsomogyi/SPARK-29580. Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
rdblue
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Jul 3, 2020
### What changes were proposed in this pull request?
This PR proposes to make `PythonFunction` holds `Seq[Byte]` instead of `Array[Byte]` to be able to compare if the byte array has the same values for the cache manager.
### Why are the changes needed?
Currently the cache manager doesn't use the cache for `udf` if the `udf` is created again even if the functions is the same.
```py
>>> func = lambda x: x
>>> df = spark.range(1)
>>> df.select(udf(func)("id")).cache()
```
```py
>>> df.select(udf(func)("id")).explain()
== Physical Plan ==
*(2) Project [pythonUDF0#14 AS <lambda>(id)apache#12]
+- BatchEvalPython [<lambda>(id#0L)], [pythonUDF0#14]
+- *(1) Range (0, 1, step=1, splits=12)
```
This is because `PythonFunction` holds `Array[Byte]`, and `equals` method of array equals only when the both array is the same instance.
### Does this PR introduce _any_ user-facing change?
Yes, if the user reuse the Python function for the UDF, the cache manager will detect the same function and use the cache for it.
### How was this patch tested?
I added a test case and manually.
```py
>>> df.select(udf(func)("id")).explain()
== Physical Plan ==
InMemoryTableScan [<lambda>(id)apache#12]
+- InMemoryRelation [<lambda>(id)apache#12], StorageLevel(disk, memory, deserialized, 1 replicas)
+- *(2) Project [pythonUDF0#5 AS <lambda>(id)#3]
+- BatchEvalPython [<lambda>(id#0L)], [pythonUDF0#5]
+- *(1) Range (0, 1, step=1, splits=12)
```
Closes apache#28774 from ueshin/issues/SPARK-31945/udf_cache.
Authored-by: Takuya UESHIN <ueshin@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
rdblue
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Oct 14, 2020
… without WindowExpression
### What changes were proposed in this pull request?
Add WindowFunction check at `CheckAnalysis`.
### Why are the changes needed?
Provide friendly error msg.
**BEFORE**
```scala
scala> sql("select rank() from values(1)").show
java.lang.UnsupportedOperationException: Cannot generate code for expression: rank()
```
**AFTER**
```scala
scala> sql("select rank() from values(1)").show
org.apache.spark.sql.AnalysisException: Window function rank() requires an OVER clause.;;
Project [rank() AS RANK()#3]
+- LocalRelation [col1#2]
```
### Does this PR introduce _any_ user-facing change?
Yes, user wiill be given a better error msg.
### How was this patch tested?
Pass the newly added UT.
Closes apache#28808 from ulysses-you/SPARK-31975.
Authored-by: ulysses <youxiduo@weidian.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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This adds a new catalog interface,
FunctionCatalog, that can load functions. All functions are loaded asUnboundFuctionandbindis called to bind the function to a specific input type.For example,
Plusmay have two implementations:long add(long, long)andString concat(String, String). When the input type is known, the function should be bound to eitherstruct<a:string,b:string>orstruct<a:bigint,b:bigint>. Any other type would be rejected by throwingUnsupportedOperationExceptionfrombind.The result of binding a function to an input type is a
BoundFunctionthat can return its result type (bigintorstringfor the example above) and can be run on rows of data passed asInternalRow.There are two types of bound functions:
ScalarFunctionthat produces a value for every input row passed tocallandAggregateFunctionthat is used for aggregations.Methods of
AggregateFunctionoperate on state for each aggregate group. First, state is initialized byinitialize, then one or more rows is added to the state by callingupdate. These steps may be done in parallel in separate tasks and state must beSerializable. Intermediate state objects should be merged usingmergeto get one complete state, and the result is produced by callingresult.