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[SPARK-26246][SQL] Inferring TimestampType from JSON
## What changes were proposed in this pull request? The `JsonInferSchema` class is extended to support `TimestampType` inferring from string fields in JSON input: - If the `prefersDecimal` option is set to `true`, it tries to infer decimal type from the string field. - If decimal type inference fails or `prefersDecimal` is disabled, `JsonInferSchema` tries to infer `TimestampType`. - If timestamp type inference fails, `StringType` is returned as the inferred type. ## How was this patch tested? Added new test suite - `JsonInferSchemaSuite` to check date and timestamp types inferring from JSON using `JsonInferSchema` directly. A few tests were added `JsonSuite` to check type merging and roundtrip tests. This changes was tested by `JsonSuite`, `JsonExpressionsSuite` and `JsonFunctionsSuite` as well. Closes apache#23201 from MaxGekk/json-infer-time. Lead-authored-by: Maxim Gekk <maxim.gekk@databricks.com> Co-authored-by: Maxim Gekk <max.gekk@gmail.com> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/json/JsonInferSchemaSuite.scala
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You under the Apache License, Version 2.0 | ||
| * (the "License"); you may not use this file except in compliance with | ||
| * the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.spark.sql.catalyst.json | ||
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| import com.fasterxml.jackson.core.JsonFactory | ||
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| import org.apache.spark.SparkFunSuite | ||
| import org.apache.spark.sql.catalyst.plans.SQLHelper | ||
| import org.apache.spark.sql.internal.SQLConf | ||
| import org.apache.spark.sql.types._ | ||
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| class JsonInferSchemaSuite extends SparkFunSuite with SQLHelper { | ||
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| def checkType(options: Map[String, String], json: String, dt: DataType): Unit = { | ||
| val jsonOptions = new JSONOptions(options, "UTC", "") | ||
| val inferSchema = new JsonInferSchema(jsonOptions) | ||
| val factory = new JsonFactory() | ||
| jsonOptions.setJacksonOptions(factory) | ||
| val parser = CreateJacksonParser.string(factory, json) | ||
| parser.nextToken() | ||
| val expectedType = StructType(Seq(StructField("a", dt, true))) | ||
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| assert(inferSchema.inferField(parser) === expectedType) | ||
| } | ||
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| def checkTimestampType(pattern: String, json: String): Unit = { | ||
| checkType(Map("timestampFormat" -> pattern), json, TimestampType) | ||
| } | ||
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| test("inferring timestamp type") { | ||
| Seq(true, false).foreach { legacyParser => | ||
| withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> legacyParser.toString) { | ||
| checkTimestampType("yyyy", """{"a": "2018"}""") | ||
| checkTimestampType("yyyy=MM", """{"a": "2018=12"}""") | ||
| checkTimestampType("yyyy MM dd", """{"a": "2018 12 02"}""") | ||
| checkTimestampType( | ||
| "yyyy-MM-dd'T'HH:mm:ss.SSS", | ||
| """{"a": "2018-12-02T21:04:00.123"}""") | ||
| checkTimestampType( | ||
| "yyyy-MM-dd'T'HH:mm:ss.SSSSSSXXX", | ||
| """{"a": "2018-12-02T21:04:00.123567+01:00"}""") | ||
| } | ||
| } | ||
| } | ||
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| test("prefer decimals over timestamps") { | ||
| Seq(true, false).foreach { legacyParser => | ||
| withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> legacyParser.toString) { | ||
| checkType( | ||
| options = Map( | ||
| "prefersDecimal" -> "true", | ||
| "timestampFormat" -> "yyyyMMdd.HHmmssSSS" | ||
| ), | ||
| json = """{"a": "20181202.210400123"}""", | ||
| dt = DecimalType(17, 9) | ||
| ) | ||
| } | ||
| } | ||
| } | ||
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| test("skip decimal type inferring") { | ||
| Seq(true, false).foreach { legacyParser => | ||
| withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> legacyParser.toString) { | ||
| checkType( | ||
| options = Map( | ||
| "prefersDecimal" -> "false", | ||
| "timestampFormat" -> "yyyyMMdd.HHmmssSSS" | ||
| ), | ||
| json = """{"a": "20181202.210400123"}""", | ||
| dt = TimestampType | ||
| ) | ||
| } | ||
| } | ||
| } | ||
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| test("fallback to string type") { | ||
| Seq(true, false).foreach { legacyParser => | ||
| withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> legacyParser.toString) { | ||
| checkType( | ||
| options = Map("timestampFormat" -> "yyyy,MM,dd.HHmmssSSS"), | ||
| json = """{"a": "20181202.210400123"}""", | ||
| dt = StringType | ||
| ) | ||
| } | ||
| } | ||
| } | ||
| } |
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